Number of Classes

[mathur01]

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Question

When i am running
model = torch.hub.load('ultralytics/yolov5', 'yolov5s', classes=10)

Getting this error

Traceback (most recent call last):
  File "c:/Users/nirbhay.mathur/Desktop/Yolov5Test/python/HMtest.py", line 18, in <module>
    results= model(im1)
  File "C:\Users\nirbhay.mathur\Anaconda3\envs\YOLOV5\lib\site-packages\torch\nn\modules\module.py", line 1190, in _call_impl
    return forward_call(*input, **kwargs)
  File "C:\Users\nirbhay.mathur/.cache\torch\hub\ultralytics_yolov5_master\models\yolo.py", line 209, in forward
    return self._forward_once(x, profile, visualize)  # single-scale inference, train
  File "C:\Users\nirbhay.mathur/.cache\torch\hub\ultralytics_yolov5_master\models\yolo.py", line 121, in _forward_once
    x = m(x)  # run
  File "C:\Users\nirbhay.mathur\Anaconda3\envs\YOLOV5\lib\site-packages\torch\nn\modules\module.py", line 1190, in _call_impl
    return forward_call(*input, **kwargs)
  File "C:\Users\nirbhay.mathur/.cache\torch\hub\ultralytics_yolov5_master\models\common.py", line 57, in forward
    return self.act(self.bn(self.conv(x)))
  File "C:\Users\nirbhay.mathur\Anaconda3\envs\YOLOV5\lib\site-packages\torch\nn\modules\module.py", line 1190, in _call_impl
    return forward_call(*input, **kwargs)
  File "C:\Users\nirbhay.mathur\Anaconda3\envs\YOLOV5\lib\site-packages\torch\nn\modules\conv.py", line 463, in forward
    return self._conv_forward(input, self.weight, self.bias)
  File "C:\Users\nirbhay.mathur\Anaconda3\envs\YOLOV5\lib\site-packages\torch\nn\modules\conv.py", line 459, in _conv_forward
    return F.conv2d(input, weight, bias, self.stride,
TypeError: conv2d() received an invalid combination of arguments - got (JpegImageFile, Parameter, NoneType, tuple, tuple, tuple, int), but expected one of:
 * (Tensor input, Tensor weight, Tensor bias, tuple of ints stride, tuple of ints padding, tuple of ints dilation, int groups)
      didn't match because some of the arguments have invalid types: (JpegImageFile, Parameter, NoneType, tuple, tuple, tuple, int)
 * (Tensor input, Tensor weight, Tensor bias, tuple of ints stride, str padding, tuple of ints dilation, int groups)
      didn't match because some of the arguments have invalid types: (JpegImageFile, Parameter, NoneType, tuple, tuple, tuple, int) 

Main idea is to use only 1 class instead of all 80 classes. I need only one class should be predicted.

Additional

No response

[github-actions]

👋 Hello @mathur01, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.

If this is a 🐛 Bug Report, please provide screenshots and minimum viable code to reproduce your issue, otherwise we can not help you.

If this is a custom training ❓ Question, please provide as much information as possible, including dataset images, training logs, screenshots, and a public link to online W&B logging if available.

For business inquiries or professional support requests please visit https://ultralytics.com or email [email protected].

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  # install

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• 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]

@mathur01 load a model normally and then follow the usage examples in the PyTorch Hub tutorial to filter the classes you want:

Tutorials

• Train Custom Data  🚀 RECOMMENDED
• Tips for Best Training Results  ☘️ RECOMMENDED
• Multi-GPU Training
• PyTorch Hub 🌟 NEW
• TFLite, ONNX, CoreML, TensorRT Export 🚀
• Test-Time Augmentation (TTA)
• Model Ensembling
• Model Pruning/Sparsity
• Hyperparameter Evolution
• Transfer Learning with Frozen Layers
• Architecture Summary 🌟 NEW
• Weights & Biases Logging
• Roboflow for Datasets, Labeling, and Active Learning  🌟 NEW
• ClearML Logging 🌟 NEW
• Deci Platform 🌟 NEW
• Comet Logging 🌟 NEW

Good luck 🍀 and let us know if you have any other questions!

[mathur01]

Thanks for quick help. It worked.

[glenn-jocher]

@mathur01 you're welcome! I'm glad to hear it worked for you. If you have any other questions or need further assistance, feel free to ask. Good luck with your project!