This is an implementation of the Coal Composition Control System project of the CompTechSchool 2022.
The AI-based system for the coal fraction analysis on the conveyor in real time.
- docs : documentation
- src : main code
- scripts : scripts for data downloading
- data : downloaded data saved here
- weights : learnt weights
- train : auxiliary code
- python3
- pip
Clone the repo and change to the project root directory:
git clone https://github.com/comptech-winter-school/coal-composition-control
cd coal-composition-control
docker build . -t coal
docker run --name coal-container -it coal
After you've done with the demo stop and remove all running containers and images:
docker system prune -a
Clone the repo and change to the project root directory:
git clone https://github.com/comptech-winter-school/coal-composition-control
cd coal-composition-control
Install requirements:
pip install -r requirements.txt
And run:
streamlit run startup.py
- Semantic segmentation
- Object detection
- Instance segmentation with Mask R-CNN
- Instance segmentation with Yolact
- Classic edge detectors
 Pashtetickus |
 asromahin |
 0x0000dead |
 JI411 |
 Dr_Under |
 LRDPRDX |
|---|---|---|---|---|---|
| Павел Данилов | Александр Ромахин | Сергей Ванданов | Александр Лекомцев | Ильдар Мурзагалеев | Богдан Сикач |
| Team Leader, Developer |
Project Manager | Data Analyst, Developer |
Data Analyst, Developer |
Data Analyst, Developer |
Technical Writer |