Initial commit

skeleton/mediapipe_detector.py

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+import cv2
+import mediapipe as mp
+import numpy as np
+
+class MediaPipeDetector:
+    def __init__(self, model_complexity=1, min_detection_confidence=0.5):
+        self.mp_pose = mp.solutions.pose
+        self.pose = self.mp_pose.Pose(
+            static_image_mode=False,
+            model_complexity=model_complexity,
+            enable_segmentation=False,
+            min_detection_confidence=min_detection_confidence
+        )
+        self.mp_drawing = mp.solutions.drawing_utils
+
+    def detect(self, image):
+        """Возвращает словарь с ключами: success, landmarks (33,4), pose_landmarks (для отрисовки)"""
+        rgb = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
+        results = self.pose.process(rgb)
+
+        if results.pose_landmarks:
+            h, w, _ = image.shape
+            landmarks = []
+            for lm in results.pose_landmarks.landmark:
+                x = lm.x * w
+                y = lm.y * h
+                z = lm.z
+                v = lm.visibility
+                landmarks.append([x, y, z, v])
+            landmarks = np.array(landmarks, dtype=np.float32)
+            return {'success': True, 'landmarks': landmarks, 'pose_landmarks': results.pose_landmarks}
+        else:
+            return {'success': False, 'landmarks': None, 'pose_landmarks': None}
+
+    def draw_landmarks(self, image, pose_landmarks):
+        """Рисует скелет на копии изображения и возвращает её"""
+        if pose_landmarks is None:
+            return image.copy()
+        vis = image.copy()
+        self.mp_drawing.draw_landmarks(vis, pose_landmarks, self.mp_pose.POSE_CONNECTIONS)
+        return vis