Optimize gradio demo #44
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Update requirements.txt
Update requirements.txt
Update requirements.txt
Update `gradio_demo.py` to use OpenCV for image processing and optimize the `process` function. * Replace PIL library with OpenCV for image processing tasks. * Modify `process` function to work with images in memory using in-memory operations. * Set models to use the appropriate device (`cuda` or `cpu`) based on availability. * Enable mixed precision training and inference using `torch.autocast` and `torch.inference_mode` decorators in `process` function. * Utilize efficient image processing techniques such as resizing, cropping, and converting images to different formats using OpenCV functions. --- For more details, open the [Copilot Workspace session](https://copilot-workspace.githubnext.com/akaday/OmniParser?shareId=XXXX-XXXX-XXXX-XXXX).
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