ultralytics / yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
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Visualization using TorchView #10871

Closed mert-kurttutan closed 1 year ago

mert-kurttutan commented 1 year ago

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Description

Extra improved python only visualization tool with torchview.

Hi, I have been experimenting on visualizing models of yolov5 family. It provides customizable visualization of pytorch models. Features include showing nested modules with dashed lines, or depth limit, and it is very close to plot_model of keras.

One example of yolovl6 is at the additional section.

You can see, for instance, dashed lines representing nested modules,

I saw in other issues that you promoted other visualization tools, e.g. netron. But, these might not be favorable when

The customization option becomes really useful too manage network that are too large to view.

I guess if you are convinced by the tool, either you can

Use case

It would be really beneficial when debugging yolov5 related codes using different customization options provided in torchview.

Additional

model gv (3)

Are you willing to submit a PR?

github-actions[bot] commented 1 year ago

👋 Hello @mert-kurttutan, 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.

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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  # install

Environments

YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

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github-actions[bot] commented 1 year ago

👋 Hello, this issue has been automatically marked as stale because it has not had recent activity. Please note it will be closed if no further activity occurs.

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glenn-jocher commented 12 months ago

@mert-kurttutan hi there, thanks for sharing this visualization tool! It's great to see the community experimenting with new ways to visualize YOLOv5 models. Your example with the customizable features looks promising.

We're always open to exploring new tools and features that can benefit the YOLO community. I'll review the torchview tool and see how it can complement our existing visualization options.

If you have specific suggestions or examples of how torchview can enhance YOLOv5 model visualization, feel free to share them. Your contribution will definitely help us improve the YOLOv5 experience.

Thanks again for your support and willingness to submit a PR! Your efforts are truly appreciated.