Comments (4)
Hi,
That's a nice idea!
I do believe it could improve the model performance, but I'm not currently planning to re-train the network using the yolo detection boxes.
However, I'm going to add the training code to this repository by the end of July (hopefully).
from simple-hrnet.
Great!
The training code will be really helpful. Looking forward to it.
from simple-hrnet.
Hi @shreyasrajesh ,
Training code is now available. I hope it helps.
from simple-hrnet.
Thank you very much for your timely update!
from simple-hrnet.
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
- AP an loss are always 0
- 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
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