Initial commit

OpenCV/tutoriel3/visage_camera_raspberry.py

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+import numpy as np
+import cv2
+import picamera
+import picamera.array
+
+WIDTH=640
+HEIGHT=480
+
+face_cascade=cv2.CascadeClassifier("./haarcascade_frontalface_alt2.xml")
+with picamera.PiCamera() as camera:
+    with picamera.array.PiRGBArray(camera) as stream:
+        camera.resolution=(WIDTH, HEIGHT)
+        while True:
+            camera.capture(stream, 'bgr', use_video_port=True)
+            tickmark=cv2.getTickCount()
+            gray=cv2.cvtColor(stream.array, cv2.COLOR_BGR2GRAY)
+            face=face_cascade.detectMultiScale(gray, scaleFactor=1.3, minNeighbors=4)
+            for x, y, w, h in face:
+                cv2.rectangle(stream.array, (x, y), (x+w, y+h), (255, 0, 0), 2)
+            if cv2.waitKey(1)&0xFF==ord('q'):
+                break
+            fps=cv2.getTickFrequency()/(cv2.getTickCount()-tickmark)
+            cv2.putText(stream.array, "FPS: {:05.2f}".format(fps), (10, 30), cv2.FONT_HERSHEY_PLAIN, 2, (255, 0, 0), 2)
+            cv2.imshow('video', stream.array)
+            stream.seek(0)
+            stream.truncate()
+cv2.destroyAllWindows()