Need

[wumy27]

File "", line 1, in runfile('C:/Users/Lenovo/Desktop/yolov3-improvement/train.py', wdir='C:/Users/Lenovo/Desktop/yolov3-improvement')

File "E:\Users\Lenovo\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 668, in runfile execfile(filename, namespace)

File "E:\Users\Lenovo\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 108, in execfile exec(compile(f.read(), filename, 'exec'), namespace)

File "C:/Users/Lenovo/Desktop/yolov3-improvement/train.py", line 345, in accumulate=opt.accumulate)

File "C:/Users/Lenovo/Desktop/yolov3-improvement/train.py", line 104, in train cutoff = load_darknet_weights(model, weights + 'darknet53.conv.74')

File "C:\Users\Lenovo\Desktop\yolov3-improvement\models.py", line 309, in load_darknet_weights conv_w = torch.from_numpy(weights[ptr:ptr + num_w]).view_as(conv_layer.weight)

RuntimeError: shape '[512, 256, 3, 3]' is invalid for input of size 537934

[wumy27]

Need help. Thanks.

[glenn-jocher]

Hello, thank you for your interest in our work! This is an automated response. Please note that most technical problems are due to:

• Your changes to the default repository. If your issue is not reproducible in a fresh git clone version of this repository we can not debug it. Before going further run this code and ensure your issue persists:

  sudo rm -rf yolov3  # remove exising repo
  git clone https://github.com/ultralytics/yolov3 && cd yolov3 # git clone latest
  python3 detect.py  # verify detection
  python3 train.py  # verify training (a few batches only)
  # CODE TO REPRODUCE YOUR ISSUE HERE

• Your custom data. If your issue is not reproducible with COCO data we can not debug it. Visit our Custom Training Tutorial for exact details on how to format your custom data. Examine train_batch0.jpg and test_batch0.jpg for a sanity check of training and testing data.
• Your environment. If your issue is not reproducible in a GCP Quickstart Guide VM we can not debug it. Ensure you meet the requirements specified in the README: Unix, MacOS, or Windows with Python >= 3.7, Pytorch >= 1.1, etc. You can also use our Google Colab Notebook to test your code in working environment.

If none of these apply to you, we suggest you close this issue and raise a new one using the Bug Report template, providing screenshots and minimum viable code to reproduce your issue. Thank you!

[wumy27]

what does it mean?

[glenn-jocher]

@wumy27 this error typically occurs when there is a mismatch between the shape of the input and the expected size within the code. This can happen due to changes made to the default repository or specific customizations involving the data and environment.

To troubleshoot, consider the following tips:

• Ensure the issue is reproducible in a fresh git clone version of the repository to debug effectively.
• Verify whether the problem persists with COCO data to rule out issues with custom data.
• Check if the error is reproducible in a GCP Quickstart Guide VM to ascertain the environment's impact.

If none of these apply to your situation, feel free to close this issue and submit a new one using the Bug Report template, along with relevant screenshots and minimum viable code to replicate the issue. Thank you for your understanding!