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- # Clothes Segmentation
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- This is my implementation of [this project](https://github.com/ternaus/cloths_segmentation)!
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- ## Dependencies
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- - python >= 3.6
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- - [pytorch](https://pytorch.org/) >= 1.2
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- - opencv
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- - matplotlib
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- - albumentations, iglovikov_helper_functions, pytorch_lightning, pytorch_toolbelt, segmentation-models-pytorch, tqdm, wandb
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- ## Installation
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- 1. Download & install cuda 10.2 toolkit [here](https://developer.nvidia.com/cuda-10.2-download-archive?target_os=Linux&target_arch=x86_64&target_distro=Ubuntu&target_version=1804&target_type=debnetwork)
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- 2. Download & install anaconda python 3.7 version
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- 3. Install Dependencies
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- 4. Run `main.py`
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-
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- ## A example
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- <a href="url"><img src="test.jpg" align="left" style="width=50%" ></a>
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- <a href="url"><img src="test.png" align="left" style="width=50%" ></a>
 
 
 
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+ Following will read images from a folder, images must contain people. It will save the cloth segmented results to a separate folder.
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+ ```
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+ python semgent_from_folder.py
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+ ```
 
 
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