视频 ROI 中的 OpenCV 颜色检测
我试图找出交通灯视频中特定投资回报率的颜色。该代码虽然正确预测了颜色,但它并没有针对我正在查看的特定投资回报率执行此操作。
最初,当交通视频开始时,ROI 区域没有 (RGY) 颜色,但它仍然根据其他区域预测并显示红色。我做错了什么。
已在此处上传测试视频进行测试 - https://ufile.io/ha20buns
下面的 Python 代码。
import cv2
import numpy as np
cap = cv2.VideoCapture('D:\Videos\Sample.mp4')
while True:
ret,frame = cap.read()
if ret == False:
break
frame = cv2.resize(frame,(1920 ,1080))
#Extract required section from entire frame
roiColor = cv2.rectangle(frame.copy(),(1022, 565),(1411, 709),(255,255,255),2) #For SampleTL.mp4
blcolor = (255, 0, 0)
cv2.rectangle(frame, (1022, 565),(1411, 709), blcolor)
hsv = cv2.cvtColor(roiColor,cv2.COLOR_BGR2HSV)
#red
lower_hsv_red = np.array([157,177,122])
upper_hsv_red = np.array([179,255,255])
mask_red = cv2.inRange(hsv,lowerb=lower_hsv_red,upperb=upper_hsv_red)
red_blur = cv2.medianBlur(mask_red, 7)
#green
lower_hsv_green = np.array([49,79,137])
upper_hsv_green = np.array([90,255,255])
mask_green = cv2.inRange(hsv,lowerb=lower_hsv_green,upperb=upper_hsv_green)
green_blur = cv2.medianBlur(mask_green, 7)
lower_hsv_yellow = np.array([15,150,150])
upper_hsv_yellow = np.array([35,255,255])
mask_yellow = cv2.inRange(hsv,lowerb=lower_hsv_yellow,upperb=upper_hsv_yellow)
yellow_blur = cv2.medianBlur(mask_yellow, 7)
#Because the image is a binary image, If the image has a white point, which is 255, then take his maximum max value 255
red_color = np.max(red_blur)
green_color = np.max(green_blur)
yellow_color = np.max(yellow_blur)
if red_color == 255:
print('red')
cv2.rectangle(frame,(1020,50),(1060,90),(0,0,255),2 ) #Draw a rectangular frame by coordinates
cv2.putText(frame, "red", (1020, 40), cv2.FONT_HERSHEY_COMPLEX, 1, (0, 0, 255),2) #red text information
elif green_color == 255:
print('green')
cv2.rectangle(frame,(1020,50),(1060,90),(0,255 ,0),2)
cv2.putText(frame, "green", (1020, 40), cv2.FONT_HERSHEY_COMPLEX, 1, (0, 255, 0),2)
elif yellow_color == 255:
print('yellow')
cv2.rectangle(frame,(1020,50),(1060,90),(0,255 ,0),2)
cv2.putText(frame, "yellow", (1020, 40), cv2.FONT_HERSHEY_COMPLEX, 1, (255, 255, 0),2)
cv2.imshow('frame',frame)
red_blur = cv2.resize(red_blur,(300,200))
green_blur = cv2.resize(green_blur,(300,200))
yellow_blur = cv2.resize(yellow_blur, (300,200))
#cv2.imshow('red_window',red_blur)
#cv2.imshow('green_window',green_blur)
#cv2.imshow('yellow_window',yellow_blur)
c = cv2.waitKey(10)
if c==27:
break
cap.release()
cv2.destroyAllWindows() # destroy all opened windows
I am trying to figure out color in a specific ROI in Traffic Light Video. The code although predicts the color correctly it doesn't do it for the specific ROI i am looking at.
Initially when the traffic video starts the ROI region has no (RGY) colors but it still predicts and shows RED based on other areas. What am i doing wrong.
Have uploaded the test Video here for testing -- https://ufile.io/ha20buns
Python Code below.
import cv2
import numpy as np
cap = cv2.VideoCapture('D:\Videos\Sample.mp4')
while True:
ret,frame = cap.read()
if ret == False:
break
frame = cv2.resize(frame,(1920 ,1080))
#Extract required section from entire frame
roiColor = cv2.rectangle(frame.copy(),(1022, 565),(1411, 709),(255,255,255),2) #For SampleTL.mp4
blcolor = (255, 0, 0)
cv2.rectangle(frame, (1022, 565),(1411, 709), blcolor)
hsv = cv2.cvtColor(roiColor,cv2.COLOR_BGR2HSV)
#red
lower_hsv_red = np.array([157,177,122])
upper_hsv_red = np.array([179,255,255])
mask_red = cv2.inRange(hsv,lowerb=lower_hsv_red,upperb=upper_hsv_red)
red_blur = cv2.medianBlur(mask_red, 7)
#green
lower_hsv_green = np.array([49,79,137])
upper_hsv_green = np.array([90,255,255])
mask_green = cv2.inRange(hsv,lowerb=lower_hsv_green,upperb=upper_hsv_green)
green_blur = cv2.medianBlur(mask_green, 7)
lower_hsv_yellow = np.array([15,150,150])
upper_hsv_yellow = np.array([35,255,255])
mask_yellow = cv2.inRange(hsv,lowerb=lower_hsv_yellow,upperb=upper_hsv_yellow)
yellow_blur = cv2.medianBlur(mask_yellow, 7)
#Because the image is a binary image, If the image has a white point, which is 255, then take his maximum max value 255
red_color = np.max(red_blur)
green_color = np.max(green_blur)
yellow_color = np.max(yellow_blur)
if red_color == 255:
print('red')
cv2.rectangle(frame,(1020,50),(1060,90),(0,0,255),2 ) #Draw a rectangular frame by coordinates
cv2.putText(frame, "red", (1020, 40), cv2.FONT_HERSHEY_COMPLEX, 1, (0, 0, 255),2) #red text information
elif green_color == 255:
print('green')
cv2.rectangle(frame,(1020,50),(1060,90),(0,255 ,0),2)
cv2.putText(frame, "green", (1020, 40), cv2.FONT_HERSHEY_COMPLEX, 1, (0, 255, 0),2)
elif yellow_color == 255:
print('yellow')
cv2.rectangle(frame,(1020,50),(1060,90),(0,255 ,0),2)
cv2.putText(frame, "yellow", (1020, 40), cv2.FONT_HERSHEY_COMPLEX, 1, (255, 255, 0),2)
cv2.imshow('frame',frame)
red_blur = cv2.resize(red_blur,(300,200))
green_blur = cv2.resize(green_blur,(300,200))
yellow_blur = cv2.resize(yellow_blur, (300,200))
#cv2.imshow('red_window',red_blur)
#cv2.imshow('green_window',green_blur)
#cv2.imshow('yellow_window',yellow_blur)
c = cv2.waitKey(10)
if c==27:
break
cap.release()
cv2.destroyAllWindows() # destroy all opened windows
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cv2.rectangle 不会裁剪图像,而是返回带有绘制矩形的原始图像。试试这个:
cv2.rectangle doesn't crop the image but returns the original image with a drawn rectangle. Try this instead: