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PhotonVision/README.md
2019-08-29 00:01:40 +03:00

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# Chameleon-Vision
a free software for FRC teams to use for vision proccesing on their robots
## getting started
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.
### Prerequisites
so in order to run this project we will need to install python in order to run the backend and node.js with vue.js in order to run the fronted
#### backend
- python 3.7 and above
- opencv 3.4.5
- tornado web framework
- robotpy-cscore
- pynetworktables
- pymq
#### frontend
- vue.js
- vuex
- vue-router
- less and less-loader
- iView
- vue-native-websocket
### installing
#### for the backend
1. sudo apt-get update
2. apt-get dist-upgrade
3. sudo apt-get upgrade
4. sudo apt-get install python3-pip python3-dev cmake zip unzip build-essential git libnss-mdns --fix-missing
5. sudo pip3 install numpy (if on raspberry pi do "sudo apt-get install python3-numpy")
6. sudo apt-get install python3-opencv
7. pip3 install robotpy-cscore
8. pip3 install pyzmq
9. pip3 install tornado
to run the backend:
```
sudo python3 Main.py
```
if backed gets suck or no camera are recognized after a crash do:
```
sudo pkill -9 python3
```
#### compiling:
in order to compile the program for runtime run: (still needs to install dependencies)
```
python3 -m nuitka --follow-imports Main.py
```
#### for the frontend
1. sudo apt-get install nodejs npm
2. cd chameleon-client
3. sudo npm install
4. sudo npm install @vue/cli
to run the front end you can open the cli ui by:
```
vue ui
```
of you can auto serve the ui by
```
npm run serve
```
## Hardware
this is important when choosing your sbc it is more important to have a good usb controller that a good cpu
on the odroid xu4 which is very fast i have got many bottlenecks from the usb controller and many times making the program crach
#### networking
it is very important to install Bonjour
## docs
main docs can be found at [google docs](https://docs.google.com/document/d/1qDuwHtpIPJfyXGIL8PJG89LZwRWbn2J9f-5g19lWL9U/edit?usp=sharing)
## Authors
* **Sagi Frimer** - *initial work* - websocket, settings manager, UI
* **Ori Agranat** - *main coder* - vision loop , UI, websocket, networktables
## Acknowledgments
* the [robotpy project](https://github.com/robotpy) and mainly the cscore libs
* basically all of stackoverflow