A New Approach by using the Blend of Image-Processing Technique and Deep-Learning Algorithm to Segment any Fashion and e-commerce Retail Images. The code can be used for any industry on any images and the core algortithm is 'grab-cut algorithm" with the blend of Deep-Learning Convolutional Neural Networks. The Repo is designed in a preview way and its limited for fashion Images with auto-segmenting Top-wear clothes(Example: Tshirt, shirts) and Full-body clothes(salwar,gowns, shirt-pants-shoes)*

https://en.wikipedia.org/wiki/GrabCut

https://en.wikipedia.org/wiki/Deep_learning

1.Python

2.OpenCV 3.1.0

3.Keras with tensorflow backend

4.Pandas

5.NumPy

1.clone the Repo to your local pc ensuring that all the package requirements satisfied.

2.Run the code from the terminal python fashion.py image1.jpg /Users/demo/save

3.argument1 -- image_name -- image1.jpg, argument2 -- save_directory -- /Users/demo/

4.Visualize the results in your save_directory.

python instance_segmentation.py image_name save_dir