import bugv4l as bg
# open the bug camera as a 640x480 image
bg.open(dev_code=bg.V4L2_DEVNODE_RAW,
raw_fmt=bg.format(640, 480,bg.V4L2_PIX_FMT_SGRBG8))
# put in walking 1's test pattern mode
bg.set_ctrl(bg.V4L2_CID_TEST_PATTERN, 1)
# start the image stream
bg.start()
# capture an image
img = bg.grab()
# copy data into a python string so we can use it after closing down the stream
data = img.get_data()
# stop the stream and close the bug camera
bg.stop()
bg.close()
# now compare the captured data to ideal test pattern
base_pattern = '\x00\x00\x01\x01\x02\x02\x04\x04\x08\x08\x10\x10 @@\x80\x80\xff\xff'
N = len(base_pattern)
ideal = base_pattern * (len(data)/N)
print "Captured Test Pattern is correct: ", (ideal == data)
bg.set_red_led(True)
os.system("sleep 2")
bg.set_red_led(False)
bg.set_green_led(True)
os.system("sleep 2")
bg.set_green_led(False)
os.system("cp /usr/images/startingcamera.fb /dev/fb0")
# start the image stream
bg.start()
# capture some image
for i in range(50):
yuv_img = bg.grab()
rgb_img = bg.yuv2rgba(yuv_img, downby2=True);
filename = "fb.raw"
f = open(filename, "w");
f.write(rgb_img);
f.close()
os.system("cp fb.raw /dev/fb0")
print("Wrote image %d" % i)
# switch to full res
bg.stop()
bg.close()