cloths-segmentation 0.0.2

High quality model for cloths segmentation.

cloths_segmentation

Code for binary segmentation of cloths

Data Preparation

Download the dataset from https://www.kaggle.com/c/imaterialist-fashion-2019-FGVC6

Process the data using script https://github.com/ternaus/iglovikov_helper_functions/tree/master/iglovikov_helper_functions/data_processing/prepare_cloths_segmentation

The script will create process the data and store images to folder images and binary masks to folder labels.

Training

Define the config.

Example at cloths_segmentation/configs

You can enable / disable datasets that are used for training and validation.

Define the environmental variable IMAGE_PATH that points to the folder with images.

Example:

export IMAGE_PATH=<path to the the folder with images>

Define the environmental variable LABEL_PATH that points to the folder with masks.

Example:

export MASK_PATH=<path to the folder with masks>

Training

python -m cloths_segmentation.train -c <path to config>

Inference

python -m torch.distributed.launch --nproc_per_node=<num_gpu> cloths_segmentation/inference.py \
                                   -i <path to images> \
                                   -c <path to config> \
                                   -w <path to weights> \
                                   -o <output-path> \
                                   --fp16