Comments (1)
stefanopini
commented on June 8, 2024
Hi @APeiZou ,
Assuming your question is "Any plans for pruning and distillation?", I'm afraid no, I don't have plans to work on a pruned/distilled model in the future.
However, the repository contains a train script that could be adapted to train a distilled model from an existing one.
Alternatively, I can recommend using the smaller available version of YOLOv5 and the smaller version of HRNet (HRNet-32) to speed up the inference.
Please feel free to re-open if you have any other questions or you would like to contribute to the project
from simple-hrnet.
Related Issues (20)
- TypeError: __init__() takes 2 positional arguments but 3 were given HOT 2
- RuntimeError: Error(s) in loading state_dict for HRNet: HOT 1
- Evaluate custom dataset HOT 4
- ValueError: not enough values to unpack (expected 7, got 6) HOT 10
- Running it on GPU on google collab ? HOT 12
- Displaying joint keypoints on video input HOT 4
- AP at OKS 0.5, 0.75, medium, large all are always -1.000 HOT 1
- Light Hrnet testing ? HOT 1
- Integrating with poseflow HOT 1
- RuntimeError: The size of tensor a (645) must match the size of tensor b (646) at non-singleton dimension 2 HOT 3
- FileNotFoundError: [WinError 2] The system cannot find the specified file HOT 7
- How to Train with 1 Class??
- [Request] Making a python file to get AP/AR for each class? HOT 1
- ImportError: cannot import name 'FFProbe' HOT 3
- Using a different detector HOT 1
- how to output the result in coco json file and retrain a new model HOT 2
- PermissionError: [Errno 13] Permission denied: / FileNotFoundError: [WinError 2] HOT 1
- Broken model file pose_hrnet_w48_384x288.pth HOT 1
- ffmpeg._run.Error: ffprobe error (see stderr output for detail) HOT 3
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