Fix GPU detection on Apple Silicon
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13
README.md
13
README.md
@@ -64,13 +64,11 @@ NeoRefacer has been tested on the following operating systems:
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| Operating System | CPU Support | GPU Support |
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| ---------------- | ----------- | ----------- |
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| MacOSX | ✅ | :warning: |
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| MacOSX | ✅ | ✅ |
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| Windows | ✅ | ✅ |
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| Linux | ✅ | ✅ |
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The application is compatible with both CPU and GPU (Nvidia CUDA) environments, and MacOSX(CoreML)
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:warning: Please note, we do not recommend using `onnxruntime-silicon` on MacOSX due to an apparent issue with memory management. If you manage to compile `onnxruntime` for Silicon, the program is prepared to use CoreML.
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The application is compatible with both CPU and GPU (Nvidia CUDA) environments, and MacOSX (CoreML)
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## Installation
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@@ -82,9 +80,12 @@ Follow these steps to install Refacer and its dependencies:
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```bash
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# Check if ffmpeg is available (if not, you might to download it and add it to your PATH)
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ffmpeg
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# Windows: download ffmpeg-git-essentials.7z from https://www.gyan.dev/ffmpeg/builds/
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# Other systems: see a tutorial https://www.hostinger.com/tutorials/how-to-install-ffmpeg
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ffmpeg
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# MacOS: if you have brew installed:
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# brew install ffmpeg
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# Other systems: see a tutorial https://www.hostinger.com/tutorials/how-to-install-ffmpeg
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# Clone the repository
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git clone https://github.com/MechasAI/NeoRefacer.git
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