Python Robotics Projects

Image recognition

Now, to go ahead and start doing vision processing, let's connect the camera to Raspberry Pi. Once you have done that, you need to write the following code:

import cv2import numpy as npcap = cv2.VideoCapture(0)while True:        _, image = cap.read()        cv2.imshow("Frame", image)        hsv = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)        lowerGreen = np.array([80,50,50])        upperGreen = np.array([130,255,255])        mask = cv2.inRange(hsv, lowerGreen, upperGreen)        res = cv2.bitwise_and(image, image, mask=mask)        cv2.imshow('mask',mask)        cv2.imshow('result',res)        key = cv2.waitKey(1) & 0xFF        if key == ord('q'):                breakcv2.destroyAllWindows()cap.release()

Before you actually compile this code, let me tell you what exactly we are doing:

import numpy as np

In the preceding ...