https://github.com/datek/symbol-detector

Real-time shape detection with camera frame analysis.
https://github.com/datek/symbol-detector

computer-vision opencv-python

Last synced: 11 days ago
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Real-time shape detection with camera frame analysis.

• Host: GitHub
• URL: https://github.com/datek/symbol-detector
• Owner: DAtek
• License: mit
• Created: 2022-02-07T06:41:59.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2022-02-07T06:43:12.000Z (over 4 years ago)
• Last Synced: 2025-03-04T06:42:24.590Z (over 1 year ago)
• Topics: computer-vision, opencv-python
• Language: Python
• Homepage:
• Size: 194 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Symbol detector

## Real-time shape detection with camera frame analysis.

This program was developed for my thesis in 2017 and the repo contains just a slightly modified version.  

In that time I had no concept about _TDD_ and _Clean Code_, that's why the code is messy and doesn't have tests.

## Operation

The program analyzes each frame and finds the pointer. It stores the pointer's coordinates

from appearing to disappearing in blocks. When a block is defined, it sends to detector worker.  

   

It was only tested on Ubuntu based linux, it may require some minor modifications to run on Windows.

## Requirements

- `python >= 3.8.0`

- `poetry`

- `tcl/tk`

## Usage

- Create a `python` virtual environment.

- Activate the environment and run `poetry install`.

- Find an illuminating object that can be easily distinguished from the background.

- Make sure that you have a camera.

- Run `symbol-detector-gui` script.

- Go to `Settings -> Camera probe` and calibrate the camera. The calibration is correct when only the expected object (_pointer_) can be shown on the screen.

  - Refresh the frame with `r` and adjust blur and exposition.

  - Find the center of the pointer

  - Left click

  - Find the border of the pointer

  - Right click

  - Middle click somewhere. If a red circle appears, the calculation was successful.

  - Press `q`

  - If you want to improve your selection, press `d` and go from beginning. 

- Select the symbol set.

- Start the detection.