main.py

from Camera import Camera
import cv2
import numpy as np

class ProcessingUtils():
    @staticmethod
    def crop_img(img):
        img = img[220:390, 220:400]
        img = cv2.rotate(img, cv2.ROTATE_180)
        return img

    @staticmethod
    def draw_mesh(img, grid_size:int = 8, line_color:tuple[int,int,int] = (255,255,255)):
        h,w = img.shape[:2]
        cell_h = h // grid_size
        cell_w = w // grid_size
        for i in range(1,8):
            cv2.line(img, (0, i * cell_h), (w, i*cell_h), line_color, 1)
            cv2.line(img, (i*cell_w, 0), (i*cell_w, h), line_color, 1)
        return img 

if __name__ == "__main__":
    cam = Camera()
    cam.start()

    for img in cam:
        cv2.imshow("IMG" , img)
        print(img.shape)
        img = ProcessingUtils.crop_img(img)
        mesh_img = ProcessingUtils.draw_mesh(img)
        
        w,h,c = mesh_img.shape
        cell_h = h // 8
        cell_w = w // 8

        array_camera_res = []
        for i in range(8):
            row = []
            for j in range(8):
                cell = mesh_img[i * cell_h:(i+1)*cell_h, j*cell_w : (j+1) * cell_w]
                cell = cell.flatten()
                # Filter the 255 values
                cell = cell[cell != 255]
                if cell.size > 0:
                    max_val = np.max(cell)
                else:
                    # If the are all 255, then the max value should to 255
                    max_val = 255
                row.append(max_val)
            array_camera_res.append(row)
        
        array_camera_res = np.array(array_camera_res)
        
        print(array_camera_res)
        cv2.imshow("MESH GRID",mesh_img)
        if cv2.waitKey(1) & 0xFF == ord("q"):
            cam.stop()
            cv2.destroyAllWindows()