2915828adf
- Interactive mission selector with metadata-driven design - 5 educational missions (basics + advanced) - AI assistant roles (Deepbit, Bugsy, Schnippsi, Tobi) - SnakeCam gesture recognition system - Token tracking utilities - CLAUDE.md documentation - .gitignore for logs and secrets
30 lines
786 B
Python
Executable File
30 lines
786 B
Python
Executable File
import cv2
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import numpy as np
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def detect_hand_gesture(frame):
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x, y, w, h = 100, 100, 200, 150
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roi = frame[y:y+h, x:x+w]
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hsv = cv2.cvtColor(roi, cv2.COLOR_BGR2HSV)
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# Hautfarbe grob einschränken
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lower_skin = np.array([0, 30, 60], dtype=np.uint8)
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upper_skin = np.array([20, 150, 255], dtype=np.uint8)
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mask = cv2.inRange(hsv, lower_skin, upper_skin)
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mask = cv2.GaussianBlur(mask, (5, 5), 0)
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contours, _ = cv2.findContours(mask, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
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gesture = "none"
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if contours:
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contour = max(contours, key=cv2.contourArea)
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area = cv2.contourArea(contour)
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if area > 3000:
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print(f"[debug] Fläche erkannt: {int(area)}")
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gesture = "hand"
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return gesture, (x, y, w, h)
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