def _captureBayer(shutter_speed):
camera = None
try:
camera = PiCamera()
_setup_camera(camera, _max_resolution, shutter_speed, _iso)
rawCapture = PiBayerArray(camera)
print('capture...')
bayerCapture = PiBayerArray(camera)
camera.capture(bayerCapture, 'jpeg', bayer=True) # grab the 10 bit resolution with the raw bayer data
imageBayer = bayerCapture.demosaic()
print('done')
except:
if camera is None:
raise Exception('Failed to initialize PiCamera.')
else:
raise Exception('Failed to capture image.')
finally:
if camera is not None:
camera.close()
return imageBayer
def _captureBayer(shutter_speed):
camera = None
try:
camera = PiCamera()
_setup_camera(camera, _max_resolution, shutter_speed, _iso)
rawCapture = PiBayerArray(camera)
print("capture...")
bayerCapture = PiBayerArray(camera)
camera.capture(bayerCapture, "jpeg", bayer=True) # grab the 10 bit resolution with the raw bayer data
imageBayer = bayerCapture.demosaic()
print("done")
except:
if camera is None:
raise Exception("Failed to initialize PiCamera.")
else:
raise Exception("Failed to capture image.")
finally:
if camera is not None:
camera.close()
return imageBayer
class CamServer_CaptureHandler():
def __init__(self):
self.cam = PiCamera()
self.arr = PiBayerArray(self.cam)
def capture(self):
logging.info('Capturing frame from camera')
self.cam.capture(self.arr, 'jpeg', bayer=True)
return self.arr.demosaic()
camera.resolution = (2592, 1944) # max. resolution
camera.framerate = 1
camera.exposure_mode = 'off'
camera.shutter_speed = 50000 # microseconds
print("shutter", camera.shutter_speed)
g = camera.awb_gains # get some reasonable gains
camera.awb_mode = 'off'
camera.awb_gains = (1, 1) # (red, blue)
camera.iso = 10
print("iso", camera.iso)
# raw bayer capture
bayerCapture = PiBayerArray(camera)
camera.capture(
bayerCapture, 'jpeg',
bayer=True) # grab the 10 bit resolution with the raw bayer data
imageBayer = bayerCapture.demosaic()
#imageBayer = imageBayer / 4
#imageBayer = imageBayer.astype(np.uint8)
print(imageBayer)
#camera.capture(rawCapture, format="yuv") # using yuv instead of rgb
#camera.capture(rawCapture, format="bgr") # using yuv instead of rgb
image = imageBayer
imsave('bayer.tiff', image)
if args.settings_file is None:
# Set the camera up so white illumination doesn't saturate
cr.auto_expose_to_white(camera, led)
else:
cr.restore_settings(camera,
args.settings_file,
ignore=["lens_shading_table"])
print("Acquiring white image")
calibration_image = os.path.join(output_dir,
"calibration_image.jpg")
led.set_rgb(255, 255, 255)
time.sleep(1)
camera.capture(calibration_image, bayer=True)
with PiBayerArray(camera) as a, \
open(calibration_image, mode="rb") as jpg:
a.write(jpg.read())
a.flush()
raw_image = a.array.copy()
# Now we need to calculate a lens shading table that would make this flat.
# raw_image is a 3D array, with full resolution and 3 colour channels. No
# demosaicing has been done, so 2/3 of the values are zero (3/4 for R and B
# channels, 1/2 for green because there's twize as many green pixels).
channels = channels_from_bayer_array(raw_image)
lens_shading_table = lst_from_channels(channels)
cr.save_settings(
camera, os.path.join(output_dir,
"camera_settings_calibration.yaml"))
# fix camera parameters
camera.resolution = (2592,1944) # max. resolution
camera.framerate = 1
camera.exposure_mode = 'off'
camera.shutter_speed = 50000 # microseconds
print("shutter", camera.shutter_speed)
g = camera.awb_gains # get some reasonable gains
camera.awb_mode = 'off'
camera.awb_gains = (1,1) # (red, blue)
camera.iso = 10
print("iso", camera.iso)
# raw bayer capture
bayerCapture = PiBayerArray(camera)
camera.capture(bayerCapture, 'jpeg', bayer=True) # grab the 10 bit resolution with the raw bayer data
imageBayer = bayerCapture.demosaic()
#imageBayer = imageBayer / 4
#imageBayer = imageBayer.astype(np.uint8)
print(imageBayer)
#camera.capture(rawCapture, format="yuv") # using yuv instead of rgb
#camera.capture(rawCapture, format="bgr") # using yuv instead of rgb
image = imageBayer
imsave('bayer.tiff', image)
def __init__(self):
self.cam = PiCamera()
self.arr = PiBayerArray(self.cam)