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Optimize Docs images (#15900)

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Signed-off-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Muhammad Rizwan Munawar 2024-08-30 05:52:10 +05:00 • committed by GitHub
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docs/en/yolov5/tutorials/model_pruning_and_sparsity.md
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@ -58,7 +58,7 @@ Results saved to runs/val/exp
We repeat the above test with a pruned model by using the `torch_utils.prune()` command. We update `val.py` to prune YOLOv5x to 0.3 sparsity:
<img width="894" alt="Screenshot 2022-02-02 at 22 54 18" src="https://user-images.githubusercontent.com/26833433/152243799-b0ac2777-b1a8-47b1-801a-2e4c93c06ead.png">
<img width="894" alt="Screenshot 2022-02-02 at 22 54 18" src="https://github.com/ultralytics/docs/releases/download/0/sparsity-test-yolov5x-coco.avif">
30% pruned output: