From 11a271b29234e0271c9cf83aefc529dc1e0b3cc3 Mon Sep 17 00:00:00 2001 From: Tomi Valkeinen Date: Wed, 18 May 2022 16:13:22 +0300 Subject: 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 Reviewed-by: Laurent Pinchart Reviewed-by: Kieran Bingham Signed-off-by: Laurent Pinchart --- src/py/cam/cam_qt.py | 64 +++++++++++----------------------------------------- 1 file changed, 13 insertions(+), 51 deletions(-) (limited to 'src/py/cam') diff --git a/src/py/cam/cam_qt.py b/src/py/cam/cam_qt.py index 5753f0b2..fb485b9b 100644 --- a/src/py/cam/cam_qt.py +++ b/src/py/cam/cam_qt.py @@ -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) -- cgit v1.2.1