Exemplo com opencv

2_MediaPipe-Object-Detections.py

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+"""
+Data Scientist.: Dr.Eddy Giusepe Chirinos Isidro
+"""
+import mediapipe as mp
+import cv2
+#from google.colab.patches import cv2_imshow
+
+mp_drawing = mp.solutions.drawing_utils
+mp_holistic = mp.solutions.holistic
+
+
+image = cv2.imread('workout.png')
+cv2.imshow('Image', image)
+cv2.waitKey(0)
+#cv2.destroyAllWindows()
+
+
+# Executando detecções:
+with mp_holistic.Holistic(
+    static_image_mode=True, model_complexity=2, enable_segmentation=True, refine_face_landmarks=False) as holistic:
+
+    image = cv2.imread("workout.png")
+
+    # Convert the BGR image to RGB before processing.
+    image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
+    image_recolored = holistic.process(image)
+
+    # Drawing landmarks on the image.
+    annotated_image = image.copy()
+    image = cv2.cvtColor(annotated_image, cv2.COLOR_BGR2RGB)
+
+    # Drawing facial landmarks
+    mp_drawing.draw_landmarks(image, image_recolored.face_landmarks, mp_holistic.FACEMESH_TESSELATION)
+
+    # Drawing pose landmarks
+    mp_drawing.draw_landmarks(image, image_recolored.pose_landmarks, mp_holistic.POSE_CONNECTIONS)
+
+    # Drawing the right hand landmarks
+    mp_drawing.draw_landmarks(image, image_recolored.right_hand_landmarks, mp_holistic.HAND_CONNECTIONS)
+
+    # Drawing the left hand landmarks
+    mp_drawing.draw_landmarks(image, image_recolored.left_hand_landmarks, mp_holistic.HAND_CONNECTIONS)
+
+
+    cv2.imshow("Image", image)
+    cv2.waitKey(0)
+    cv2.destroyAllWindows()