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Mask R-CNN for Fine-Grained segmentation

Project description

# Fine-Grained Segmentation

This is a project for fine-grained segmentation on clothing items in images, implemented in Python 3 and ONNX. A deep learning model generates bounding boxes and segmentation masks for each instance of an object in the image. It’s based on [Matterport Mask R-CNN](https://github.com/matterport/Mask_RCNN)

## Requirements

Python 3.5, ONNX runtime, and other common packages listed in requirements.txt.

## Installation

  1. Clone this repository

  2. Run setup to install the library `bash python3 setup.py install ` If it failed to install the dependencies, run `bash pip3 install -r requirements.txt `

## Getting Started

  • [detect.py](fine_grained_segmentation/model/detect.py) detects and segments fashion items in an image

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