HandRecognition.py 文件源码

def hand_capture(frame_in,box_x,box_y):
    hsv = cv2.cvtColor(frame_in, cv2.COLOR_BGR2HSV)
    ROI = np.zeros([capture_box_dim*capture_box_count,capture_box_dim,3], dtype=hsv.dtype)
    for i in xrange(capture_box_count):
        ROI[i*capture_box_dim:i*capture_box_dim+capture_box_dim,0:capture_box_dim] = hsv[box_y[i]:box_y[i]+capture_box_dim,box_x[i]:box_x[i]+capture_box_dim]
    hand_hist = cv2.calcHist([ROI],[0, 1], None, [180, 256], [0, 180, 0, 256])
    cv2.normalize(hand_hist,hand_hist, 0, 255, cv2.NORM_MINMAX)
    return hand_hist

# 2. Filters and threshold