How to use 'bounding box opencv python' in Python
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7 def boxing(original_img, predictions): 8 newImage = np.copy(original_img) 9 car = 0 10 truck = 0 11 motorbike = 0 12 for result in predictions: 13 if result['label'] == 'car' or result['label'] == 'motorbike' or result['label'] == 'truck': 14 if result['label'] == 'car': 15 car = car + 1 16 if result['label'] == 'motorbike': 17 motorbike = motorbike + 1 18 if result['label'] == 'truck': 19 truck = truck + 1 20 21 22 top_x = result['topleft']['x'] 23 top_y = result['topleft']['y'] 24 25 btm_x = result['bottomright']['x'] 26 btm_y = result['bottomright']['y'] 27 28 confidence = result['confidence'] 29 label = result['label'] + " " + str(round(confidence, 3)) 30 31 if confidence > 0.3: 32 newImage = cv2.rectangle(newImage, (top_x, top_y), (btm_x, btm_y), (255,0,0), 2) 33 34 print ("cars : {}".format(car)) 35 print ("trucks : {}".format(truck)) 36 print ("motorbike : {}".format(motorbike)) 37 print ('\n') 38 return newImage