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AI Blitz #7

Debris Object Detection using TensorFlow [PublicLB: 0.990]

Using TensorFlow FrameWork and EfficientNetD0 Pretrained Model

g_mothy

Debris Detection [Object Detection]

Reference: https://github.com/tensorflow/models/tree/master/research/object_detection

Problem Statement: You’re encountering a large belt of space debris! You must use the tools of object detection to box this debris so you can safely take your rover to Mars.

Table of Content

  1. Download the data
  2. Convert Annotations into Json format from dataframe
  3. Git Clone the Tensorflow object-detection module & Setup the requirements Tensorflow
  4. Preparation of data for the model TF records
  5. Download Pretrained Model from Tensorflow Zoo
  6. Configure the Pipeline for training & evaluation
  7. Train the model using GPU or TPU (Used GPU in this example)
  8. Evaluate the performance of the model
  9. Export the model for Inference
  10. Inference on Test data and prepare the submission file.

image.png

1. Download the data

In [ ]:
!pip install aicrowd-cli

Collecting aicrowd-cli
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ERROR: google-colab 1.0.0 has requirement requests~=2.23.0, but you'll have requests 2.25.1 which is incompatible.
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In [ ]:
API_KEY = "" 
!aicrowd login --api-key $API_KEY

API Key valid
Saved API Key successfully!
In [ ]:
!aicrowd dataset download --challenge debris-detection

sample_submission.csv: 100% 1.98M/1.98M [00:00<00:00, 10.6MB/s]
test.zip: 100% 259M/259M [00:18<00:00, 13.8MB/s]
train.csv: 100% 1.78M/1.78M [00:00<00:00, 9.92MB/s]
train.zip: 100% 1.04G/1.04G [01:15<00:00, 13.6MB/s]
val.csv: 100% 176k/176k [00:00<00:00, 1.89MB/s]
val.zip: 100% 104M/104M [00:13<00:00, 7.54MB/s]
In [ ]:
!rm -rf data
!mkdir data

!unzip train.zip -d data/train > /dev/null

!unzip val.zip -d data/val > /dev/null

!unzip test.zip -d data/test > /dev/null

!mv train.csv data/train.csv
!mv val.csv data/val.csv
In [ ]:
!rm -rf /content/test.zip
!rm -rf /content/train.zip
!rm -rf /content/val.zip

2. Converting Annotations from DataFrame into json files

In [ ]:
import numpy as np 
import pandas as pd
In [ ]:
train = pd.read_csv("/content/data/train.csv")
val = pd.read_csv("/content/data/val.csv")
In [ ]:
train.head()
Out[ ]:
ImageID bboxes
0 0 [[282, 308, 58, 86], [228, 256, 191, 218], [10...
1 1 [[97, 127, 297, 332], [315, 352, 136, 168], [7...
2 2 [[45, 76, 244, 269], [154, 182, 457, 484], [20...
3 3 [[252, 282, 86, 110], [315, 333, 379, 412], [2...
4 4 [[175, 203, 406, 440], [57, 86, 433, 464], [26...
In [ ]:
print("Train Shape:",train.shape)
print("Val Shape:",val.shape)

Train Shape: (20000, 2)
Val Shape: (2000, 2)
In [ ]:
!mkdir train_annotations
!mkdir val_annotations
In [ ]:
import cv2
import json
from ast import literal_eval
import os
from tqdm import tqdm


def convert_df_json_format(data_dir,df,image_dir):
    for index, row in tqdm(df.iterrows()):
        
        image = cv2.imread(os.path.join(image_dir,f"{row['ImageID']}.jpg"),1)
        width, height,_ = image.shape
        
        data_dict = {
            "file":"",
            "categories":[
                {
                    "class_id":0,
                    "name":"debris"
                }
            ],
            "image_size":[
                {
                    "width":512,
                    "height":512
                }
            ],
            "annotations":[]
        }
        
        data_dict['image_size'][0]['width'] = width
        data_dict['image_size'][0]['height'] = height

        bboxes = literal_eval(row['bboxes'])
        data_dict['file'] = f"{row['ImageID']}.jpg"
        
        
        for n, bbox in enumerate(bboxes):
            ann_dict = {"class_id": 0, 
                        "xmin": bbox[0], 
                        "xmax": bbox[1], 
                        "ymin": bbox[2], 
                        "ymax": bbox[3]}
            data_dict['annotations'].append(ann_dict)

        with open(os.path.join(data_dir,f"{row['ImageID']}.json"),'w') as fp:
            json.dump(data_dict,fp)
In [ ]:
data_dir = "train_annotations"
convert_df_json_format(data_dir,train,image_dir="/content/data/train")

data_dir = "val_annotations"
convert_df_json_format(data_dir,val,image_dir="/content/data/val")

20000it [01:24, 235.64it/s]
2000it [00:08, 233.03it/s]

3. Clone the repo & Setup

In [ ]:
# make sure we the required packages
!pip install --user Cython -q
!pip install --user contextlib2 -q
!pip install --user pillow -q
!pip install --user lxml -q
!pip install --user matplotlib -q
In [ ]:
!wget -O protobuf.zip https://github.com/google/protobuf/releases/download/v3.0.0/protoc-3.0.0-linux-x86_64.zip -q
!unzip -o protobuf.zip -d /usr/local bin/protoc
!unzip -o protobuf.zip -d /usr/local include/*
!rm -f protobuf.zip

Archive:  protobuf.zip
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Archive:  protobuf.zip
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In [ ]:
#%cd /kaggle
!rm -fr models
!git clone https://github.com/tensorflow/models.git
!rm -fr models/.git

Cloning into 'models'...
remote: Enumerating objects: 1156, done.
remote: Counting objects: 100% (1156/1156), done.
remote: Compressing objects: 100% (682/682), done.
remote: Total 55148 (delta 613), reused 925 (delta 457), pack-reused 53992
Receiving objects: 100% (55148/55148), 572.25 MiB | 34.41 MiB/s, done.
Resolving deltas: 100% (37697/37697), done.
In [ ]:
%%bash
cd models/research
protoc object_detection/protos/*.proto --python_out=.
cp object_detection/packages/tf2/setup.py .
python -m pip install .

Processing /content/models/research
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Building wheels for collected packages: object-detection, avro-python3, dill, future, seqeval, py-cpuinfo
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Installing collected packages: avro-python3, pbr, mock, fastavro, dill, pyarrow, hdfs, future, apache-beam, tf-slim, lvis, seqeval, dataclasses, tensorflow-addons, py-cpuinfo, tensorflow-model-optimization, opencv-python-headless, sentencepiece, pyyaml, tf-models-official, object-detection
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Successfully installed apache-beam-2.28.0 avro-python3-1.10.2 dataclasses-0.6 dill-0.3.1.1 fastavro-1.3.5 future-0.18.2 hdfs-2.6.0 lvis-0.5.3 mock-2.0.0 object-detection-0.1 opencv-python-headless-4.5.1.48 pbr-5.5.1 py-cpuinfo-7.0.0 pyarrow-2.0.0 pyyaml-5.4.1 sentencepiece-0.1.95 seqeval-1.2.2 tensorflow-addons-0.12.1 tensorflow-model-optimization-0.5.0 tf-models-official-2.4.0 tf-slim-1.1.0

ERROR: multiprocess 0.70.11.1 has requirement dill>=0.3.3, but you'll have dill 0.3.1.1 which is incompatible.
ERROR: apache-beam 2.28.0 has requirement avro-python3!=1.9.2,<1.10.0,>=1.8.1, but you'll have avro-python3 1.10.2 which is incompatible.
In [ ]:
import os

os.environ['AUTOGRAPH_VERBOSITY'] = '0'
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
os.environ['PYTHONPATH']=os.environ['PYTHONPATH']+':/content/models/research/slim:/content/models/research'
os.environ['PYTHONPATH']
In [ ]:
!pip install tf_slim

Testing the Installation & setup

In [ ]:
%cd /content/models/research/
In [ ]:
!pwd
!python object_detection/builders/model_builder_tf2_test.py

This is to check if tensorflow recognized the GPU or not

In [ ]:
from tensorflow.python.client import device_lib
device_lib.list_local_devices()
Out[ ]:
[name: "/device:CPU:0"
 device_type: "CPU"
 memory_limit: 268435456
 locality {
 }
 incarnation: 18148243120561675754, name: "/device:GPU:0"
 device_type: "GPU"
 memory_limit: 14674281152
 locality {
   bus_id: 1
   links {
   }
 }
 incarnation: 1963904533623369613
 physical_device_desc: "device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5"]

4. Preparation of Data [TfRecords]

In [ ]:
%cd /content

/content
In [ ]:
!mkdir train
In [ ]:
%%writefile train/label_map.pbtxt

item {
    id: 1
    name:'debris'
}

Writing train/label_map.pbtxt
In [ ]:
%cd /content/models/research/

/content/models/research
In [ ]:
from object_detection.utils import label_map_util

label_map_util.get_label_map_dict('../../train/label_map.pbtxt')
Out[ ]:
{'debris': 1}
In [ ]:
import contextlib2
import logging
import json
import io
import os

import hashlib
import numpy as np
import PIL.Image

import tensorflow.compat.v1 as tf
from object_detection.dataset_tools import tf_record_creation_util
from object_detection.utils import dataset_util
from object_detection.utils import label_map_util

class create_tf_records_data:
    def __init__(self,
                 anno_data_dir,
                 image_data_dir,
                 label_txt_path,
                 output_path):

        self.num_shards = 10
        
        self.anno_data_dir = anno_data_dir #"/content"
        self.image_data_dir = image_data_dir
        self.label_txt_path = label_txt_path #"/content/train/label_map.pbtxt"
        self.output_path = output_path #"/content/train/"
        

        self.label_map_dict = label_map_util.get_label_map_dict(self.label_txt_path)

        self.train_output_path = os.path.join(self.output_path, 'debris_train.record')
        self.val_output_path = os.path.join(self.output_path, 'debris_val.record')


    def create_tf_record(self, output_filename, examples,annotations_dir,image_dir):
        """Creates a TFRecord file from examples.

        Args:
            output_filename: Path to where output file is saved.
            num_shards: Number of shards for output file.
            label_map_dict: The label map dictionary.
            annotations_dir: Directory where annotation files are stored.
            image_dir: Directory where image files are stored.
            examples: Examples to parse and save to tf record.
        """
        with contextlib2.ExitStack() as tf_record_close_stack:
            output_tfrecords = tf_record_creation_util.open_sharded_output_tfrecords(
                tf_record_close_stack, output_filename, self.num_shards)
            for idx, example in enumerate(examples):
                if idx % 100 == 0:
                    logging.info('On image %d of %d', idx, len(examples))
                json_path = os.path.join(annotations_dir, example)

                if not os.path.exists(json_path):
                    logging.warning('Could not find %s, ignoring example.', json_path)
                    continue

                with open(json_path) as f:
                    data = json.load(f)
                
                try:
                    tf_example = self.dict_to_tf_example(data,image_dir)
                    if tf_example:
                        shard_idx = idx % self.num_shards
                        output_tfrecords[shard_idx].write(tf_example.SerializeToString())
                except ValueError:
                    logging.warning('Invalid example: %s, ignoring.', json_path)


    def dict_to_tf_example(self,data,image_dir):

        img_path = os.path.join(image_dir, data['file'])
        with tf.gfile.GFile(img_path, 'rb') as fid:
            encoded_jpg = fid.read()
        encoded_jpg_io = io.BytesIO(encoded_jpg)
        image = PIL.Image.open(encoded_jpg_io)
        key = hashlib.sha256(encoded_jpg).hexdigest()

        width = int(data['image_size'][0]['width'])
        height = int(data['image_size'][0]['height'])
        
        xmins = []
        ymins = []
        xmaxs = []
        ymaxs = []
        classes = []
        classes_text = []

        if data['annotations']:
            for obj in data['annotations']:
                xmin = float(obj['xmin'])
                xmax = float(obj['xmax'])
                ymin = float(obj['ymin'])
                ymax = float(obj['ymax'])
                

                xmins.append(xmin / width)
                ymins.append(ymin / height)
                xmaxs.append(xmax / width)
                ymaxs.append(ymax / height)
        
                class_name = data['categories'][obj['class_id']]['name']
                class_name = class_name.replace(" ","_")
                classes_text.append(class_name.encode('utf8'))
                classes.append(self.label_map_dict[class_name])
        

            feature_dict = {
                'image/height': dataset_util.int64_feature(height),
                'image/width': dataset_util.int64_feature(width),
                'image/filename': dataset_util.bytes_feature(
                                    data['file'].encode('utf8')),
                'image/source_id': dataset_util.bytes_feature(
                                    data['file'].encode('utf8')),
                'image/key/sha256': dataset_util.bytes_feature(key.encode('utf8')),
                'image/encoded': dataset_util.bytes_feature(encoded_jpg),
                'image/format': dataset_util.bytes_feature('png'.encode('utf8')),
                'image/object/bbox/xmin': dataset_util.float_list_feature(xmins),
                'image/object/bbox/xmax': dataset_util.float_list_feature(xmaxs),
                'image/object/bbox/ymin': dataset_util.float_list_feature(ymins),
                'image/object/bbox/ymax': dataset_util.float_list_feature(ymaxs),
                'image/object/class/text': dataset_util.bytes_list_feature(classes_text),
                'image/object/class/label': dataset_util.int64_list_feature(classes),
                        }
            
            example = tf.train.Example(features=tf.train.Features(feature=feature_dict))
            return example

    def run(self):
        
        train_examples = os.listdir(os.path.join(self.anno_data_dir,"train_annotations"))
        
        annotations_dir = os.path.join(self.anno_data_dir,"train_annotations")
        image_dir = os.path.join(self.image_data_dir,"train")

        self.create_tf_record(self.train_output_path,train_examples,annotations_dir,image_dir)
        print("Training Data Converted into tf Format!")

        val_examples = os.listdir(os.path.join(self.anno_data_dir,"val_annotations"))
        annotations_dir = os.path.join(self.anno_data_dir,"val_annotations")
        image_dir = os.path.join(self.image_data_dir,"val")

        self.create_tf_record(self.val_output_path,val_examples,annotations_dir,image_dir)
        print("Validation Data Converted into tf Format!")
In [ ]:
anno_data_dir = "/content"
image_data_dir = "../../data"
output_dir= "../../train/" 
label_txt_path = "../../train/label_map.pbtxt"

records = create_tf_records_data(anno_data_dir,
                                 image_data_dir,
                                 label_txt_path,
                                 output_dir)
records.run()

Training Data Converted into tf Format!
Validation Data Converted into tf Format!
In [ ]:
!ls ../../train

debris_train.record-00000-of-00010  debris_val.record-00001-of-00010
debris_train.record-00001-of-00010  debris_val.record-00002-of-00010
debris_train.record-00002-of-00010  debris_val.record-00003-of-00010
debris_train.record-00003-of-00010  debris_val.record-00004-of-00010
debris_train.record-00004-of-00010  debris_val.record-00005-of-00010
debris_train.record-00005-of-00010  debris_val.record-00006-of-00010
debris_train.record-00006-of-00010  debris_val.record-00007-of-00010
debris_train.record-00007-of-00010  debris_val.record-00008-of-00010
debris_train.record-00008-of-00010  debris_val.record-00009-of-00010
debris_train.record-00009-of-00010  label_map.pbtxt
debris_val.record-00000-of-00010

5. Download the pretrained Model

In [ ]:
!wget http://download.tensorflow.org/models/object_detection/tf2/20200711/efficientdet_d0_coco17_tpu-32.tar.gz
!tar -xvf efficientdet_d0_coco17_tpu-32.tar.gz
!rm efficientdet_d0_coco17_tpu-32.tar.gz

--2021-04-02 08:47:35--  http://download.tensorflow.org/models/object_detection/tf2/20200711/efficientdet_d0_coco17_tpu-32.tar.gz
Resolving download.tensorflow.org (download.tensorflow.org)... 74.125.195.128, 2607:f8b0:400e:c09::80
Connecting to download.tensorflow.org (download.tensorflow.org)|74.125.195.128|:80... connected.
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efficientdet_d0_coco17_tpu-32/
efficientdet_d0_coco17_tpu-32/checkpoint/
efficientdet_d0_coco17_tpu-32/checkpoint/ckpt-0.data-00000-of-00001
efficientdet_d0_coco17_tpu-32/checkpoint/checkpoint
efficientdet_d0_coco17_tpu-32/checkpoint/ckpt-0.index
efficientdet_d0_coco17_tpu-32/pipeline.config
efficientdet_d0_coco17_tpu-32/saved_model/
efficientdet_d0_coco17_tpu-32/saved_model/saved_model.pb
efficientdet_d0_coco17_tpu-32/saved_model/assets/
efficientdet_d0_coco17_tpu-32/saved_model/variables/
efficientdet_d0_coco17_tpu-32/saved_model/variables/variables.data-00000-of-00001
efficientdet_d0_coco17_tpu-32/saved_model/variables/variables.index

6. Configure the Pipeline for training & evaluation

In [ ]:
%%writefile ../../train/pipeline.config

model {
  ssd {
    num_classes: 1
    image_resizer {
      keep_aspect_ratio_resizer {
        min_dimension: 512
        max_dimension: 512
        pad_to_max_dimension: true
      }
    }
    feature_extractor {
      type: "ssd_efficientnet-b0_bifpn_keras"
      conv_hyperparams {
        regularizer {
          l2_regularizer {
            weight: 3.9999998989515007e-05
          }
        }
        initializer {
          truncated_normal_initializer {
            mean: 0.0
            stddev: 0.029999999329447746
          }
        }
        activation: SWISH
        batch_norm {
          decay: 0.9900000095367432
          scale: true
          epsilon: 0.0010000000474974513
        }
        force_use_bias: true
      }
      bifpn {
        min_level: 3
        max_level: 7
        num_iterations: 3
        num_filters: 64
      }
    }
    box_coder {
      faster_rcnn_box_coder {
        y_scale: 1.0
        x_scale: 1.0
        height_scale: 1.0
        width_scale: 1.0
      }
    }
    matcher {
      argmax_matcher {
        matched_threshold: 0.5
        unmatched_threshold: 0.5
        ignore_thresholds: false
        negatives_lower_than_unmatched: true
        force_match_for_each_row: true
        use_matmul_gather: true
      }
    }
    similarity_calculator {
      iou_similarity {
      }
    }
    box_predictor {
      weight_shared_convolutional_box_predictor {
        conv_hyperparams {
          regularizer {
            l2_regularizer {
              weight: 3.9999998989515007e-05
            }
          }
          initializer {
            random_normal_initializer {
              mean: 0.0
              stddev: 0.009999999776482582
            }
          }
          activation: SWISH
          batch_norm {
            decay: 0.9900000095367432
            scale: true
            epsilon: 0.0010000000474974513
          }
          force_use_bias: true
        }
        depth: 64
        num_layers_before_predictor: 3
        kernel_size: 3
        class_prediction_bias_init: -4.599999904632568
        use_depthwise: true
      }
    }
    anchor_generator {
      multiscale_anchor_generator {
        min_level: 3
        max_level: 7
        anchor_scale: 4.0
        aspect_ratios: 1.0
        aspect_ratios: 2.0
        aspect_ratios: 0.5
        scales_per_octave: 3
      }
    }
    post_processing {
      batch_non_max_suppression {
        score_threshold: 9.99999993922529e-09
        iou_threshold: 0.5
        max_detections_per_class: 100
        max_total_detections: 100
      }
      score_converter: SIGMOID
    }
    normalize_loss_by_num_matches: true
    loss {
      localization_loss {
        weighted_smooth_l1 {
        }
      }
      classification_loss {
        weighted_sigmoid_focal {
          gamma: 1.5
          alpha: 0.25
        }
      }
      classification_weight: 1.0
      localization_weight: 1.0
    }
    encode_background_as_zeros: true
    normalize_loc_loss_by_codesize: true
    inplace_batchnorm_update: true
    freeze_batchnorm: false
    add_background_class: false
  }
}
train_config {
  batch_size: 16
  data_augmentation_options {
    random_horizontal_flip {
    }
  }
  data_augmentation_options {
    random_scale_crop_and_pad_to_square {
      output_size: 512
      scale_min: 0.10000000149011612
      scale_max: 2.0
    }
  }
  sync_replicas: true
  optimizer {
    momentum_optimizer {
      learning_rate {
        cosine_decay_learning_rate {
          learning_rate_base: 0.07999999821186066
          total_steps: 300000
          warmup_learning_rate: 0.0010000000474974513
          warmup_steps: 2500
        }
      }
      momentum_optimizer_value: 0.8999999761581421
    }
    use_moving_average: false
  }
  fine_tune_checkpoint: "models/research/efficientdet_d0_coco17_tpu-32/checkpoint/ckpt-0"
  num_steps: 4000
  startup_delay_steps: 0.0
  replicas_to_aggregate: 8
  max_number_of_boxes: 100
  unpad_groundtruth_tensors: false
  fine_tune_checkpoint_type: "detection"
  use_bfloat16: false
  fine_tune_checkpoint_version: V2
}
train_input_reader: {
  label_map_path: "train/label_map.pbtxt"
  tf_record_input_reader {
    input_path: "train/debris_train.record-?????-of-00010"
  }
}

eval_config: {
  metrics_set: "coco_detection_metrics"
  use_moving_averages: false
  batch_size: 1
  num_examples: 998
  num_visualizations: 10
}

eval_input_reader: {
  label_map_path: "train/label_map.pbtxt"
  shuffle: false
  num_epochs: 1
  tf_record_input_reader {
    input_path: "train/debris_val.record-?????-of-00010"
  }
}

Writing ../../train/pipeline.config
In [ ]:

7. Training the model

In [ ]:
!mkdir efficientdet_d0_coco17_tpu-32/model_directory
In [ ]:
%cd /content

/content
In [ ]:
#train
PIPELINE_CONFIG_PATH='train/pipeline.config'
MODEL_DIR= "models/research/efficientdet_d0_coco17_tpu-32/model_directory/"
!python models/research/object_detection/model_main_tf2.py \
    --pipeline_config_path=$PIPELINE_CONFIG_PATH \
    --model_dir=$MODEL_DIR \
    --alsologtostderr \
    --checkpoint_every_n=600

INFO:tensorflow:Using MirroredStrategy with devices ('/job:localhost/replica:0/task:0/device:GPU:0',)
I0402 08:47:40.360493 140466927495040 mirrored_strategy.py:350] Using MirroredStrategy with devices ('/job:localhost/replica:0/task:0/device:GPU:0',)
INFO:tensorflow:Maybe overwriting train_steps: None
I0402 08:47:40.364855 140466927495040 config_util.py:552] Maybe overwriting train_steps: None
INFO:tensorflow:Maybe overwriting use_bfloat16: False
I0402 08:47:40.365031 140466927495040 config_util.py:552] Maybe overwriting use_bfloat16: False
I0402 08:47:40.383332 140466927495040 ssd_efficientnet_bifpn_feature_extractor.py:143] EfficientDet EfficientNet backbone version: efficientnet-b0
I0402 08:47:40.383474 140466927495040 ssd_efficientnet_bifpn_feature_extractor.py:144] EfficientDet BiFPN num filters: 64
I0402 08:47:40.383547 140466927495040 ssd_efficientnet_bifpn_feature_extractor.py:146] EfficientDet BiFPN num iterations: 3
I0402 08:47:40.393989 140466927495040 efficientnet_model.py:147] round_filter input=32 output=32
INFO:tensorflow:Reduce to /job:localhost/replica:0/task:0/device:CPU:0 then broadcast to ('/job:localhost/replica:0/task:0/device:CPU:0',).
I0402 08:47:40.501507 140466927495040 cross_device_ops.py:565] Reduce to /job:localhost/replica:0/task:0/device:CPU:0 then broadcast to ('/job:localhost/replica:0/task:0/device:CPU:0',).
INFO:tensorflow:Reduce to /job:localhost/replica:0/task:0/device:CPU:0 then broadcast to ('/job:localhost/replica:0/task:0/device:CPU:0',).
I0402 08:47:40.507553 140466927495040 cross_device_ops.py:565] Reduce to /job:localhost/replica:0/task:0/device:CPU:0 then broadcast to ('/job:localhost/replica:0/task:0/device:CPU:0',).
INFO:tensorflow:Reduce to /job:localhost/replica:0/task:0/device:CPU:0 then broadcast to ('/job:localhost/replica:0/task:0/device:CPU:0',).
I0402 08:47:40.509509 140466927495040 cross_device_ops.py:565] Reduce to /job:localhost/replica:0/task:0/device:CPU:0 then broadcast to ('/job:localhost/replica:0/task:0/device:CPU:0',).
INFO:tensorflow:Reduce to /job:localhost/replica:0/task:0/device:CPU:0 then broadcast to ('/job:localhost/replica:0/task:0/device:CPU:0',).
I0402 08:47:40.510334 140466927495040 cross_device_ops.py:565] Reduce to /job:localhost/replica:0/task:0/device:CPU:0 then broadcast to ('/job:localhost/replica:0/task:0/device:CPU:0',).
INFO:tensorflow:Reduce to /job:localhost/replica:0/task:0/device:CPU:0 then broadcast to ('/job:localhost/replica:0/task:0/device:CPU:0',).
I0402 08:47:40.516478 140466927495040 cross_device_ops.py:565] Reduce to /job:localhost/replica:0/task:0/device:CPU:0 then broadcast to ('/job:localhost/replica:0/task:0/device:CPU:0',).
INFO:tensorflow:Reduce to /job:localhost/replica:0/task:0/device:CPU:0 then broadcast to ('/job:localhost/replica:0/task:0/device:CPU:0',).
I0402 08:47:40.519260 140466927495040 cross_device_ops.py:565] Reduce to /job:localhost/replica:0/task:0/device:CPU:0 then broadcast to ('/job:localhost/replica:0/task:0/device:CPU:0',).
I0402 08:47:40.524015 140466927495040 efficientnet_model.py:147] round_filter input=32 output=32
I0402 08:47:40.524115 140466927495040 efficientnet_model.py:147] round_filter input=16 output=16
INFO:tensorflow:Reduce to /job:localhost/replica:0/task:0/device:CPU:0 then broadcast to ('/job:localhost/replica:0/task:0/device:CPU:0',).
I0402 08:47:40.536586 140466927495040 cross_device_ops.py:565] Reduce to /job:localhost/replica:0/task:0/device:CPU:0 then broadcast to ('/job:localhost/replica:0/task:0/device:CPU:0',).
INFO:tensorflow:Reduce to /job:localhost/replica:0/task:0/device:CPU:0 then broadcast to ('/job:localhost/replica:0/task:0/device:CPU:0',).
I0402 08:47:40.537411 140466927495040 cross_device_ops.py:565] Reduce to /job:localhost/replica:0/task:0/device:CPU:0 then broadcast to ('/job:localhost/replica:0/task:0/device:CPU:0',).
INFO:tensorflow:Reduce to /job:localhost/replica:0/task:0/device:CPU:0 then broadcast to ('/job:localhost/replica:0/task:0/device:CPU:0',).
I0402 08:47:40.538785 140466927495040 cross_device_ops.py:565] Reduce to /job:localhost/replica:0/task:0/device:CPU:0 then broadcast to ('/job:localhost/replica:0/task:0/device:CPU:0',).
INFO:tensorflow:Reduce to /job:localhost/replica:0/task:0/device:CPU:0 then broadcast to ('/job:localhost/replica:0/task:0/device:CPU:0',).
I0402 08:47:40.539555 140466927495040 cross_device_ops.py:565] Reduce to /job:localhost/replica:0/task:0/device:CPU:0 then broadcast to ('/job:localhost/replica:0/task:0/device:CPU:0',).
I0402 08:47:40.606768 140466927495040 efficientnet_model.py:147] round_filter input=16 output=16
I0402 08:47:40.606924 140466927495040 efficientnet_model.py:147] round_filter input=24 output=24
I0402 08:47:40.830124 140466927495040 efficientnet_model.py:147] round_filter input=24 output=24
I0402 08:47:40.830278 140466927495040 efficientnet_model.py:147] round_filter input=40 output=40
I0402 08:47:41.069592 140466927495040 efficientnet_model.py:147] round_filter input=40 output=40
I0402 08:47:41.069758 140466927495040 efficientnet_model.py:147] round_filter input=80 output=80
I0402 08:47:41.423030 140466927495040 efficientnet_model.py:147] round_filter input=80 output=80
I0402 08:47:41.423197 140466927495040 efficientnet_model.py:147] round_filter input=112 output=112
I0402 08:47:41.768544 140466927495040 efficientnet_model.py:147] round_filter input=112 output=112
I0402 08:47:41.768763 140466927495040 efficientnet_model.py:147] round_filter input=192 output=192
I0402 08:47:42.245991 140466927495040 efficientnet_model.py:147] round_filter input=192 output=192
I0402 08:47:42.246165 140466927495040 efficientnet_model.py:147] round_filter input=320 output=320
I0402 08:47:42.362195 140466927495040 efficientnet_model.py:147] round_filter input=1280 output=1280
I0402 08:47:42.405128 140466927495040 efficientnet_model.py:458] Building model efficientnet with params ModelConfig(width_coefficient=1.0, depth_coefficient=1.0, resolution=224, dropout_rate=0.2, blocks=(BlockConfig(input_filters=32, output_filters=16, kernel_size=3, num_repeat=1, expand_ratio=1, strides=(1, 1), se_ratio=0.25, id_skip=True, fused_conv=False, conv_type='depthwise'), BlockConfig(input_filters=16, output_filters=24, kernel_size=3, num_repeat=2, expand_ratio=6, strides=(2, 2), se_ratio=0.25, id_skip=True, fused_conv=False, conv_type='depthwise'), BlockConfig(input_filters=24, output_filters=40, kernel_size=5, num_repeat=2, expand_ratio=6, strides=(2, 2), se_ratio=0.25, id_skip=True, fused_conv=False, conv_type='depthwise'), BlockConfig(input_filters=40, output_filters=80, kernel_size=3, num_repeat=3, expand_ratio=6, strides=(2, 2), se_ratio=0.25, id_skip=True, fused_conv=False, conv_type='depthwise'), BlockConfig(input_filters=80, output_filters=112, kernel_size=5, num_repeat=3, expand_ratio=6, strides=(1, 1), se_ratio=0.25, id_skip=True, fused_conv=False, conv_type='depthwise'), BlockConfig(input_filters=112, output_filters=192, kernel_size=5, num_repeat=4, expand_ratio=6, strides=(2, 2), se_ratio=0.25, id_skip=True, fused_conv=False, conv_type='depthwise'), BlockConfig(input_filters=192, output_filters=320, kernel_size=3, num_repeat=1, expand_ratio=6, strides=(1, 1), se_ratio=0.25, id_skip=True, fused_conv=False, conv_type='depthwise')), stem_base_filters=32, top_base_filters=1280, activation='simple_swish', batch_norm='default', bn_momentum=0.99, bn_epsilon=0.001, weight_decay=5e-06, drop_connect_rate=0.2, depth_divisor=8, min_depth=None, use_se=True, input_channels=3, num_classes=1000, model_name='efficientnet', rescale_input=False, data_format='channels_last', dtype='float32')
WARNING:tensorflow:From /usr/local/lib/python3.7/dist-packages/object_detection/model_lib_v2.py:546: StrategyBase.experimental_distribute_datasets_from_function (from tensorflow.python.distribute.distribute_lib) is deprecated and will be removed in a future version.
Instructions for updating:
rename to distribute_datasets_from_function
W0402 08:47:42.457459 140466927495040 deprecation.py:339] From /usr/local/lib/python3.7/dist-packages/object_detection/model_lib_v2.py:546: StrategyBase.experimental_distribute_datasets_from_function (from tensorflow.python.distribute.distribute_lib) is deprecated and will be removed in a future version.
Instructions for updating:
rename to distribute_datasets_from_function
INFO:tensorflow:Reading unweighted datasets: ['train/debris_train.record-?????-of-00010']
I0402 08:47:42.469158 140466927495040 dataset_builder.py:163] Reading unweighted datasets: ['train/debris_train.record-?????-of-00010']
INFO:tensorflow:Reading record datasets for input file: ['train/debris_train.record-?????-of-00010']
I0402 08:47:42.470536 140466927495040 dataset_builder.py:80] Reading record datasets for input file: ['train/debris_train.record-?????-of-00010']
INFO:tensorflow:Number of filenames to read: 10
I0402 08:47:42.470663 140466927495040 dataset_builder.py:81] Number of filenames to read: 10
WARNING:tensorflow:num_readers has been reduced to 10 to match input file shards.
W0402 08:47:42.470763 140466927495040 dataset_builder.py:88] num_readers has been reduced to 10 to match input file shards.
WARNING:tensorflow:From /usr/local/lib/python3.7/dist-packages/object_detection/builders/dataset_builder.py:105: parallel_interleave (from tensorflow.python.data.experimental.ops.interleave_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.data.Dataset.interleave(map_func, cycle_length, block_length, num_parallel_calls=tf.data.AUTOTUNE)` instead. If sloppy execution is desired, use `tf.data.Options.experimental_deterministic`.
W0402 08:47:42.477959 140466927495040 deprecation.py:339] From /usr/local/lib/python3.7/dist-packages/object_detection/builders/dataset_builder.py:105: parallel_interleave (from tensorflow.python.data.experimental.ops.interleave_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.data.Dataset.interleave(map_func, cycle_length, block_length, num_parallel_calls=tf.data.AUTOTUNE)` instead. If sloppy execution is desired, use `tf.data.Options.experimental_deterministic`.
WARNING:tensorflow:From /usr/local/lib/python3.7/dist-packages/object_detection/builders/dataset_builder.py:237: DatasetV1.map_with_legacy_function (from tensorflow.python.data.ops.dataset_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.data.Dataset.map()
W0402 08:47:42.498534 140466927495040 deprecation.py:339] From /usr/local/lib/python3.7/dist-packages/object_detection/builders/dataset_builder.py:237: DatasetV1.map_with_legacy_function (from tensorflow.python.data.ops.dataset_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.data.Dataset.map()
WARNING:tensorflow:From /usr/local/lib/python3.7/dist-packages/tensorflow/python/util/dispatch.py:201: sparse_to_dense (from tensorflow.python.ops.sparse_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Create a `tf.sparse.SparseTensor` and use `tf.sparse.to_dense` instead.
W0402 08:47:49.476512 140466927495040 deprecation.py:339] From /usr/local/lib/python3.7/dist-packages/tensorflow/python/util/dispatch.py:201: sparse_to_dense (from tensorflow.python.ops.sparse_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Create a `tf.sparse.SparseTensor` and use `tf.sparse.to_dense` instead.
WARNING:tensorflow:From /usr/local/lib/python3.7/dist-packages/object_detection/inputs.py:282: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.cast` instead.
W0402 08:47:53.589167 140466927495040 deprecation.py:339] From /usr/local/lib/python3.7/dist-packages/object_detection/inputs.py:282: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.cast` instead.
/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/backend.py:434: UserWarning: `tf.keras.backend.set_learning_phase` is deprecated and will be removed after 2020-10-11. To update it, simply pass a True/False value to the `training` argument of the `__call__` method of your layer or model.
  warnings.warn('`tf.keras.backend.set_learning_phase` is deprecated and '
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._groundtruth_lists
W0402 08:49:03.393097 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._groundtruth_lists
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor
W0402 08:49:03.393416 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._batched_prediction_tensor_names
W0402 08:49:03.393503 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._batched_prediction_tensor_names
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._box_prediction_head
W0402 08:49:03.393581 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._box_prediction_head
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._prediction_heads
W0402 08:49:03.393656 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._prediction_heads
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._sorted_head_names
W0402 08:49:03.393724 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._sorted_head_names
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._additional_projection_layers
W0402 08:49:03.393793 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._additional_projection_layers
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads
W0402 08:49:03.393880 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers
W0402 08:49:03.393947 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._box_prediction_head._box_encoder_layers
W0402 08:49:03.394014 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._box_prediction_head._box_encoder_layers
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._prediction_heads.class_predictions_with_background
W0402 08:49:03.394080 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._prediction_heads.class_predictions_with_background
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._additional_projection_layers.0
W0402 08:49:03.394153 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._additional_projection_layers.0
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._additional_projection_layers.1
W0402 08:49:03.394219 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._additional_projection_layers.1
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._additional_projection_layers.2
W0402 08:49:03.394284 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._additional_projection_layers.2
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._additional_projection_layers.3
W0402 08:49:03.394371 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._additional_projection_layers.3
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._additional_projection_layers.4
W0402 08:49:03.394442 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._additional_projection_layers.4
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings
W0402 08:49:03.394523 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background
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WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.BoxPredictionTower
W0402 08:49:03.394669 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.BoxPredictionTower
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.ClassPredictionTower
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WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._box_prediction_head._box_encoder_layers.0
W0402 08:49:03.394842 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._box_prediction_head._box_encoder_layers.0
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._prediction_heads.class_predictions_with_background._class_predictor_layers
W0402 08:49:03.394915 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._prediction_heads.class_predictions_with_background._class_predictor_layers
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0
W0402 08:49:03.394985 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1
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WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2
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WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3
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WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4
W0402 08:49:03.395258 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0
W0402 08:49:03.395323 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1
W0402 08:49:03.395390 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2
W0402 08:49:03.395456 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3
W0402 08:49:03.395523 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4
W0402 08:49:03.395605 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.BoxPredictionTower.0
W0402 08:49:03.395673 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.BoxPredictionTower.0
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.BoxPredictionTower.1
W0402 08:49:03.395735 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.BoxPredictionTower.1
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.BoxPredictionTower.2
W0402 08:49:03.395797 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.BoxPredictionTower.2
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.ClassPredictionTower.0
W0402 08:49:03.395869 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.ClassPredictionTower.0
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.ClassPredictionTower.1
W0402 08:49:03.395931 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.ClassPredictionTower.1
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.ClassPredictionTower.2
W0402 08:49:03.395992 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.ClassPredictionTower.2
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._box_prediction_head._box_encoder_layers.0.depthwise_kernel
W0402 08:49:03.396119 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._box_prediction_head._box_encoder_layers.0.depthwise_kernel
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._box_prediction_head._box_encoder_layers.0.pointwise_kernel
W0402 08:49:03.396183 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._box_prediction_head._box_encoder_layers.0.pointwise_kernel
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._box_prediction_head._box_encoder_layers.0.bias
W0402 08:49:03.396246 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._box_prediction_head._box_encoder_layers.0.bias
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._prediction_heads.class_predictions_with_background._class_predictor_layers.0
W0402 08:49:03.396308 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._prediction_heads.class_predictions_with_background._class_predictor_layers.0
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0.1
W0402 08:49:03.396371 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0.1
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0.2
W0402 08:49:03.396433 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0.2
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0.4
W0402 08:49:03.396495 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0.4
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0.5
W0402 08:49:03.396556 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0.5
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0.7
W0402 08:49:03.396625 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0.7
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0.8
W0402 08:49:03.396687 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0.8
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.1
W0402 08:49:03.396748 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.1
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.2
W0402 08:49:03.396818 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.2
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.4
W0402 08:49:03.396882 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.4
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.5
W0402 08:49:03.396960 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.5
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.7
W0402 08:49:03.397025 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.7
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.8
W0402 08:49:03.397095 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.8
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.1
W0402 08:49:03.397162 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.1
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.2
W0402 08:49:03.397228 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.2
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.4
W0402 08:49:03.397295 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.4
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.5
W0402 08:49:03.397361 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.5
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.7
W0402 08:49:03.397426 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.7
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.8
W0402 08:49:03.397492 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.8
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.1
W0402 08:49:03.397559 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.1
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.2
W0402 08:49:03.397626 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.2
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.4
W0402 08:49:03.397691 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.4
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.5
W0402 08:49:03.397757 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.5
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.7
W0402 08:49:03.427119 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.7
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.8
W0402 08:49:03.427252 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.8
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.1
W0402 08:49:03.427351 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.1
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.2
W0402 08:49:03.427443 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.2
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.4
W0402 08:49:03.427532 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.4
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.5
W0402 08:49:03.427620 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.5
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.7
W0402 08:49:03.427706 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.7
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.8
W0402 08:49:03.427790 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.8
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.1
W0402 08:49:03.427901 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.1
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.2
W0402 08:49:03.427988 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.2
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.4
W0402 08:49:03.428070 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.4
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.5
W0402 08:49:03.428171 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.5
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.7
W0402 08:49:03.428256 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.7
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.8
W0402 08:49:03.428340 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.8
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.1
W0402 08:49:03.428423 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.1
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.2
W0402 08:49:03.428505 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.2
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.4
W0402 08:49:03.428610 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.4
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.5
W0402 08:49:03.428700 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.5
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.7
W0402 08:49:03.428787 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.7
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.8
W0402 08:49:03.428891 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.8
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.1
W0402 08:49:03.428983 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.1
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.2
W0402 08:49:03.429069 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.2
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.4
W0402 08:49:03.429171 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.4
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.5
W0402 08:49:03.429260 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.5
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.7
W0402 08:49:03.429347 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.7
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.8
W0402 08:49:03.429435 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.8
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.1
W0402 08:49:03.429523 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.1
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.2
W0402 08:49:03.429618 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.2
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.4
W0402 08:49:03.429708 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.4
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.5
W0402 08:49:03.429794 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.5
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.7
W0402 08:49:03.429901 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.7
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.8
W0402 08:49:03.430008 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.8
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.1
W0402 08:49:03.430114 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.1
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.2
W0402 08:49:03.430215 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.2
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.4
W0402 08:49:03.430311 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.4
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.5
W0402 08:49:03.430407 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.5
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.7
W0402 08:49:03.430502 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.7
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.8
W0402 08:49:03.430618 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.8
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.BoxPredictionTower.0.depthwise_kernel
W0402 08:49:03.430719 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.BoxPredictionTower.0.depthwise_kernel
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.BoxPredictionTower.0.pointwise_kernel
W0402 08:49:03.430831 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.BoxPredictionTower.0.pointwise_kernel
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.BoxPredictionTower.0.bias
W0402 08:49:03.430933 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.BoxPredictionTower.0.bias
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.BoxPredictionTower.1.depthwise_kernel
W0402 08:49:03.431030 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.BoxPredictionTower.1.depthwise_kernel
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.BoxPredictionTower.1.pointwise_kernel
W0402 08:49:03.431148 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.BoxPredictionTower.1.pointwise_kernel
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.BoxPredictionTower.1.bias
W0402 08:49:03.431237 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.BoxPredictionTower.1.bias
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.BoxPredictionTower.2.depthwise_kernel
W0402 08:49:03.431324 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.BoxPredictionTower.2.depthwise_kernel
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.BoxPredictionTower.2.pointwise_kernel
W0402 08:49:03.431411 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.BoxPredictionTower.2.pointwise_kernel
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.BoxPredictionTower.2.bias
W0402 08:49:03.431500 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.BoxPredictionTower.2.bias
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.ClassPredictionTower.0.depthwise_kernel
W0402 08:49:03.431587 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.ClassPredictionTower.0.depthwise_kernel
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.ClassPredictionTower.0.pointwise_kernel
W0402 08:49:03.431680 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.ClassPredictionTower.0.pointwise_kernel
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.ClassPredictionTower.0.bias
W0402 08:49:03.431768 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.ClassPredictionTower.0.bias
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.ClassPredictionTower.1.depthwise_kernel
W0402 08:49:03.431874 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.ClassPredictionTower.1.depthwise_kernel
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.ClassPredictionTower.1.pointwise_kernel
W0402 08:49:03.431962 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.ClassPredictionTower.1.pointwise_kernel
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.ClassPredictionTower.1.bias
W0402 08:49:03.432050 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.ClassPredictionTower.1.bias
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.ClassPredictionTower.2.depthwise_kernel
W0402 08:49:03.432152 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.ClassPredictionTower.2.depthwise_kernel
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.ClassPredictionTower.2.pointwise_kernel
W0402 08:49:03.432242 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.ClassPredictionTower.2.pointwise_kernel
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.ClassPredictionTower.2.bias
W0402 08:49:03.432330 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.ClassPredictionTower.2.bias
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._prediction_heads.class_predictions_with_background._class_predictor_layers.0.depthwise_kernel
W0402 08:49:03.432444 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._prediction_heads.class_predictions_with_background._class_predictor_layers.0.depthwise_kernel
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._prediction_heads.class_predictions_with_background._class_predictor_layers.0.pointwise_kernel
W0402 08:49:03.432542 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._prediction_heads.class_predictions_with_background._class_predictor_layers.0.pointwise_kernel
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._prediction_heads.class_predictions_with_background._class_predictor_layers.0.bias
W0402 08:49:03.432634 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._prediction_heads.class_predictions_with_background._class_predictor_layers.0.bias
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0.1.axis
W0402 08:49:03.432724 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0.1.axis
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0.1.gamma
W0402 08:49:03.432825 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0.1.gamma
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0.1.beta
W0402 08:49:03.432912 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0.1.beta
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0.1.moving_mean
W0402 08:49:03.432984 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0.1.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0.1.moving_variance
W0402 08:49:03.433058 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0.1.moving_variance
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0.4.axis
W0402 08:49:03.433144 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0.4.axis
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0.4.gamma
W0402 08:49:03.433218 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0.4.gamma
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0.4.beta
W0402 08:49:03.433291 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0.4.beta
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0.4.moving_mean
W0402 08:49:03.433362 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0.4.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0.4.moving_variance
W0402 08:49:03.433436 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0.4.moving_variance
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0.7.axis
W0402 08:49:03.433514 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0.7.axis
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0.7.gamma
W0402 08:49:03.433594 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0.7.gamma
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0.7.beta
W0402 08:49:03.433675 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0.7.beta
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0.7.moving_mean
W0402 08:49:03.433755 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0.7.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0.7.moving_variance
W0402 08:49:03.433855 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.0.7.moving_variance
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.1.axis
W0402 08:49:03.433939 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.1.axis
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.1.gamma
W0402 08:49:03.434029 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.1.gamma
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.1.beta
W0402 08:49:03.434116 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.1.beta
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.1.moving_mean
W0402 08:49:03.434196 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.1.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.1.moving_variance
W0402 08:49:03.434291 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.1.moving_variance
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.4.axis
W0402 08:49:03.434372 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.4.axis
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.4.gamma
W0402 08:49:03.434455 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.4.gamma
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.4.beta
W0402 08:49:03.434537 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.4.beta
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.4.moving_mean
W0402 08:49:03.434620 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.4.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.4.moving_variance
W0402 08:49:03.434702 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.4.moving_variance
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.7.axis
W0402 08:49:03.434785 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.7.axis
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.7.gamma
W0402 08:49:03.434883 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.7.gamma
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.7.beta
W0402 08:49:03.434968 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.7.beta
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.7.moving_mean
W0402 08:49:03.435051 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.7.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.7.moving_variance
W0402 08:49:03.435145 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.7.moving_variance
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.1.axis
W0402 08:49:03.435229 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.1.axis
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.1.gamma
W0402 08:49:03.435331 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.1.gamma
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.1.beta
W0402 08:49:03.435419 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.1.beta
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.1.moving_mean
W0402 08:49:03.435517 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.1.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.1.moving_variance
W0402 08:49:03.435600 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.1.moving_variance
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.4.axis
W0402 08:49:03.435683 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.4.axis
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.4.gamma
W0402 08:49:03.435765 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.4.gamma
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.4.beta
W0402 08:49:03.435861 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.4.beta
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.4.moving_mean
W0402 08:49:03.435949 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.4.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.4.moving_variance
W0402 08:49:03.436031 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.4.moving_variance
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.7.axis
W0402 08:49:03.436125 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.7.axis
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.7.gamma
W0402 08:49:03.436233 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.7.gamma
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.7.beta
W0402 08:49:03.436321 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.7.beta
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.7.moving_mean
W0402 08:49:03.436409 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.7.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.7.moving_variance
W0402 08:49:03.436508 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.7.moving_variance
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.1.axis
W0402 08:49:03.436589 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.1.axis
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.1.gamma
W0402 08:49:03.436671 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.1.gamma
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.1.beta
W0402 08:49:03.436752 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.1.beta
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.1.moving_mean
W0402 08:49:03.436869 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.1.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.1.moving_variance
W0402 08:49:03.436964 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.1.moving_variance
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.4.axis
W0402 08:49:03.437054 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.4.axis
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.4.gamma
W0402 08:49:03.437152 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.4.gamma
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.4.beta
W0402 08:49:03.437251 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.4.beta
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.4.moving_mean
W0402 08:49:03.437332 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.4.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.4.moving_variance
W0402 08:49:03.437414 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.4.moving_variance
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.7.axis
W0402 08:49:03.437495 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.7.axis
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.7.gamma
W0402 08:49:03.437576 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.7.gamma
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.7.beta
W0402 08:49:03.437657 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.7.beta
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.7.moving_mean
W0402 08:49:03.437739 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.7.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.7.moving_variance
W0402 08:49:03.437819 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.7.moving_variance
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.1.axis
W0402 08:49:03.437921 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.1.axis
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.1.gamma
W0402 08:49:03.438948 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.1.gamma
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.1.beta
W0402 08:49:03.439055 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.1.beta
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.1.moving_mean
W0402 08:49:03.439166 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.1.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.1.moving_variance
W0402 08:49:03.439265 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.1.moving_variance
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.4.axis
W0402 08:49:03.439365 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.4.axis
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.4.gamma
W0402 08:49:03.439463 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.4.gamma
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.4.beta
W0402 08:49:03.439748 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.4.beta
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.4.moving_mean
W0402 08:49:03.439886 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.4.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.4.moving_variance
W0402 08:49:03.439987 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.4.moving_variance
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.7.axis
W0402 08:49:03.440122 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.7.axis
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.7.gamma
W0402 08:49:03.440231 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.7.gamma
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.7.beta
W0402 08:49:03.440339 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.7.beta
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.7.moving_mean
W0402 08:49:03.440445 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.7.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.7.moving_variance
W0402 08:49:03.440546 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.7.moving_variance
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.1.axis
W0402 08:49:03.440651 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.1.axis
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.1.gamma
W0402 08:49:03.440751 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.1.gamma
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.1.beta
W0402 08:49:03.440876 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.1.beta
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.1.moving_mean
W0402 08:49:03.440985 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.1.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.1.moving_variance
W0402 08:49:03.441110 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.1.moving_variance
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.4.axis
W0402 08:49:03.441210 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.4.axis
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.4.gamma
W0402 08:49:03.441301 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.4.gamma
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.4.beta
W0402 08:49:03.441397 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.4.beta
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.4.moving_mean
W0402 08:49:03.441488 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.4.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.4.moving_variance
W0402 08:49:03.441578 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.4.moving_variance
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.7.axis
W0402 08:49:03.442382 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.7.axis
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.7.gamma
W0402 08:49:03.442500 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.7.gamma
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.7.beta
W0402 08:49:03.442603 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.7.beta
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.7.moving_mean
W0402 08:49:03.442702 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.7.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.7.moving_variance
W0402 08:49:03.442800 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.7.moving_variance
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.1.axis
W0402 08:49:03.442948 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.1.axis
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.1.gamma
W0402 08:49:03.443050 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.1.gamma
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.1.beta
W0402 08:49:03.443343 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.1.beta
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.1.moving_mean
W0402 08:49:03.443588 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.1.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.1.moving_variance
W0402 08:49:03.443711 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.1.moving_variance
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.4.axis
W0402 08:49:03.444154 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.4.axis
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.4.gamma
W0402 08:49:03.444298 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.4.gamma
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.4.beta
W0402 08:49:03.444553 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.4.beta
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.4.moving_mean
W0402 08:49:03.444743 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.4.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.4.moving_variance
W0402 08:49:03.444863 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.4.moving_variance
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.7.axis
W0402 08:49:03.444960 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.7.axis
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.7.gamma
W0402 08:49:03.445049 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.7.gamma
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.7.beta
W0402 08:49:03.445151 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.7.beta
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.7.moving_mean
W0402 08:49:03.445240 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.7.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.7.moving_variance
W0402 08:49:03.445328 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.7.moving_variance
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.1.axis
W0402 08:49:03.445414 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.1.axis
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.1.gamma
W0402 08:49:03.445500 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.1.gamma
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.1.beta
W0402 08:49:03.445586 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.1.beta
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.1.moving_mean
W0402 08:49:03.445673 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.1.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.1.moving_variance
W0402 08:49:03.445757 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.1.moving_variance
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.4.axis
W0402 08:49:03.445861 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.4.axis
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.4.gamma
W0402 08:49:03.445948 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.4.gamma
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.4.beta
W0402 08:49:03.446031 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.4.beta
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.4.moving_mean
W0402 08:49:03.446125 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.4.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.4.moving_variance
W0402 08:49:03.446212 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.4.moving_variance
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.7.axis
W0402 08:49:03.446297 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.7.axis
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.7.gamma
W0402 08:49:03.446381 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.7.gamma
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.7.beta
W0402 08:49:03.446466 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.7.beta
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.7.moving_mean
W0402 08:49:03.446550 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.7.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.7.moving_variance
W0402 08:49:03.446633 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.7.moving_variance
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.1.axis
W0402 08:49:03.446717 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.1.axis
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.1.gamma
W0402 08:49:03.446801 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.1.gamma
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.1.beta
W0402 08:49:03.446903 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.1.beta
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.1.moving_mean
W0402 08:49:03.446989 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.1.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.1.moving_variance
W0402 08:49:03.447072 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.1.moving_variance
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.4.axis
W0402 08:49:03.447174 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.4.axis
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.4.gamma
W0402 08:49:03.447257 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.4.gamma
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.4.beta
W0402 08:49:03.447341 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.4.beta
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.4.moving_mean
W0402 08:49:03.447426 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.4.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.4.moving_variance
W0402 08:49:03.447510 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.4.moving_variance
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.7.axis
W0402 08:49:03.447595 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.7.axis
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.7.gamma
W0402 08:49:03.447679 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.7.gamma
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.7.beta
W0402 08:49:03.447761 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.7.beta
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.7.moving_mean
W0402 08:49:03.447861 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.7.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.7.moving_variance
W0402 08:49:03.447947 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.7.moving_variance
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.1.axis
W0402 08:49:03.448030 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.1.axis
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.1.gamma
W0402 08:49:03.448124 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.1.gamma
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.1.beta
W0402 08:49:03.448210 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.1.beta
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.1.moving_mean
W0402 08:49:03.448293 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.1.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.1.moving_variance
W0402 08:49:03.448374 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.1.moving_variance
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.4.axis
W0402 08:49:03.545065 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.4.axis
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.4.gamma
W0402 08:49:03.545648 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.4.gamma
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.4.beta
W0402 08:49:03.545780 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.4.beta
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.4.moving_mean
W0402 08:49:03.545921 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.4.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.4.moving_variance
W0402 08:49:03.546037 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.4.moving_variance
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.7.axis
W0402 08:49:03.546143 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.7.axis
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.7.gamma
W0402 08:49:03.546243 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.7.gamma
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.7.beta
W0402 08:49:03.546340 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.7.beta
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.7.moving_mean
W0402 08:49:03.546437 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.7.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.7.moving_variance
W0402 08:49:03.546536 140466927495040 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.7.moving_variance
WARNING:tensorflow:A checkpoint was restored (e.g. tf.train.Checkpoint.restore or tf.keras.Model.load_weights) but not all checkpointed values were used. See above for specific issues. Use expect_partial() on the load status object, e.g. tf.train.Checkpoint.restore(...).expect_partial(), to silence these warnings, or use assert_consumed() to make the check explicit. See https://www.tensorflow.org/guide/checkpoint#loading_mechanics for details.
W0402 08:49:03.546719 140466927495040 util.py:169] A checkpoint was restored (e.g. tf.train.Checkpoint.restore or tf.keras.Model.load_weights) but not all checkpointed values were used. See above for specific issues. Use expect_partial() on the load status object, e.g. tf.train.Checkpoint.restore(...).expect_partial(), to silence these warnings, or use assert_consumed() to make the check explicit. See https://www.tensorflow.org/guide/checkpoint#loading_mechanics for details.
WARNING:tensorflow:Gradients do not exist for variables ['top_bn/gamma:0', 'top_bn/beta:0'] when minimizing the loss.
W0402 08:49:13.786623 140466175923968 utils.py:83] Gradients do not exist for variables ['top_bn/gamma:0', 'top_bn/beta:0'] when minimizing the loss.
WARNING:tensorflow:From /usr/local/lib/python3.7/dist-packages/tensorflow/python/util/deprecation.py:605: calling map_fn_v2 (from tensorflow.python.ops.map_fn) with dtype is deprecated and will be removed in a future version.
Instructions for updating:
Use fn_output_signature instead
W0402 08:49:14.914503 140466175923968 deprecation.py:537] From /usr/local/lib/python3.7/dist-packages/tensorflow/python/util/deprecation.py:605: calling map_fn_v2 (from tensorflow.python.ops.map_fn) with dtype is deprecated and will be removed in a future version.
Instructions for updating:
Use fn_output_signature instead
WARNING:tensorflow:Gradients do not exist for variables ['top_bn/gamma:0', 'top_bn/beta:0'] when minimizing the loss.
W0402 08:49:26.405710 140466175923968 utils.py:83] Gradients do not exist for variables ['top_bn/gamma:0', 'top_bn/beta:0'] when minimizing the loss.
INFO:tensorflow:Step 100 per-step time 1.167s loss=0.523
I0402 08:51:39.814517 140466927495040 model_lib_v2.py:682] Step 100 per-step time 1.167s loss=0.523
INFO:tensorflow:Step 200 per-step time 1.210s loss=0.297
I0402 08:53:35.607576 140466927495040 model_lib_v2.py:682] Step 200 per-step time 1.210s loss=0.297
INFO:tensorflow:Step 300 per-step time 1.179s loss=0.292
I0402 08:55:31.535973 140466927495040 model_lib_v2.py:682] Step 300 per-step time 1.179s loss=0.292
INFO:tensorflow:Step 400 per-step time 1.236s loss=0.276
I0402 08:57:28.009844 140466927495040 model_lib_v2.py:682] Step 400 per-step time 1.236s loss=0.276
INFO:tensorflow:Step 500 per-step time 1.194s loss=0.323
I0402 08:59:23.361172 140466927495040 model_lib_v2.py:682] Step 500 per-step time 1.194s loss=0.323
INFO:tensorflow:Step 600 per-step time 1.210s loss=0.255
I0402 09:01:18.586128 140466927495040 model_lib_v2.py:682] Step 600 per-step time 1.210s loss=0.255
Traceback (most recent call last):
  File "models/research/object_detection/model_main_tf2.py", line 113, in <module>
    tf.compat.v1.app.run()
  File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/platform/app.py", line 40, in run
    _run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
  File "/usr/local/lib/python3.7/dist-packages/absl/app.py", line 303, in run
    _run_main(main, args)
  File "/usr/local/lib/python3.7/dist-packages/absl/app.py", line 251, in _run_main
    sys.exit(main(argv))
  File "models/research/object_detection/model_main_tf2.py", line 110, in main
    record_summaries=FLAGS.record_summaries)
  File "/usr/local/lib/python3.7/dist-packages/object_detection/model_lib_v2.py", line 667, in train_loop
    loss = _dist_train_step(train_input_iter)
  File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/eager/def_function.py", line 828, in __call__
    result = self._call(*args, **kwds)
  File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/eager/def_function.py", line 855, in _call
    return self._stateless_fn(*args, **kwds)  # pylint: disable=not-callable
  File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/eager/function.py", line 2943, in __call__
    filtered_flat_args, captured_inputs=graph_function.captured_inputs)  # pylint: disable=protected-access
  File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/eager/function.py", line 1919, in _call_flat
    ctx, args, cancellation_manager=cancellation_manager))
  File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/eager/function.py", line 560, in call
    ctx=ctx)
  File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/eager/execute.py", line 60, in quick_execute
    inputs, attrs, num_outputs)
KeyboardInterrupt

8. Evaluating of Model

In [ ]:
#Eval

checkpoint_path = 'models/research/efficientdet_d0_coco17_tpu-32/model_directory/'

PIPELINE_CONFIG_PATH='train/pipeline.config'
MODEL_DIR= "models/research/efficientdet_d0_coco17_tpu-32/model_directory/"

!python3 models/research/object_detection/model_main_tf2.py \
    --pipeline_config_path=$PIPELINE_CONFIG_PATH \
    --checkpoint_dir=$checkpoint_path \
    --model_dir=$MODEL_DIR \
    --eval_timeout=60 \
    --alsologtostderr

WARNING:tensorflow:Forced number of epochs for all eval validations to be 1.
W0402 09:01:49.229098 140708280108928 model_lib_v2.py:1063] Forced number of epochs for all eval validations to be 1.
INFO:tensorflow:Maybe overwriting sample_1_of_n_eval_examples: None
I0402 09:01:49.229313 140708280108928 config_util.py:552] Maybe overwriting sample_1_of_n_eval_examples: None
INFO:tensorflow:Maybe overwriting use_bfloat16: False
I0402 09:01:49.229402 140708280108928 config_util.py:552] Maybe overwriting use_bfloat16: False
INFO:tensorflow:Maybe overwriting eval_num_epochs: 1
I0402 09:01:49.229494 140708280108928 config_util.py:552] Maybe overwriting eval_num_epochs: 1
WARNING:tensorflow:Expected number of evaluation epochs is 1, but instead encountered `eval_on_train_input_config.num_epochs` = 0. Overwriting `num_epochs` to 1.
W0402 09:01:49.229615 140708280108928 model_lib_v2.py:1084] Expected number of evaluation epochs is 1, but instead encountered `eval_on_train_input_config.num_epochs` = 0. Overwriting `num_epochs` to 1.
I0402 09:01:49.823344 140708280108928 ssd_efficientnet_bifpn_feature_extractor.py:143] EfficientDet EfficientNet backbone version: efficientnet-b0
I0402 09:01:49.823524 140708280108928 ssd_efficientnet_bifpn_feature_extractor.py:144] EfficientDet BiFPN num filters: 64
I0402 09:01:49.823604 140708280108928 ssd_efficientnet_bifpn_feature_extractor.py:146] EfficientDet BiFPN num iterations: 3
I0402 09:01:49.830168 140708280108928 efficientnet_model.py:147] round_filter input=32 output=32
I0402 09:01:49.943746 140708280108928 efficientnet_model.py:147] round_filter input=32 output=32
I0402 09:01:49.943895 140708280108928 efficientnet_model.py:147] round_filter input=16 output=16
I0402 09:01:50.002372 140708280108928 efficientnet_model.py:147] round_filter input=16 output=16
I0402 09:01:50.002500 140708280108928 efficientnet_model.py:147] round_filter input=24 output=24
I0402 09:01:50.147621 140708280108928 efficientnet_model.py:147] round_filter input=24 output=24
I0402 09:01:50.147788 140708280108928 efficientnet_model.py:147] round_filter input=40 output=40
I0402 09:01:50.291652 140708280108928 efficientnet_model.py:147] round_filter input=40 output=40
I0402 09:01:50.291834 140708280108928 efficientnet_model.py:147] round_filter input=80 output=80
I0402 09:01:50.525421 140708280108928 efficientnet_model.py:147] round_filter input=80 output=80
I0402 09:01:50.525603 140708280108928 efficientnet_model.py:147] round_filter input=112 output=112
I0402 09:01:50.751205 140708280108928 efficientnet_model.py:147] round_filter input=112 output=112
I0402 09:01:50.751376 140708280108928 efficientnet_model.py:147] round_filter input=192 output=192
I0402 09:01:51.060912 140708280108928 efficientnet_model.py:147] round_filter input=192 output=192
I0402 09:01:51.061075 140708280108928 efficientnet_model.py:147] round_filter input=320 output=320
I0402 09:01:51.129952 140708280108928 efficientnet_model.py:147] round_filter input=1280 output=1280
I0402 09:01:51.157685 140708280108928 efficientnet_model.py:458] Building model efficientnet with params ModelConfig(width_coefficient=1.0, depth_coefficient=1.0, resolution=224, dropout_rate=0.2, blocks=(BlockConfig(input_filters=32, output_filters=16, kernel_size=3, num_repeat=1, expand_ratio=1, strides=(1, 1), se_ratio=0.25, id_skip=True, fused_conv=False, conv_type='depthwise'), BlockConfig(input_filters=16, output_filters=24, kernel_size=3, num_repeat=2, expand_ratio=6, strides=(2, 2), se_ratio=0.25, id_skip=True, fused_conv=False, conv_type='depthwise'), BlockConfig(input_filters=24, output_filters=40, kernel_size=5, num_repeat=2, expand_ratio=6, strides=(2, 2), se_ratio=0.25, id_skip=True, fused_conv=False, conv_type='depthwise'), BlockConfig(input_filters=40, output_filters=80, kernel_size=3, num_repeat=3, expand_ratio=6, strides=(2, 2), se_ratio=0.25, id_skip=True, fused_conv=False, conv_type='depthwise'), BlockConfig(input_filters=80, output_filters=112, kernel_size=5, num_repeat=3, expand_ratio=6, strides=(1, 1), se_ratio=0.25, id_skip=True, fused_conv=False, conv_type='depthwise'), BlockConfig(input_filters=112, output_filters=192, kernel_size=5, num_repeat=4, expand_ratio=6, strides=(2, 2), se_ratio=0.25, id_skip=True, fused_conv=False, conv_type='depthwise'), BlockConfig(input_filters=192, output_filters=320, kernel_size=3, num_repeat=1, expand_ratio=6, strides=(1, 1), se_ratio=0.25, id_skip=True, fused_conv=False, conv_type='depthwise')), stem_base_filters=32, top_base_filters=1280, activation='simple_swish', batch_norm='default', bn_momentum=0.99, bn_epsilon=0.001, weight_decay=5e-06, drop_connect_rate=0.2, depth_divisor=8, min_depth=None, use_se=True, input_channels=3, num_classes=1000, model_name='efficientnet', rescale_input=False, data_format='channels_last', dtype='float32')
INFO:tensorflow:Reading unweighted datasets: ['train/debris_val.record-?????-of-00010']
I0402 09:01:51.207496 140708280108928 dataset_builder.py:163] Reading unweighted datasets: ['train/debris_val.record-?????-of-00010']
INFO:tensorflow:Reading record datasets for input file: ['train/debris_val.record-?????-of-00010']
I0402 09:01:51.208466 140708280108928 dataset_builder.py:80] Reading record datasets for input file: ['train/debris_val.record-?????-of-00010']
INFO:tensorflow:Number of filenames to read: 10
I0402 09:01:51.208613 140708280108928 dataset_builder.py:81] Number of filenames to read: 10
WARNING:tensorflow:num_readers has been reduced to 10 to match input file shards.
W0402 09:01:51.208708 140708280108928 dataset_builder.py:88] num_readers has been reduced to 10 to match input file shards.
WARNING:tensorflow:`shuffle` is false, but the input data stream is still slightly shuffled since `num_readers` > 1.
W0402 09:01:51.209260 140708280108928 dataset_builder.py:94] `shuffle` is false, but the input data stream is still slightly shuffled since `num_readers` > 1.
WARNING:tensorflow:From /usr/local/lib/python3.7/dist-packages/object_detection/builders/dataset_builder.py:105: parallel_interleave (from tensorflow.python.data.experimental.ops.interleave_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.data.Dataset.interleave(map_func, cycle_length, block_length, num_parallel_calls=tf.data.AUTOTUNE)` instead. If sloppy execution is desired, use `tf.data.Options.experimental_deterministic`.
W0402 09:01:51.209705 140708280108928 deprecation.py:339] From /usr/local/lib/python3.7/dist-packages/object_detection/builders/dataset_builder.py:105: parallel_interleave (from tensorflow.python.data.experimental.ops.interleave_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.data.Dataset.interleave(map_func, cycle_length, block_length, num_parallel_calls=tf.data.AUTOTUNE)` instead. If sloppy execution is desired, use `tf.data.Options.experimental_deterministic`.
WARNING:tensorflow:From /usr/local/lib/python3.7/dist-packages/object_detection/builders/dataset_builder.py:237: DatasetV1.map_with_legacy_function (from tensorflow.python.data.ops.dataset_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.data.Dataset.map()
W0402 09:01:51.225931 140708280108928 deprecation.py:339] From /usr/local/lib/python3.7/dist-packages/object_detection/builders/dataset_builder.py:237: DatasetV1.map_with_legacy_function (from tensorflow.python.data.ops.dataset_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.data.Dataset.map()
WARNING:tensorflow:From /usr/local/lib/python3.7/dist-packages/tensorflow/python/util/dispatch.py:201: sparse_to_dense (from tensorflow.python.ops.sparse_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Create a `tf.sparse.SparseTensor` and use `tf.sparse.to_dense` instead.
W0402 09:01:54.854086 140708280108928 deprecation.py:339] From /usr/local/lib/python3.7/dist-packages/tensorflow/python/util/dispatch.py:201: sparse_to_dense (from tensorflow.python.ops.sparse_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Create a `tf.sparse.SparseTensor` and use `tf.sparse.to_dense` instead.
WARNING:tensorflow:From /usr/local/lib/python3.7/dist-packages/object_detection/inputs.py:282: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.cast` instead.
W0402 09:01:56.257699 140708280108928 deprecation.py:339] From /usr/local/lib/python3.7/dist-packages/object_detection/inputs.py:282: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.cast` instead.
INFO:tensorflow:Waiting for new checkpoint at models/research/efficientdet_d0_coco17_tpu-32/model_directory/
I0402 09:01:58.905111 140708280108928 checkpoint_utils.py:139] Waiting for new checkpoint at models/research/efficientdet_d0_coco17_tpu-32/model_directory/
INFO:tensorflow:Found new checkpoint at models/research/efficientdet_d0_coco17_tpu-32/model_directory/ckpt-2
I0402 09:01:58.906014 140708280108928 checkpoint_utils.py:148] Found new checkpoint at models/research/efficientdet_d0_coco17_tpu-32/model_directory/ckpt-2
/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/backend.py:434: UserWarning: `tf.keras.backend.set_learning_phase` is deprecated and will be removed after 2020-10-11. To update it, simply pass a True/False value to the `training` argument of the `__call__` method of your layer or model.
  warnings.warn('`tf.keras.backend.set_learning_phase` is deprecated and '
WARNING:tensorflow:From /usr/local/lib/python3.7/dist-packages/object_detection/eval_util.py:929: to_int64 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.cast` instead.
W0402 09:02:29.338315 140708280108928 deprecation.py:339] From /usr/local/lib/python3.7/dist-packages/object_detection/eval_util.py:929: to_int64 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.cast` instead.
INFO:tensorflow:Finished eval step 0
I0402 09:02:29.345684 140708280108928 model_lib_v2.py:939] Finished eval step 0
WARNING:tensorflow:From /usr/local/lib/python3.7/dist-packages/object_detection/utils/visualization_utils.py:617: py_func (from tensorflow.python.ops.script_ops) is deprecated and will be removed in a future version.
Instructions for updating:
tf.py_func is deprecated in TF V2. Instead, there are two
    options available in V2.
    - tf.py_function takes a python function which manipulates tf eager
    tensors instead of numpy arrays. It's easy to convert a tf eager tensor to
    an ndarray (just call tensor.numpy()) but having access to eager tensors
    means `tf.py_function`s can use accelerators such as GPUs as well as
    being differentiable using a gradient tape.
    - tf.numpy_function maintains the semantics of the deprecated tf.py_func
    (it is not differentiable, and manipulates numpy arrays). It drops the
    stateful argument making all functions stateful.
    
W0402 09:02:29.480196 140708280108928 deprecation.py:339] From /usr/local/lib/python3.7/dist-packages/object_detection/utils/visualization_utils.py:617: py_func (from tensorflow.python.ops.script_ops) is deprecated and will be removed in a future version.
Instructions for updating:
tf.py_func is deprecated in TF V2. Instead, there are two
    options available in V2.
    - tf.py_function takes a python function which manipulates tf eager
    tensors instead of numpy arrays. It's easy to convert a tf eager tensor to
    an ndarray (just call tensor.numpy()) but having access to eager tensors
    means `tf.py_function`s can use accelerators such as GPUs as well as
    being differentiable using a gradient tape.
    - tf.numpy_function maintains the semantics of the deprecated tf.py_func
    (it is not differentiable, and manipulates numpy arrays). It drops the
    stateful argument making all functions stateful.
    
INFO:tensorflow:Finished eval step 100
I0402 09:02:37.054156 140708280108928 model_lib_v2.py:939] Finished eval step 100
INFO:tensorflow:Finished eval step 200
I0402 09:02:43.106769 140708280108928 model_lib_v2.py:939] Finished eval step 200
INFO:tensorflow:Finished eval step 300
I0402 09:02:49.192806 140708280108928 model_lib_v2.py:939] Finished eval step 300
INFO:tensorflow:Finished eval step 400
I0402 09:02:55.359304 140708280108928 model_lib_v2.py:939] Finished eval step 400
INFO:tensorflow:Finished eval step 500
I0402 09:03:01.378958 140708280108928 model_lib_v2.py:939] Finished eval step 500
INFO:tensorflow:Finished eval step 600
I0402 09:03:07.592200 140708280108928 model_lib_v2.py:939] Finished eval step 600
INFO:tensorflow:Finished eval step 700
I0402 09:03:13.619208 140708280108928 model_lib_v2.py:939] Finished eval step 700
INFO:tensorflow:Finished eval step 800
I0402 09:03:19.630362 140708280108928 model_lib_v2.py:939] Finished eval step 800
INFO:tensorflow:Finished eval step 900
I0402 09:03:25.742020 140708280108928 model_lib_v2.py:939] Finished eval step 900
INFO:tensorflow:Finished eval step 1000
I0402 09:03:31.700781 140708280108928 model_lib_v2.py:939] Finished eval step 1000
INFO:tensorflow:Finished eval step 1100
I0402 09:03:37.803380 140708280108928 model_lib_v2.py:939] Finished eval step 1100
INFO:tensorflow:Finished eval step 1200
I0402 09:03:43.744472 140708280108928 model_lib_v2.py:939] Finished eval step 1200
INFO:tensorflow:Finished eval step 1300
I0402 09:03:49.996796 140708280108928 model_lib_v2.py:939] Finished eval step 1300
INFO:tensorflow:Finished eval step 1400
I0402 09:03:56.026463 140708280108928 model_lib_v2.py:939] Finished eval step 1400
INFO:tensorflow:Finished eval step 1500
I0402 09:04:02.155790 140708280108928 model_lib_v2.py:939] Finished eval step 1500
INFO:tensorflow:Finished eval step 1600
I0402 09:04:08.139452 140708280108928 model_lib_v2.py:939] Finished eval step 1600
INFO:tensorflow:Finished eval step 1700
I0402 09:04:14.275775 140708280108928 model_lib_v2.py:939] Finished eval step 1700
INFO:tensorflow:Finished eval step 1800
I0402 09:04:20.290657 140708280108928 model_lib_v2.py:939] Finished eval step 1800
INFO:tensorflow:Finished eval step 1900
I0402 09:04:26.319111 140708280108928 model_lib_v2.py:939] Finished eval step 1900
INFO:tensorflow:Performing evaluation on 2000 images.
I0402 09:04:32.047397 140708280108928 coco_evaluation.py:293] Performing evaluation on 2000 images.
creating index...
index created!
INFO:tensorflow:Loading and preparing annotation results...
I0402 09:04:32.056047 140708280108928 coco_tools.py:116] Loading and preparing annotation results...
INFO:tensorflow:DONE (t=0.09s)
I0402 09:04:32.151033 140708280108928 coco_tools.py:138] DONE (t=0.09s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=23.09s).
Accumulating evaluation results...
DONE (t=1.49s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.255
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.775
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.060
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.236
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.354
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = -1.000
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.106
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.372
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.431
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.427
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.455
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = -1.000
INFO:tensorflow:Eval metrics at step 600
I0402 09:04:56.902361 140708280108928 model_lib_v2.py:988] Eval metrics at step 600
INFO:tensorflow:	+ DetectionBoxes_Precision/mAP: 0.255488
I0402 09:04:56.907756 140708280108928 model_lib_v2.py:991] 	+ DetectionBoxes_Precision/mAP: 0.255488
INFO:tensorflow:	+ DetectionBoxes_Precision/mAP@.50IOU: 0.774743
I0402 09:04:56.909229 140708280108928 model_lib_v2.py:991] 	+ DetectionBoxes_Precision/mAP@.50IOU: 0.774743
INFO:tensorflow:	+ DetectionBoxes_Precision/mAP@.75IOU: 0.060044
I0402 09:04:56.910538 140708280108928 model_lib_v2.py:991] 	+ DetectionBoxes_Precision/mAP@.75IOU: 0.060044
INFO:tensorflow:	+ DetectionBoxes_Precision/mAP (small): 0.236259
I0402 09:04:56.911823 140708280108928 model_lib_v2.py:991] 	+ DetectionBoxes_Precision/mAP (small): 0.236259
INFO:tensorflow:	+ DetectionBoxes_Precision/mAP (medium): 0.353818
I0402 09:04:56.913023 140708280108928 model_lib_v2.py:991] 	+ DetectionBoxes_Precision/mAP (medium): 0.353818
INFO:tensorflow:	+ DetectionBoxes_Precision/mAP (large): -1.000000
I0402 09:04:56.914199 140708280108928 model_lib_v2.py:991] 	+ DetectionBoxes_Precision/mAP (large): -1.000000
INFO:tensorflow:	+ DetectionBoxes_Recall/AR@1: 0.106406
I0402 09:04:56.915372 140708280108928 model_lib_v2.py:991] 	+ DetectionBoxes_Recall/AR@1: 0.106406
INFO:tensorflow:	+ DetectionBoxes_Recall/AR@10: 0.371677
I0402 09:04:56.916642 140708280108928 model_lib_v2.py:991] 	+ DetectionBoxes_Recall/AR@10: 0.371677
INFO:tensorflow:	+ DetectionBoxes_Recall/AR@100: 0.431233
I0402 09:04:56.917954 140708280108928 model_lib_v2.py:991] 	+ DetectionBoxes_Recall/AR@100: 0.431233
INFO:tensorflow:	+ DetectionBoxes_Recall/AR@100 (small): 0.427079
I0402 09:04:56.919171 140708280108928 model_lib_v2.py:991] 	+ DetectionBoxes_Recall/AR@100 (small): 0.427079
INFO:tensorflow:	+ DetectionBoxes_Recall/AR@100 (medium): 0.454660
I0402 09:04:56.920328 140708280108928 model_lib_v2.py:991] 	+ DetectionBoxes_Recall/AR@100 (medium): 0.454660
INFO:tensorflow:	+ DetectionBoxes_Recall/AR@100 (large): -1.000000
I0402 09:04:56.921366 140708280108928 model_lib_v2.py:991] 	+ DetectionBoxes_Recall/AR@100 (large): -1.000000
INFO:tensorflow:	+ Loss/localization_loss: 0.011985
I0402 09:04:56.922285 140708280108928 model_lib_v2.py:991] 	+ Loss/localization_loss: 0.011985
INFO:tensorflow:	+ Loss/classification_loss: 0.359076
I0402 09:04:56.923230 140708280108928 model_lib_v2.py:991] 	+ Loss/classification_loss: 0.359076
INFO:tensorflow:	+ Loss/regularization_loss: 0.028364
I0402 09:04:56.924168 140708280108928 model_lib_v2.py:991] 	+ Loss/regularization_loss: 0.028364
INFO:tensorflow:	+ Loss/total_loss: 0.399424
I0402 09:04:56.925083 140708280108928 model_lib_v2.py:991] 	+ Loss/total_loss: 0.399424
INFO:tensorflow:Waiting for new checkpoint at models/research/efficientdet_d0_coco17_tpu-32/model_directory/
I0402 09:06:58.986937 140708280108928 checkpoint_utils.py:139] Waiting for new checkpoint at models/research/efficientdet_d0_coco17_tpu-32/model_directory/
INFO:tensorflow:Timed-out waiting for a checkpoint.
I0402 09:07:58.089803 140708280108928 checkpoint_utils.py:202] Timed-out waiting for a checkpoint.

9. Exporting the model

In [ ]:
!python models/research/object_detection/exporter_main_v2.py \
       --input_type=image_tensor \
       --pipeline_config_path=train/pipeline.config \
       --trained_checkpoint_dir=models/research/efficientdet_d0_coco17_tpu-32/model_directory/ \
       --output_directory=models/research/efficientdet_d0_coco17_tpu-32/exported_graphs

10. Inference on Test Data

In [43]:
import numpy as np
import os
import six.moves.urllib as urllib
import sys
import tarfile
import tensorflow as tf
import zipfile

from distutils.version import StrictVersion
from collections import defaultdict
from io import StringIO
from matplotlib import pyplot as plt
from PIL import Image

from object_detection.utils import ops as utils_ops

if StrictVersion(tf.__version__) < StrictVersion('1.12.0'):
    raise ImportError('Please upgrade your TensorFlow installation to v1.12.*.')


# This is needed to display the images.
%matplotlib inline

from object_detection.utils import label_map_util
from object_detection.utils import visualization_utils as vis_util
In [45]:
%cd /content/models/research/

/content/models/research
In [46]:
PATH_TO_LABELS = '../../train/label_map.pbtxt'

category_index = label_map_util.create_category_index_from_labelmap(PATH_TO_LABELS, use_display_name=True)
category_index
Out[46]:
{1: {'id': 1, 'name': 'debris'}}
In [ ]:
model = tf.saved_model.load(str("efficientdet_d0_coco17_tpu-32/exported_graphs/saved_model"))
In [48]:
def run_inference_for_single_image(model, image):
    image = np.asarray(image)
    # The input needs to be a tensor, convert it using `tf.convert_to_tensor`.
    input_tensor = tf.convert_to_tensor(image)
    # The model expects a batch of images, so add an axis with `tf.newaxis`.
    input_tensor = input_tensor[tf.newaxis,...]
    
    # Run inference
    model_fn = model.signatures['serving_default']
    output_dict = model_fn(input_tensor)

#    print(output_dict['detection_classes'][0].numpy())

    # All outputs are batches tensors.
    # Convert to numpy arrays, and take index [0] to remove the batch dimension.
    # We're only interested in the first num_detections.
    num_detections = int(output_dict.pop('num_detections'))
    output_dict = {key:value[0, :num_detections].numpy() 
                 for key,value in output_dict.items()}
    output_dict['num_detections'] = num_detections
  
    # detection_classes should be ints.
    output_dict['detection_classes'] = output_dict['detection_classes'].astype(np.int64)

    return output_dict
    
def show_inference(model, image_path):
    # the array based representation of the image will be used later in order to prepare the
    # result image with boxes and labels on it.
    image_np = np.array(Image.open(image_path))
    # Actual detection.
    output_dict = run_inference_for_single_image(model, image_np)

    return output_dict
In [50]:
from tqdm import tqdm
import pandas as pd
import cv2

data_path  = "../../data"

test_imgs_paths = os.listdir(os.path.join(data_path, "test"))

predictions = {"ImageID":[], "bboxes":[]}

for test_img_path in tqdm(test_imgs_paths):
    
    img = cv2.imread(os.path.join(data_path, "test", test_img_path))
    h, w, _ = img.shape
  
    output_dict = show_inference(model,os.path.join(data_path, "test", test_img_path))
    
    res = [idx for idx, val in enumerate(output_dict['detection_scores']) if val >=0.5]
    
    bbox_result = [list(output_dict['detection_boxes'][i]) for i in res]
    score_result = [output_dict['detection_scores'][i] for i in res]
    
    bbox_res = []
    # 0 1 2 3
    #[ymin, xmin, ymax, xmax]
    for n, bbox in enumerate(bbox_result):
        box = [bbox[1]*512,bbox[3]*512,bbox[0]*512,bbox[2]*512]
        box.append(score_result[n])
        bbox_res.append(box)
        
    image_id = test_img_path.split('.')[0]

    predictions['ImageID'].append(image_id)
    predictions['bboxes'].append(bbox_res)

100%|██████████| 10/10 [00:05<00:00,  1.92it/s]
In [ ]:
submission = pd.DataFrame(predictions)
submission.head()
In [52]:
submission.to_csv("submission.csv", index=False)
In [ ]:
#!aicrowd submission create -c debris-detection -f submission.csv
In [ ]:

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