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README.md

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@@ -55,6 +55,12 @@ Here is testing result. For Coarse-to-Fine Warping module,
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5. Then run ```python inference.py```
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Output will be saved in `outputs` folder.
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## Update: Inference using colab
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Please find inference code of Sievenet in 2nd part of this notebook
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[colab-badge]: <https://colab.research.google.com/assets/colab-badge.svg>
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[![Open In Colab][colab-badge]](https://colab.research.google.com/github/levindabhi/ACGPN/blob/master/ACGPN_and_SieveNet.ipynb)
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# Acknowledgements #
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Some modules of this implementation is based on this [repo](https://github.com/sergeywong/cp-vton)</br>
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For generating pose keypoints, I have used [learnopencv](https://github.com/spmallick/learnopencv/tree/master/OpenPose-Multi-Person) implementation of OpenPose

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