Metadata-Version: 1.2
Name: fine-grained-segmentation
Version: 0.1.7
Summary: Mask R-CNN for Fine-Grained segmentation
Home-page: https://github.com/vinny-palumbo/fine_grained_segmentation
Author: Vincent Palumbo
Author-email: vinnypalumbo.com@gmail.com
License: MIT
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
           ```
        3. Download pre-trained weights (mrcnn.onnx) from the [releases page](https://github.com/vinny-palumbo/fine_grained_segmentation/releases)
        
        ## Usage
        
        Here is how to use the library from the command line:
        ```bash
        fashion-segmentator --image=<path/to/image/file>
        ```
        This will generate a ```result.png``` file in the current directory
        
        ## Getting Started
        
        * [main.py](fine_grained_segmentation/main.py) detects and segments fashion items in an image
        
        
        
        
        
Platform: UNKNOWN
Requires-Python: >=3.4
