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README.md
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Temporally consistent video matting. 5-model pipeline with memory propagation.
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Core ML conversion of [pq-yang/MatAnyone](https://github.com/pq-yang/MatAnyone) for on-device inference on iPhone, iPad and Mac. Converted with `coremltools`; the packages are stateless, so all sequencing and buffering lives in your Swift code.
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Temporally consistent video matting. 5-model pipeline with memory propagation.
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<p><img src="https://huggingface.co/mlboydaisuke/MatAnyone-CoreML/resolve/main/media/1418f0f55f.gif" alt="MatAnyone demo"></p>
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Core ML conversion of [pq-yang/MatAnyone](https://github.com/pq-yang/MatAnyone) for on-device inference on iPhone, iPad and Mac. Converted with `coremltools`; the packages are stateless, so all sequencing and buffering lives in your Swift code.
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