So the logic is pretty lengthy but it's pretty much several trackbars changing certain values which should be assigned to certain variables inside the while loop that captures video.

This is one of the trackbar functions with the variables defined globally:

min_hue = 0
max_hue = 0

def on_min_hue_trackbar(val): # called from waitKey()
    min_hue = val
    print(f"Change min_hue to {min_hue}" )

And this is the video capture logic that comes after

def videoColorExtraction():
    cap = cv2.VideoCapture(0)
    while True:
        #print(min_hue)
        low_color = np.array([min_hue, min_sat, min_val]).reshape((1,1,3))
        high_color = np.array([max_hue, max_sat, max_val]).reshape((1,1,3))
        ret, frame = cap.read()
        frame = np.flip(frame, 1)
        cv2.imshow('Original', frame)
        cv2.imshow('Extracted', extractColor(frame, low_color, high_color))
        if cv2.waitKey(1) == 27: # waitKey() may call on_min_hue_trackbar()
            break
    cv2.destroyAllWindows()
    cap.release() 

So when I run this function after ive defined the trackbar functions and variables, the initial values of the global "min_hue" variable is assigned in the low_color variable but when its updated in the trackbar function, nothing happens in the video function.

I know its updated because of the print statement in the trackbar function. The variable changes fine but if i run the print statement in the video function, the value never changes.

CodePudding user response：

The variable is declared outside of the scope of the function so it can be read, but not updated. If you want to update a global variable, just add global min_hue before updating the variable inside the function to access it. Like:

min_hue = 0

def on_min_hue_trackbar(val):
    global min_hue
    min_hue = val
    print(f"Change min_hue to {min_hue}" )