py: cam_qt: Cosmetic cleanups

Drop irrelevant or wrong comments, merge separate_components() into
demosaic(), and add mfb_to_rgb().

No functional changes.

Signed-off-by: Tomi Valkeinen <tomi.valkeinen@ideasonboard.com>
Reviewed-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com>
Reviewed-by: Kieran Bingham <kieran.bingham@ideasonboard.com>
Signed-off-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com>
This commit is contained in:
Tomi Valkeinen 2022-05-18 16:13:22 +03:00 committed by Laurent Pinchart
parent b7c78879cc
commit 11a271b292

View file

@ -19,19 +19,8 @@ def rgb_to_pix(rgb):
return pix
def separate_components(data, r0, g0, g1, b0):
# Now to split the data up into its red, green, and blue components. The
# Bayer pattern of the OV5647 sensor is BGGR. In other words the first
# row contains alternating green/blue elements, the second row contains
# alternating red/green elements, and so on as illustrated below:
#
# GBGBGBGBGBGBGB
# RGRGRGRGRGRGRG
# GBGBGBGBGBGBGB
# RGRGRGRGRGRGRG
#
# Please note that if you use vflip or hflip to change the orientation
# of the capture, you must flip the Bayer pattern accordingly
def demosaic(data, r0, g0, g1, b0):
# Separate the components from the Bayer data to RGB planes
rgb = np.zeros(data.shape + (3,), dtype=data.dtype)
rgb[r0[1]::2, r0[0]::2, 0] = data[r0[1]::2, r0[0]::2] # Red
@ -39,17 +28,9 @@ def separate_components(data, r0, g0, g1, b0):
rgb[g1[1]::2, g1[0]::2, 1] = data[g1[1]::2, g1[0]::2] # Green
rgb[b0[1]::2, b0[0]::2, 2] = data[b0[1]::2, b0[0]::2] # Blue
return rgb
def demosaic(rgb, r0, g0, g1, b0):
# At this point we now have the raw Bayer data with the correct values
# and colors but the data still requires de-mosaicing and
# post-processing. If you wish to do this yourself, end the script here!
#
# Below we present a fairly naive de-mosaic method that simply
# calculates the weighted average of a pixel based on the pixels
# surrounding it. The weighting is provided b0[1] a b0[1]te representation of
# surrounding it. The weighting is provided by a byte representation of
# the Bayer filter which we construct first:
bayer = np.zeros(rgb.shape, dtype=np.uint8)
@ -69,29 +50,6 @@ def demosaic(rgb, r0, g0, g1, b0):
borders = (window[0] - 1, window[1] - 1)
border = (borders[0] // 2, borders[1] // 2)
# rgb_pad = np.zeros((
# rgb.shape[0] + borders[0],
# rgb.shape[1] + borders[1],
# rgb.shape[2]), dtype=rgb.dtype)
# rgb_pad[
# border[0]:rgb_pad.shape[0] - border[0],
# border[1]:rgb_pad.shape[1] - border[1],
# :] = rgb
# rgb = rgb_pad
#
# bayer_pad = np.zeros((
# bayer.shape[0] + borders[0],
# bayer.shape[1] + borders[1],
# bayer.shape[2]), dtype=bayer.dtype)
# bayer_pad[
# border[0]:bayer_pad.shape[0] - border[0],
# border[1]:bayer_pad.shape[1] - border[1],
# :] = bayer
# bayer = bayer_pad
# In numpy >=1.7.0 just use np.pad (version in Raspbian is 1.6.2 at the
# time of writing...)
#
rgb = np.pad(rgb, [
(border[0], border[0]),
(border[1], border[1]),
@ -168,7 +126,7 @@ def to_rgb(fmt, size, data):
bayer_pattern = fmt[1:5]
bitspp = int(fmt[5:])
# TODO: shifting leaves the lowest bits 0
# \todo shifting leaves the lowest bits 0
if bitspp == 8:
data = data.reshape((h, w))
data = data.astype(np.uint16) << 8
@ -195,8 +153,7 @@ def to_rgb(fmt, size, data):
assert(idx != -1)
b0 = (idx % 2, idx // 2)
rgb = separate_components(data, r0, g0, g1, b0)
rgb = demosaic(rgb, r0, g0, g1, b0)
rgb = demosaic(data, r0, g0, g1, b0)
rgb = (rgb >> 8).astype(np.uint8)
else:
@ -205,6 +162,13 @@ def to_rgb(fmt, size, data):
return rgb
# A naive format conversion to 24-bit RGB
def mfb_to_rgb(mfb, cfg):
data = np.array(mfb.planes[0], dtype=np.uint8)
rgb = to_rgb(cfg.pixel_format, cfg.size, data)
return rgb
class QtRenderer:
def __init__(self, state):
self.state = state
@ -334,9 +298,7 @@ class MainWindow(QtWidgets.QWidget):
qim = ImageQt(img).copy()
pix = QtGui.QPixmap.fromImage(qim)
else:
data = np.array(mfb.planes[0], dtype=np.uint8)
rgb = to_rgb(cfg.pixel_format, cfg.size, data)
rgb = mfb_to_rgb(mfb, cfg)
if rgb is None:
raise Exception('Format not supported: ' + cfg.pixel_format)