LEARN HOW TO SUBMIT | NO SSH | ON COLAB | DIRECTLY!!!
Hey everyone,
Since a lot of people seem to be finding it difficult to submit, we’ve converted the baseline code using mmdetection into a colab notebook which allows you to submit directly via colab. If you are not using mmdetection you can still check this notebook out and have a look at the submission steps. If you have any issues or need any help do feel free to post here.
MMdetection Starter(DIRECT SUBMIT!)
Regards
AICrowd Team
Thanks for this, particularly the try/except block for the training script was useful.
I have one question about the baseline MMDetection submission (food-round2 repo by @nikhil_rayaprolu): if it’s not a secret, what settings were used to generate the baseline model? Is it correct to assume that it was trained with the provided training hyperparameters (type='SGD', lr=0.0025, momentum=0.9, weight_decay=0.0001), the default learning policy, no pre-training (load_from = None & resume_from = None) and then epoch 20 was taken for the final model?
The reason I’m asking is that I have been using similar settings to train the same architecture (except with pre-training) and I have gotten considerably worse results in 30 epochs with the evaluator, so I would like to troubleshoot if my settings aren’t optimal or there’s something else wrong.
Hey,
I think the baseline(food-round2) was created using this config file. You can compare this with the config you are using right now and try find out where the issue might be.
Awesome - that was my assumption as well, but I figured it was also a possibility that the actual config file wouldn’t be shared. Thanks for the quick answer - much appreciated!