feat: Add OmniParser model downloader and converter scripts - #45
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- Implemented `convert_omniparser_to_onnx.py` for converting YOLO model from PyTorch to ONNX format. - Created `download_and_convert_all.py` to download both icon_detect and icon_caption_florence models and convert them to ONNX. - Added PowerShell scripts: `download_omniparser_model.ps1` for downloading the icon_detect model, and `setup_omniparser_complete.ps1` for complete setup including model conversion. - Introduced `setup_omniparser_full.ps1` for downloading and converting both detection and captioning models. - Developed test scripts: `test_ocr_simple.ps1` for Tesseract OCR initialization and `test_simple_omniparser.ps1` for testing model loading and inference. - Included model weights for icon_detect in the repository.
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feat: Add OmniParser model downloader and converter scripts
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convert_omniparser_to_onnx.pyfor converting YOLO model from PyTorch to ONNX format.download_and_convert_all.pyto download both icon_detect and icon_caption_florence models and convert them to ONNX.download_omniparser_model.ps1for downloading the icon_detect model, andsetup_omniparser_complete.ps1for complete setup including model conversion.setup_omniparser_full.ps1for downloading and converting both detection and captioning models.test_ocr_simple.ps1for Tesseract OCR initialization andtest_simple_omniparser.ps1for testing model loading and inference.