Thr objects are assumed to be chess piece The two primary parts of the code are Detecting the chess piece which has the most lines of code and measuring the distance
“cv2.cvtColor(image, cv2.COLOR_BGR2HSV)” -Image converted to HSV color model “Gra[:,:,2]” - Converted to black and white. The 2 signifies black and white. “v2.GaussianBlur(gray, (7,7), 0)” - Blur the image in order to better detect image. “cv2.inRange(gray, 0, 70)” Select black pixels denoted by range from 0 to 70. This is the background of chess piece. The chess piece is in white color. The gaps in the background need to be filled. This is done by repeating dilation and erosion. In Dilation, the value of the output pixel is the maximum value of all the pixels in the input pixel's neighborhood. In a binary image, if any of the pixels is set to the value 1, the output pixel is set to 1. In Erosion, the value of the output pixel is the minimum value of all the pixels in the input pixel's neighborhood. In a binary image, if any of the pixels is set to 0, the output pixel is set to 0. “np.where(edged>50)”-Select the chess piece by selecting all white pixels
In the variable ‘ff’ all pixels of the detected chess piece are stored. The average of all pixels of chess piece is found by using the mean function to find the centre of the chess piece The distance is found by using Euclidian distance formula. dist((x, y), (a, b)) = Squareroot((x - a)² + (y - b)²) Where x,y are x and y coordinates of centre of first chess piece. Similarly a,b are x and y coordinates of centre of second chess piece.
Distance betwen Camera and Object The distace or pixels between object in 2 images is inversely proportional to distace between camera and object. HEnce the constant pf proportionality is calculated and stored in text. T
In the first line of Calibrate file , you will need to set the distance between chess pieces of two images. This is needed to calibrate the camera each time camera position is changed When you calibrate , new file called donotdelete.txt will be generated. Then run calculate file. The distance will be shown :)