https://github.com/ugnelis/find-path
Find path by using Semantic Segmentation.
https://github.com/ugnelis/find-path
dataset dataset-maker fcn-16s ipynb semantic-segmentation tensorflow vgg16
Last synced: 4 months ago
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Find path by using Semantic Segmentation.
- Host: GitHub
- URL: https://github.com/ugnelis/find-path
- Owner: ugnelis
- License: mit
- Archived: true
- Created: 2016-11-11T15:46:06.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2017-09-26T17:21:48.000Z (over 7 years ago)
- Last Synced: 2025-01-17T01:12:17.362Z (5 months ago)
- Topics: dataset, dataset-maker, fcn-16s, ipynb, semantic-segmentation, tensorflow, vgg16
- Language: Jupyter Notebook
- Homepage:
- Size: 4.03 MB
- Stars: 10
- Watchers: 1
- Forks: 5
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# find-path
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.
[](https://www.youtube.com/watch?v=jTj_mzeoVm0)
## Path Finding
### Installation
TODO
### Training
Go to *calculations* folder.
```bash
$ cd calculations
```
Run training.
```bash
$ python train.py
```
### Run Trained Model
Check for examples in *calculations/demo.py*, *calculations/demo.ipynb*, *calclulations/video_demo.ipynb* files.
## Dataset Maker
For making dataset, web based application was made which uses just JavaScript without any framework.
### Installation
Before installation, make sure that NodeJS, npm and bower are installed.
```bash
$ cd dataset_maker
$ bower install
```
### Launching
Open *index.html* and have fun.
## Dataset
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.
## Code References
https://github.com/MarvinTeichmann/tensorflow-fcn
https://github.com/shelhamer/fcn.berkeleyvision.org
https://github.com/machrisaa/tensorflow-vgg