52 lines
1.6 KiB
Plaintext
52 lines
1.6 KiB
Plaintext
class ColorDetect():
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def __init__(self):
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self.color = None
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def getColor(self):
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return self.color
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def detect_color_callback(self, data, print_type='str'):
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'''определение цвета'''
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frame = bridge.imgmsg_to_cv2(data, 'bgr8')
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height, width = frame.shape[:2]
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y_start = int(height * 0.33)
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y_end = int(height * 0.67)
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x_start = int(width * 0.31)
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x_end = int(width * 0.69)
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cropped_frame = frame[y_start:y_end, x_start:x_end]
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if cropped_frame.size == 0:
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return
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if print_type == 'rgb':
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mean_bgr = cv2.mean(cropped_frame)[:3]
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mean_rgb = (int(mean_bgr[2]), int(mean_bgr[1]), int(mean_bgr[0]))
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self.color = str(mean_rgb)
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elif print_type == 'str':
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# Получаем средние значения BGR
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mean_bgr = cv2.mean(cropped_frame)[:3]
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b, g, r = int(mean_bgr[0]), int(mean_bgr[1]), int(mean_bgr[2])
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if b > g and b > r and b > 100:
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self.color = 'blue'
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elif g > b and g > r and g > 100:
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self.color = 'green'
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elif r > b and r > g and r > 100:
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self.color = 'red'
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else:
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self.color = None
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<<separator>>
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cd = ColorDetect()
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color_sub = rospy.Subscriber('main_camera/image_raw', Image, lambda img: cd.detect_color_callback(img, print_type='rgb'), queue_size=1)
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print(cd.getColor())
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rospy.sleep(2)
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color_sub.unregister()
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