Rakhmatulin, I.; Pomazov, E. Low-Cost Stereovision System (Disparity Map) For Few Dollars. Preprints 2021, 2021040282 (doi: 10.20944/preprints202104.0282.v1). https://www.preprints.org/manuscript/202104.0282/v1
Only RUN 1.GUI_Real_time_without_calibration.py
Check number of your cameras:
camera1 = cv2.VideoCapture(1)
and
camera2 = cv2.VideoCapture(2)
In the first need prepare image with a chessboard for calibration process and put these images in the folders "left" and "rights" - please change the code in the file, write your path for folders. Make images from 2 cameras by code - "1.Make_images.py"
After that run the code - "GUI_Real_time.py"
At the expense of computer vision, the position of the object in the X, Y plane is determined - based on which its ROI area is taken. Then we use stereo vision to compile a depth map and for a given ROI with the NumPy library tool - np.average we calculated the average value for the pixels of this area, which will allow us to calculate the distance to the object.
