Comments (1)
According to old tests I did, it should require 1 to 2 hours per epoch for training on COCO (speed depends also on your storage speed). Please note that official weights are the result of training for 210 epochs.
I suggest you to train the model for a couple of epochs and then estimate the time-for-epoch on your machine.
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Related Issues (20)
- TypeError: __init__() takes 2 positional arguments but 3 were given HOT 2
- 有剪枝,蒸馏方面的计划吗? HOT 1
- RuntimeError: Error(s) in loading state_dict for HRNet: HOT 1
- Evaluate custom dataset HOT 4
- Get inference time HOT 1
- Use YOLOv5 as a detector HOT 2
- Turn off some keypoints
- Data augmentations of training
- How to solce Error: ffprobe error (see stderr output for detail) HOT 2
- Integrating with poseflow HOT 1
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- How to Train with 1 Class??
- [Request] Making a python file to get AP/AR for each class? HOT 1
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- Using a different detector HOT 1
- how to output the result in coco json file and retrain a new model HOT 2
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- Broken model file pose_hrnet_w48_384x288.pth HOT 1
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