Find Path project finds humans paths and routes, such as sidewalks, park ways, forest paths. This project implements semantic segmentation approach. It uses VGG16 pretrained model.
Go to calculations folder.
$ cd calculations
$ python train.py
Run Trained Model
Check for examples in calculations/demo.py, calculations/demo.ipynb, calclulations/video_demo.ipynb files.
Before installation, make sure that NodeJS, npm and bower are installed.
$ cd dataset_maker $ bower install
Open index.html and have fun.
All dataset images have 320 width, 180 height and contain 3 channels. Every image has own .json file which describes object in the image. In this project only 3 classes are observed: boundaries (everything arround path), paths / ways and obstacles (things that are on path - eg. human, road pit and etc.). Dataset contains 300 images (I'll put a bit later).
Path Finding with OpenCV
Check calculations/cv/ folder.