good afternoon, my project is a little bit small project but yet veryy interesing, here is my code that draws landmarks on hand using mediapipe import cv2 import time import mediapipe as mp mp_holistic = mp.solutions.holistic holistic_model = mp_holistic.Holistic( min_detection_confidence=0.5, min_tracking_confidence=0.5 ) # Initializing the drawing utils for drawing the facial landmarks on image mp_drawing = mp.solutions.drawing_utils # (0) in VideoCapture is used to connect to your computer's default camera capture = cv2.VideoCapture(0) # Initializing current time and precious time for calculating the FPS previousTime = 0 currentTime = 0 while capture.isOpened(): # capture frame by frame ret, frame = capture.read() # resizing the frame for better view frame = cv2.resize(frame, (800, 600)) # Converting the from BGR to RGB image = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) # Making predictions using holistic model # To improve performance, optionally mark the image as not writeable to # pass by reference. image.flags.writeable = False results = holistic_model.process(image) image.flags.writeable = True # Converting back the RGB image to BGR image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR) # Drawing the Facial Landmarks # mp_drawing.draw_landmarks( # image, # results.face_landmarks, # mp_holistic.FACEMESH_CONTOURS, # mp_drawing.DrawingSpec( # color=(255, 0, 255), # thickness=1, # circle_radius=1 # ), # mp_drawing.DrawingSpec( # color=(0, 255, 255), # thickness=1, # circle_radius=1 # ) # ) # Drawing Right hand Land Marks mp_drawing.draw_landmarks( image, results.right_hand_landmarks, mp_holistic.HAND_CONNECTIONS ) for landmark in mp_holistic.HandLandmark: print(landmark,landmark.value) # Drawing Left hand Land Marks mp_drawing.draw_landmarks( image, results.left_hand_landmarks, mp_holistic.HAND_CONNECTIONS ) # Calculating the FPS currentTime = time.time() fps = 1 / (currentTime - previousTime) previousTime = currentTime # Displaying FPS on the image cv2.putText(image, str(int(fps)) + " FPS", (10, 70), cv2.FONT_HERSHEY_COMPLEX, 1, (0, 255, 0), 2) # Display the resulting image cv2.imshow("Facial and Hand Landmarks", image) # Enter key 'q' to break the loop if cv2.waitKey(5) & 0xFF == ord('q'): break # When all the process is done # Release the capture and destroy all windows capture.release() cv2.destroyAllWindows() for both left and right hand, but my goal is : to draw straight line between hand, in order to understand my question, let us discuess following image : benchpress from the figure we can say for instance that line between hands should be perfectly horizontan (so angle should be zero, as if we consider following equation : line equation it is easy to say that in order to be perfectly horizontal lines , y coordinates should be equal to each other, so please help me to detect how to determine coordinates and how to draw line between two point? drawing is easy as cv2.line exist, but what about coordinates? Continue reading...