feat: add example script from website

src/main.py

@@ -0,0 +1,48 @@
+import cv2
+import mediapipe as mp
+
+mp_drawing = mp.solutions.drawing_utils  # type: ignore
+mp_drawing_styles = mp.solutions.drawing_styles  # type: ignore
+mp_holistic = mp.solutions.holistic  # type: ignore
+
+# open webcam
+cap = cv2.VideoCapture(0)
+
+with mp_holistic.Holistic(min_detection_confidence=0.5, min_tracking_confidence=0.5) as holistic:
+    while cap.isOpened():
+        # read webcam
+        success, image = cap.read()
+        if not success:
+            print("Ignoring empty camera frame.")
+            # If loading a video, use 'break' instead of 'continue'
+            continue
+
+        # to improve performance, optionally mark the image as not writeable to pass by reference
+        image.flags.writeable = False
+        image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
+        results = holistic.process(image)
+
+        # draw landmark annotation on the image
+        image.flags.writeable = True
+        image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
+        mp_drawing.draw_landmarks(
+            image,
+            results.face_landmarks,
+            mp_holistic.FACEMESH_CONTOURS,
+            landmark_drawing_spec=None,
+            connection_drawing_spec=mp_drawing_styles.get_default_face_mesh_contours_style(),
+        )
+        mp_drawing.draw_landmarks(
+            image,
+            results.pose_landmarks,
+            mp_holistic.POSE_CONNECTIONS,
+            landmark_drawing_spec=mp_drawing_styles.get_default_pose_landmarks_style(),
+        )
+
+        # flip the image horizontally for a selfie-view display.
+        cv2.imshow("MediaPipe Holistic", cv2.flip(image, 1))
+        if cv2.waitKey(5) & 0xFF == 27:
+            break
+
+# close webcam
+cap.release()