# Display the resulting frame
#cv2.imshow('frame', BGR_frame)
# Record a video
# out.write(frame)
if cv2.waitKey(1) & 0xFF == ord('c'):
cv2.imwrite("calibration.jpg", BGR_frame)
print "Calibrating"
fingers = ax.calibrate(BGR_frame, hull, indices, cnt, palmCenter)
for finger in fingers:
cv2.circle(BGR_frame, finger, 5, [0, 0, 255], 2)
img_pts = ax.get_img_pts(fingers, palmCenter)
axis = ax.get_axis_2d(img_pts)
cv2.line(BGR_frame, axis[3], axis[0], (255, 0, 0), 5)
cv2.line(BGR_frame, axis[3], axis[1], (0, 255, 0), 5)
cv2.line(BGR_frame, axis[3], axis[2], (0, 0, 255), 5)
cv2.imshow('frame', BGR_frame)
curr_time = time.time()
else:
if ax.calibrated:
# calibrating again each time actually seems to work better idk
#fingers = ax.calibrate(BGR_frame, hull, palmCenter)
fingers = ax.find_fingers(
BGR_frame, hull, indices, cnt,
palmCenter) #ax.calibrate(BGR_frame, hull, palmCenter)
