First set up a Python 3.6 + based virtual environment. Next install the required dependencies from the requirements.txt file.
pip install -r requirements.txt
Please ensure that the computer has a web camera before running this command.
python computervision.py -capture
This will launch a window showing the video feed. Please hold the printed chessboard.png n a hard, straight surface, and capture 10-16 images by pressing the [Space] key.
To exit from the window, please press the [Esc] key.
Next run this command after you have taken 10-16 photos from the previous instance.
python computervision.py –calibrate
This will automatically carry out image calibration. Please wait while all images are processed before going to the next step in 1.3.
The -solveimg argument accepts 2 arguments after input. The first argument is the path of the marker. The second argument is the path of the test image. This will generate the result assignment_result.png and display the image as well. Please press [Esc] to exit.
python computervision.py –solveimg [marker.png] [testimg.png]
e.g python computervision.py –solveimg "nerv.png" "test_img.png"
This will generate a video display providing constant estimation of the marker. Please press [Esc] to exit.
python computervision.py –solvevid nerv.png
