Calculate & visualize the angle between two colored objects in a video stream using OpenCV

opencv-angle-calc.py

"""
USES OPENCV 4.10, PROBABLY WILL WORK FOR OPENCV 2.70 and up 
REMEMBER TO CALCULATE THE HSV BOUNDS FOR color1 & color2, use the trackbar:
https://gist.github.com/botforge/c6559abd3c48bceb78c2664dcb53cef6
to get these values
"""
import cv2
import numpy as np
import math

def distance(x1, y1, x2, y2):
    """
    Calculate distance between two points
    """
    dist = math.sqrt(math.fabs(x2-x1)**2 + math.fabs(y2-y1)**2)
    return dist

def find_color1(frame):
    """
    Filter "frame" for HSV bounds for color1 (inplace, modifies frame) & return coordinates of the object with that color
    """
    hsv_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
    hsv_lowerbound = np.array([139, 149, 131]) #replace THIS LINE w/ your hsv lowerb
    hsv_upperbound = np.array([179, 255, 219])#replace THIS LINE w/ your hsv upperb
    mask = cv2.inRange(hsv_frame, hsv_lowerbound, hsv_upperbound)
    res = cv2.bitwise_and(frame, frame, mask=mask) #filter inplace
    cnts, hir = cv2.findContours(mask, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
    if len(cnts) > 0:
        maxcontour = max(cnts, key=cv2.contourArea)

        #Find center of the contour 
        M = cv2.moments(maxcontour)
        if M['m00'] > 0 and cv2.contourArea(maxcontour) > 1000:
            cx = int(M['m10']/M['m00'])
            cy = int(M['m01']/M['m00'])
            return (cx, cy), True
        else:
            return (700, 700), False #faraway point
    else:
        return (700, 700), False #faraway point

def find_color2(frame):
    """
    Filter "frame" for HSV bounds for color1 (inplace, modifies frame) & return coordinates of the object with that color
    """
    hsv_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
    hsv_lowerbound =  np.array([101, 152, 92])#replace THIS LINE w/ your hsv lowerb
    hsv_upperbound = np.array([149, 255, 243])#replace THIS LINE w/ your hsv upperb
    mask = cv2.inRange(hsv_frame, hsv_lowerbound, hsv_upperbound)
    res = cv2.bitwise_and(frame, frame, mask=mask)
    cnts, hir = cv2.findContours(mask, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
    if len(cnts) > 0:
        maxcontour = max(cnts, key=cv2.contourArea)

        #Find center of the contour 
        M = cv2.moments(maxcontour)
        if M['m00'] > 0 and cv2.contourArea(maxcontour) > 2000:
            cx = int(M['m10']/M['m00'])
            cy = int(M['m01']/M['m00'])
            return (cx, cy), True #True
        else:
            return (700, 700), True #faraway point
    else:
        return (700, 700), True #faraway point


cap = cv2.VideoCapture(0)

while(1):
    _, orig_frame = cap.read()
    #we'll be inplace modifying frames, so save a copy
    copy_frame = orig_frame.copy() 
    (color1_x, color1_y), found_color1 = find_color1(copy_frame)
    (color2_x, color2_y), found_color2 = find_color2(copy_frame)

    #draw circles around these objects
    cv2.circle(copy_frame, (color1_x, color1_y), 20, (255, 0, 0), -1)
    cv2.circle(copy_frame, (color2_x, color2_y), 20, (0, 128, 255), -1)

    if found_color1 and found_color2:
        #trig stuff to get the line
        hypotenuse = distance(color1_x, color1_x, color2_x, color2_y)
        horizontal = distance(color1_x, color1_y, color2_x, color1_y)
        vertical = distance(color2_x, color2_y, color2_x, color1_y)
        angle = np.arcsin(vertical/hypotenuse)*180.0/math.pi

        #draw all 3 lines
        cv2.line(copy_frame, (color1_x, color1_y), (color2_x, color2_y), (0, 0, 255), 2)
        cv2.line(copy_frame, (color1_x, color1_y), (color2_x, color1_y), (0, 0, 255), 2)
        cv2.line(copy_frame, (color2_x, color2_y), (color2_x, color1_y), (0, 0, 255), 2)

        #put angle text (allow for calculations upto 180 degrees)
        angle_text = ""
        if color2_y < color1_y and color2_x > color1_x:
            angle_text = str(int(angle))
        elif color2_y < color1_y and color2_x < color1_x:
            angle_text = str(int(180 - angle))
        elif color2_y > color1_y and color2_x < color1_x:
            angle_text = str(int(180 + angle))
        elif color2_y > color1_y and color2_x > color1_x:
            angle_text = str(int(360 - angle))
        
        #CHANGE FONT HERE
        cv2.putText(copy_frame, angle_text, (color1_x-30, color1_y), cv2.FONT_HERSHEY_COMPLEX, 1, (0, 128, 229), 2)

    cv2.imshow('AngleCalc', copy_frame)
    cv2.waitKey(5) 

cap.release()
cv2.destroyAllWindows()

Hello .. This is giving error .. can you please help.
C:\Users\XPS\PycharmProjects\FaceMesh1\venv\Scripts\python.exe "C:/Users/XPS/PycharmProjects/FaceMesh1/orientation 2.py"
Error processing line 1 of C:\Users\XPS\PycharmProjects\FaceMesh1\venv\lib\site-packages\vision-1.0.0-py3.10-nspkg.pth:

Traceback (most recent call last):
File "C:\Users\XPS\AppData\Local\Programs\Python\Python310\lib\site.py", line 186, in addpackage
exec(line)
File "", line 1, in
File "", line 568, in module_from_spec
AttributeError: 'NoneType' object has no attribute 'loader'

Remainder of file ignored
Error processing line 1 of C:\Users\XPS\PycharmProjects\FaceMesh1\venv\lib\site-packages\vision-1.0.0-py3.10-nspkg.pth:

Traceback (most recent call last):
File "C:\Users\XPS\AppData\Local\Programs\Python\Python310\lib\site.py", line 186, in addpackage
exec(line)
File "", line 1, in
File "", line 568, in module_from_spec
AttributeError: 'NoneType' object has no attribute 'loader'

Remainder of file ignored
[ WARN:[email protected]] global D:\a\opencv-python\opencv-python\opencv\modules\videoio\src\cap_msmf.cpp (539) `anonymous-namespace'::SourceReaderCB::~SourceReaderCB terminating async callback
Traceback (most recent call last):
File "C:\Users\XPS\PycharmProjects\FaceMesh1\orientation 2.py", line 67, in
cap = cv2.VideoCapture(1)
KeyboardInterrupt

Process finished with exit code -1073741510 (0xC000013A: interrupted by Ctrl+C)