{"id":15934,"url":"https://patchwork.libcamera.org/api/patches/15934/?format=json","web_url":"https://patchwork.libcamera.org/patch/15934/","project":{"id":1,"url":"https://patchwork.libcamera.org/api/projects/1/?format=json","name":"libcamera","link_name":"libcamera","list_id":"libcamera_core","list_email":"libcamera-devel@lists.libcamera.org","web_url":"","scm_url":"","webscm_url":""},"msgid":"<20220517143325.71784-11-tomi.valkeinen@ideasonboard.com>","date":"2022-05-17T14:33:22","name":"[libcamera-devel,v2,10/13] py: cam_qt: cosmetic cleanups","commit_ref":null,"pull_url":null,"state":"superseded","archived":false,"hash":"f8d4915c89ce6ff02e3356269dd80b3e0739556f","submitter":{"id":109,"url":"https://patchwork.libcamera.org/api/people/109/?format=json","name":"Tomi Valkeinen","email":"tomi.valkeinen@ideasonboard.com"},"delegate":null,"mbox":"https://patchwork.libcamera.org/patch/15934/mbox/","series":[{"id":3116,"url":"https://patchwork.libcamera.org/api/series/3116/?format=json","web_url":"https://patchwork.libcamera.org/project/libcamera/list/?series=3116","date":"2022-05-17T14:33:12","name":"Misc Python bindings patches","version":2,"mbox":"https://patchwork.libcamera.org/series/3116/mbox/"}],"comments":"https://patchwork.libcamera.org/api/patches/15934/comments/","check":"pending","checks":"https://patchwork.libcamera.org/api/patches/15934/checks/","tags":{},"headers":{"Return-Path":"","X-Original-To":"parsemail@patchwork.libcamera.org","Delivered-To":"parsemail@patchwork.libcamera.org","Received":["from lancelot.ideasonboard.com (lancelot.ideasonboard.com\n\t[92.243.16.209])\n\tby patchwork.libcamera.org (Postfix) with ESMTPS id 662F1C3272\n\tfor ;\n\tTue, 17 May 2022 14:34:01 +0000 (UTC)","from lancelot.ideasonboard.com (localhost [IPv6:::1])\n\tby lancelot.ideasonboard.com (Postfix) with ESMTP id 0F49865672;\n\tTue, 17 May 2022 16:34:01 +0200 (CEST)","from perceval.ideasonboard.com (perceval.ideasonboard.com\n\t[213.167.242.64])\n\tby lancelot.ideasonboard.com (Postfix) with ESMTPS id AABB765665\n\tfor ;\n\tTue, 17 May 2022 16:33:56 +0200 (CEST)","from deskari.lan (91-156-85-209.elisa-laajakaista.fi\n\t[91.156.85.209])\n\tby perceval.ideasonboard.com (Postfix) with ESMTPSA id 2641FEEE;\n\tTue, 17 May 2022 16:33:56 +0200 (CEST)"],"DKIM-Signature":["v=1; 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dkim=pass (1024-bit key; \n\tunprotected) header.d=ideasonboard.com\n\theader.i=@ideasonboard.com\n\theader.b=\"tz55ja+8\"; dkim-atps=neutral","To":"libcamera-devel@lists.libcamera.org,\n\tDavid Plowman ,\n\tKieran Bingham ,\n\tLaurent Pinchart ,\n\tJacopo Mondi ","Date":"Tue, 17 May 2022 17:33:22 +0300","Message-Id":"<20220517143325.71784-11-tomi.valkeinen@ideasonboard.com>","X-Mailer":"git-send-email 2.34.1","In-Reply-To":"<20220517143325.71784-1-tomi.valkeinen@ideasonboard.com>","References":"<20220517143325.71784-1-tomi.valkeinen@ideasonboard.com>","MIME-Version":"1.0","Content-Transfer-Encoding":"8bit","Subject":"[libcamera-devel] [PATCH v2 10/13] py: cam_qt: cosmetic cleanups","X-BeenThere":"libcamera-devel@lists.libcamera.org","X-Mailman-Version":"2.1.29","Precedence":"list","List-Id":"","List-Unsubscribe":",\n\t","List-Archive":"","List-Post":"","List-Help":"","List-Subscribe":",\n\t","From":"Tomi Valkeinen via libcamera-devel\n\t","Reply-To":"Tomi Valkeinen ","Errors-To":"libcamera-devel-bounces@lists.libcamera.org","Sender":"\"libcamera-devel\" "},"content":"Drop irrelevant or wrong comments, merge separate_components() into\ndemosaic(), and add mfb_to_rgb().\n\nNo functional changes.\n\nSigned-off-by: Tomi Valkeinen \n---\n src/py/cam/cam_qt.py | 64 +++++++++-----------------------------------\n 1 file changed, 13 insertions(+), 51 deletions(-)","diff":"diff --git a/src/py/cam/cam_qt.py b/src/py/cam/cam_qt.py\nindex 5753f0b2..fb485b9b 100644\n--- a/src/py/cam/cam_qt.py\n+++ b/src/py/cam/cam_qt.py\n@@ -19,19 +19,8 @@ def rgb_to_pix(rgb):\n return pix\n \n \n-def separate_components(data, r0, g0, g1, b0):\n- # Now to split the data up into its red, green, and blue components. The\n- # Bayer pattern of the OV5647 sensor is BGGR. In other words the first\n- # row contains alternating green/blue elements, the second row contains\n- # alternating red/green elements, and so on as illustrated below:\n- #\n- # GBGBGBGBGBGBGB\n- # RGRGRGRGRGRGRG\n- # GBGBGBGBGBGBGB\n- # RGRGRGRGRGRGRG\n- #\n- # Please note that if you use vflip or hflip to change the orientation\n- # of the capture, you must flip the Bayer pattern accordingly\n+def demosaic(data, r0, g0, g1, b0):\n+ # Separate the components from the Bayer data to RGB planes\n \n rgb = np.zeros(data.shape + (3,), dtype=data.dtype)\n rgb[r0[1]::2, r0[0]::2, 0] = data[r0[1]::2, r0[0]::2] # Red\n@@ -39,17 +28,9 @@ def separate_components(data, r0, g0, g1, b0):\n rgb[g1[1]::2, g1[0]::2, 1] = data[g1[1]::2, g1[0]::2] # Green\n rgb[b0[1]::2, b0[0]::2, 2] = data[b0[1]::2, b0[0]::2] # Blue\n \n- return rgb\n-\n-\n-def demosaic(rgb, r0, g0, g1, b0):\n- # At this point we now have the raw Bayer data with the correct values\n- # and colors but the data still requires de-mosaicing and\n- # post-processing. If you wish to do this yourself, end the script here!\n- #\n # Below we present a fairly naive de-mosaic method that simply\n # calculates the weighted average of a pixel based on the pixels\n- # surrounding it. The weighting is provided b0[1] a b0[1]te representation of\n+ # surrounding it. The weighting is provided by a byte representation of\n # the Bayer filter which we construct first:\n \n bayer = np.zeros(rgb.shape, dtype=np.uint8)\n@@ -69,29 +50,6 @@ def demosaic(rgb, r0, g0, g1, b0):\n borders = (window[0] - 1, window[1] - 1)\n border = (borders[0] // 2, borders[1] // 2)\n \n- # rgb_pad = np.zeros((\n- # rgb.shape[0] + borders[0],\n- # rgb.shape[1] + borders[1],\n- # rgb.shape[2]), dtype=rgb.dtype)\n- # rgb_pad[\n- # border[0]:rgb_pad.shape[0] - border[0],\n- # border[1]:rgb_pad.shape[1] - border[1],\n- # :] = rgb\n- # rgb = rgb_pad\n- #\n- # bayer_pad = np.zeros((\n- # bayer.shape[0] + borders[0],\n- # bayer.shape[1] + borders[1],\n- # bayer.shape[2]), dtype=bayer.dtype)\n- # bayer_pad[\n- # border[0]:bayer_pad.shape[0] - border[0],\n- # border[1]:bayer_pad.shape[1] - border[1],\n- # :] = bayer\n- # bayer = bayer_pad\n-\n- # In numpy >=1.7.0 just use np.pad (version in Raspbian is 1.6.2 at the\n- # time of writing...)\n- #\n rgb = np.pad(rgb, [\n (border[0], border[0]),\n (border[1], border[1]),\n@@ -168,7 +126,7 @@ def to_rgb(fmt, size, data):\n bayer_pattern = fmt[1:5]\n bitspp = int(fmt[5:])\n \n- # TODO: shifting leaves the lowest bits 0\n+ # \\todo shifting leaves the lowest bits 0\n if bitspp == 8:\n data = data.reshape((h, w))\n data = data.astype(np.uint16) << 8\n@@ -195,8 +153,7 @@ def to_rgb(fmt, size, data):\n assert(idx != -1)\n b0 = (idx % 2, idx // 2)\n \n- rgb = separate_components(data, r0, g0, g1, b0)\n- rgb = demosaic(rgb, r0, g0, g1, b0)\n+ rgb = demosaic(data, r0, g0, g1, b0)\n rgb = (rgb >> 8).astype(np.uint8)\n \n else:\n@@ -205,6 +162,13 @@ def to_rgb(fmt, size, data):\n return rgb\n \n \n+# A naive format conversion to 24-bit RGB\n+def mfb_to_rgb(mfb, cfg):\n+ data = np.array(mfb.planes[0], dtype=np.uint8)\n+ rgb = to_rgb(cfg.pixel_format, cfg.size, data)\n+ return rgb\n+\n+\n class QtRenderer:\n def __init__(self, state):\n self.state = state\n@@ -334,9 +298,7 @@ class MainWindow(QtWidgets.QWidget):\n qim = ImageQt(img).copy()\n pix = QtGui.QPixmap.fromImage(qim)\n else:\n- data = np.array(mfb.planes[0], dtype=np.uint8)\n- rgb = to_rgb(cfg.pixel_format, cfg.size, data)\n-\n+ rgb = mfb_to_rgb(mfb, cfg)\n if rgb is None:\n raise Exception('Format not supported: ' + cfg.pixel_format)\n \n","prefixes":["libcamera-devel","v2","10/13"]}