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Requirements
Python>=3.7.0 with all requirements.txt installed including PyTorch>=1.7. To get started:
git clone https://github.com/ultralytics/yolov5 # clone
cd yolov5
pip install -r requirements.txt # installEnvironments
YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):
- Google Colab and Kaggle notebooks with free GPU:
- Google Cloud Deep Learning VM. See GCP Quickstart Guide
- Amazon Deep Learning AMI. See AWS Quickstart Guide
- Docker Image. See Docker Quickstart Guide
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glenn-jocher
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Question
I add the deformable convolution network in yolov5. At the end of the training, it shows as follows:
Optimizer stripped from runs/train/modified_yolov5/weights/last.pt, 98.0MB Optimizer stripped from runs/train/modified_yolov5/weights/best.pt, 98.0MB
Validating runs/train/modified_yolov5/weights/best.pt... Fusing layers... Traceback (most recent call last): File "train.py", line 630, in
main(opt)
File "train.py", line 527, in main
train(opt.hyp, opt, device, callbacks)
File "train.py", line 425, in train
model=attempt_load(f, device).half(),
File "/home/ models/experimental.py", line 98, in attempt_load
model.append(ckpt['ema' if ckpt.get('ema') else 'model'].float().fuse().eval()) # FP32 model
File "/home/models/yolo.py", line 351, in fuse
m.conv = fuse_conv_and_bn(m.conv, m.bn) # update conv
File "/home/ /utils/torch_utils.py", line 200, in fuse_conv_and_bn
fusedconv = nn.Conv2d(conv.in_channels,
File "/home/yolov5/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1177, in getattr
raise AttributeError("'{}' object has no attribute '{}'".format(
AttributeError: 'DeformConv2d' object has no attribute 'in_channels'
Additional
It could train for all 300 epochs. But at the end of the training, it raises issues.