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s-abramov

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Challenges Entered

Understand semantic segmentation and monocular depth estimation from downward-facing drone images

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A benchmark for image-based food recognition

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Airborne Object Tracking Challenge

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failed 153695
failed 153694
failed 153693

Estimate depth in aerial images from monocular downward-facing drone

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Airborne Object Tracking Challenge

Evaluate predictions: Scoring failed

Over 2 years ago

Hi, @shivam.
Thank you very much!
I’ve replied (and answered additional questions:)) in the issue page.

Evaluate predictions: Scoring failed

Over 2 years ago

Hi,
Got an error in evaluate predictions stage.
All classes are converted to json serializable
How can I troubleshoot this issue?

CUDA OOM in generate predictions stage

Over 2 years ago

Got CUDA OOM in generate prediction stage:
RuntimeError: CUDA out of memory. Tried to allocate 146.00 MiB (GPU 0; 15.78 GiB total capacity; 7.99 GiB already allocated; 146.75 MiB free; 14.43 GiB reserved in total by PyTorch)
but my model fits 3500G of video ram on my desktop and it obviously must fit V100 ram
Could you help with this issue, please?

s-abramov has not provided any information yet.