Successfully exports the RGB values of all pixels in the ROI

RGB_channels.py

@@ -11,7 +11,7 @@ read_img = cv2.imread(image)
 #cv2.waitKey(0)
 
 
-def auto_detect(img):
+def RGB_dataframe(img):
 	gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
 	faces = face_cascade.detectMultiScale(gray, 1.3, 5)
 
@@ -50,17 +50,15 @@ def auto_detect(img):
 	y1 = y + fy - 150
 	y2 = y + fy - 20
 
-	return x1, x2, y1, y2
+	imRGB = img[y1:y2, x1:x2]
+	#cv2.imshow('img',imRGB)
+	#cv2.waitKey(0)
 
-
-def RGB_dataframe(image):
-	#dimensions = image.shape
-	#print(dimensions)
-	size_list = list(image.shape[:2])
+	size_list = list(imRGB.shape[:2])
 	pixel_values = []
 	for i in range(0, size_list[0]):
 		for j in range(0, size_list[1]):
-			k = image[i,j]
+			k = imRGB[i,j]
 			pixel_values.append(k)
 	fields = ['R', 'G', 'B'] 
 	with open('RGB_data.csv', 'w', newline="") as f:
@@ -69,15 +67,4 @@ def RGB_dataframe(image):
 		write.writerows(pixel_values)
 	return
 
-out_data = auto_detect(read_img)
-x1 = out_data[0]
-x2 = out_data[1]
-y1 = out_data[2]
-y2 = out_data[3]
-image = "frames/frame1.jpg"
-read_img = cv2.imread(image)
-imRGB = read_img[y1:y2, x1:x2]
-#cv2.imshow('img',imRGB)
-#cv2.waitKey(0)
-
-RGB_dataframe(imRGB)
+RGB_dataframe(read_img)