Request for logs for the failed submission

Dear organizers,

I have tried several submissions for prelim category 2, but none of them worked. Could you send me the log for the submitted algorithm? The information of the submission is listed below.

1. Algorithm Name: 20220901
2. Category Name: Prelim Challenge Category 2
3. ID of the submission: 3c3bde48-c854-40cb-8b20-a62110feeae0
4. Team name: HVRL
5. username: ryo-hachiuma

Thank you in advance!

Ryo

Hello @ryo_hachiuma,

I checked your previous submissions, and the error message continues to be Time limit exceeded, with the log below. It seems like your model is performing the predictions accordingly. We recommend you to follow the topic "Common issues for participants": Out of memory and time limit errors are related to resource intensive processes. Please measure resource utilization locally and define container limits correctly when trying on the platform. Alternatively, limit resources to the container when testing locally to more closely replicate the Grand Challenge environment. It may also help to implement batching to read frames from video, instead of reading all frames from the video into the RAM at once (some test set video are minutes long).

Please let us know if additional help is needed.

Best, The Organizers

Stdout 2022-09-01T12:42:38.263000+00:00 Load all models.... 2022-09-01T12:42:38.263000+00:00 load model name tf_efficientnetv2_m_in21ft1k 2022-09-01T12:42:38.263000+00:00 Load Done. 2022-09-01T12:42:38.263000+00:00 File found: /input/endoscopic-robotic-surgery-video.mp4 2022-09-01T12:42:38.263000+00:00 Video file to be loaded: /input/endoscopic-robotic-surgery-video.mp4 2022-09-01T12:42:38.263000+00:00 prediction to frame ID: 0000... 2022-09-01T12:42:38.263000+00:00 prediction to frame ID: 0001... 2022-09-01T12:42:38.263000+00:00 prediction to frame ID: 0002... 2022-09-01T12:42:38.263000+00:00 prediction to frame ID: 0003... 2022-09-01T12:42:38.263000+00:00 prediction to frame ID: 0004... 2022-09-01T12:42:38.263000+00:00 prediction to frame ID: 0005... 2022-09-01T12:42:38.263000+00:00 prediction to frame ID: 0006... 2022-09-01T12:42:38.263000+00:00 prediction to frame ID: 0007... 2022-09-01T12:42:38.263000+00:00 prediction to frame ID: 0008... 2022-09-01T12:42:38.263000+00:00 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Dear rgarcianes-itusurg,

Thank you for providing the log information! I have one question. According to the log, it only takes abound 1 second (2022-09-01T12:42:38.263000+00:00 prediction to frame ID: 0000 to 2022-09-01T12:42:39.272000+00:00 prediction to frame ID: 0248) to process 248 frames.

Does the prediction time should be much shorter than 1 sec? Or it means that it is out of memory.

Best regards,

Ryo

Hello Ryo,

I had a similar problem with my submission, also. I changed my process.py python script to make it work with CUDA GPU rather than just the CPU, and it made the code much faster. I don't know if you have done that already, but just a suggestion. Good luck!

Regards

Dear sravigopal3,

Thank you for your information! I already use GPUs for the computation instead of CPU... I'm not sure only 1sec for processing 240 frames is out of time....

I appreciate your advice!

Best regards,

Ryo