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Kami-code
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update training code.
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README.md

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@@ -30,8 +30,6 @@ conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 -c pytorch
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the [Google Drive](https://drive.google.com/file/d/1JdReXZjMaqMO0HkZQ4YMiU2wTdGCgum1/view?usp=sharing) and place
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the `asset` directory at the project root directory.
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3. If you want to visualize the policy or train the model by yourself, please visit [DexArt-Algo Repository](https://github.com/Kami-code/dexart-algo) for more information.
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## File Structure
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The file structure is listed as follows:
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setup.py

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setup(
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name='dexart-sim',
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name='dexart',
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version='0.1.0',
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packages=find_packages(),
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url='https://github.com/Kami-code/dexart-sim',
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url='https://github.com/Kami-code/dexart-release',
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license='',
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author="Xiaolong Wang's Lab",
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install_requires=[

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