a.py

# motion funzionante con lo style
import mediapipe as mp
import cv2
mp_drawing = mp.solutions.drawing_utils
mp_holistic = mp.solutions.holistic

cap = cv2.VideoCapture(0)
# Initiate holistic model
with mp_holistic.Holistic(min_detection_confidence=0.8, min_tracking_confidence=0.8) as holistic:

    while cap.isOpened():
        ret, frame = cap.read()

        # Recolor Feed
        image = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
        # Make Detections
        results = holistic.process(image)

        # print(results.face_landmarks)

        # face_landmarks, pose_landmarks, left_hand_landmarks, right_hand_landmarks

        # Recolor image back to BGR for rendering
        image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)

        # 1. Draw face landmarks
        mp_drawing.draw_landmarks(image, results.face_landmarks, mp_holistic.FACEMESH_CONTOURS,
                                  mp_drawing.DrawingSpec(
                                      color=(80, 110, 10), thickness=1, circle_radius=1),
                                  mp_drawing.DrawingSpec(
                                      color=(80, 256, 121), thickness=1, circle_radius=1)
                                  )

        # 2. Right hand
        mp_drawing.draw_landmarks(image, results.right_hand_landmarks, mp_holistic.HAND_CONNECTIONS,
                                  mp_drawing.DrawingSpec(
                                      color=(80, 22, 10), thickness=2, circle_radius=4),
                                  mp_drawing.DrawingSpec(
                                      color=(80, 44, 121), thickness=2, circle_radius=2)
                                  )

        # 3. Left Hand
        mp_drawing.draw_landmarks(image, results.left_hand_landmarks, mp_holistic.HAND_CONNECTIONS,
                                  mp_drawing.DrawingSpec(
                                      color=(121, 22, 76), thickness=2, circle_radius=4),
                                  mp_drawing.DrawingSpec(
                                      color=(121, 44, 250), thickness=2, circle_radius=2)
                                  )

        # 4. Pose Detections
        mp_drawing.draw_landmarks(image, results.pose_landmarks, mp_holistic.POSE_CONNECTIONS,
                                  mp_drawing.DrawingSpec(
                                      color=(245, 117, 66), thickness=2, circle_radius=4),
                                  mp_drawing.DrawingSpec(
                                      color=(245, 66, 230), thickness=2, circle_radius=2)
                                  )

        cv2.imshow('Raw Webcam Feed', image)

        if cv2.waitKey(10) & 0xFF == ord('q'):
            break

cap.release()
cv2.destroyAllWindows()