summaryrefslogtreecommitdiff
path: root/Documentation/media/v4l-drivers/ipu3.rst
diff options
context:
space:
mode:
Diffstat (limited to 'Documentation/media/v4l-drivers/ipu3.rst')
-rw-r--r--Documentation/media/v4l-drivers/ipu3.rst369
1 files changed, 0 insertions, 369 deletions
diff --git a/Documentation/media/v4l-drivers/ipu3.rst b/Documentation/media/v4l-drivers/ipu3.rst
deleted file mode 100644
index f89b51dafadd..000000000000
--- a/Documentation/media/v4l-drivers/ipu3.rst
+++ /dev/null
@@ -1,369 +0,0 @@
-.. include:: <isonum.txt>
-
-===============================================================
-Intel Image Processing Unit 3 (IPU3) Imaging Unit (ImgU) driver
-===============================================================
-
-Copyright |copy| 2018 Intel Corporation
-
-Introduction
-============
-
-This file documents the Intel IPU3 (3rd generation Image Processing Unit)
-Imaging Unit drivers located under drivers/media/pci/intel/ipu3 (CIO2) as well
-as under drivers/staging/media/ipu3 (ImgU).
-
-The Intel IPU3 found in certain Kaby Lake (as well as certain Sky Lake)
-platforms (U/Y processor lines) is made up of two parts namely the Imaging Unit
-(ImgU) and the CIO2 device (MIPI CSI2 receiver).
-
-The CIO2 device receives the raw Bayer data from the sensors and outputs the
-frames in a format that is specific to the IPU3 (for consumption by the IPU3
-ImgU). The CIO2 driver is available as drivers/media/pci/intel/ipu3/ipu3-cio2*
-and is enabled through the CONFIG_VIDEO_IPU3_CIO2 config option.
-
-The Imaging Unit (ImgU) is responsible for processing images captured
-by the IPU3 CIO2 device. The ImgU driver sources can be found under
-drivers/staging/media/ipu3 directory. The driver is enabled through the
-CONFIG_VIDEO_IPU3_IMGU config option.
-
-The two driver modules are named ipu3_csi2 and ipu3_imgu, respectively.
-
-The drivers has been tested on Kaby Lake platforms (U/Y processor lines).
-
-Both of the drivers implement V4L2, Media Controller and V4L2 sub-device
-interfaces. The IPU3 CIO2 driver supports camera sensors connected to the CIO2
-MIPI CSI-2 interfaces through V4L2 sub-device sensor drivers.
-
-CIO2
-====
-
-The CIO2 is represented as a single V4L2 subdev, which provides a V4L2 subdev
-interface to the user space. There is a video node for each CSI-2 receiver,
-with a single media controller interface for the entire device.
-
-The CIO2 contains four independent capture channel, each with its own MIPI CSI-2
-receiver and DMA engine. Each channel is modelled as a V4L2 sub-device exposed
-to userspace as a V4L2 sub-device node and has two pads:
-
-.. tabularcolumns:: |p{0.8cm}|p{4.0cm}|p{4.0cm}|
-
-.. flat-table::
-
- * - pad
- - direction
- - purpose
-
- * - 0
- - sink
- - MIPI CSI-2 input, connected to the sensor subdev
-
- * - 1
- - source
- - Raw video capture, connected to the V4L2 video interface
-
-The V4L2 video interfaces model the DMA engines. They are exposed to userspace
-as V4L2 video device nodes.
-
-Capturing frames in raw Bayer format
-------------------------------------
-
-CIO2 MIPI CSI2 receiver is used to capture frames (in packed raw Bayer format)
-from the raw sensors connected to the CSI2 ports. The captured frames are used
-as input to the ImgU driver.
-
-Image processing using IPU3 ImgU requires tools such as raw2pnm [#f1]_, and
-yavta [#f2]_ due to the following unique requirements and / or features specific
-to IPU3.
-
--- The IPU3 CSI2 receiver outputs the captured frames from the sensor in packed
-raw Bayer format that is specific to IPU3.
-
--- Multiple video nodes have to be operated simultaneously.
-
-Let us take the example of ov5670 sensor connected to CSI2 port 0, for a
-2592x1944 image capture.
-
-Using the media contorller APIs, the ov5670 sensor is configured to send
-frames in packed raw Bayer format to IPU3 CSI2 receiver.
-
-# This example assumes /dev/media0 as the CIO2 media device
-
-export MDEV=/dev/media0
-
-# and that ov5670 sensor is connected to i2c bus 10 with address 0x36
-
-export SDEV=$(media-ctl -d $MDEV -e "ov5670 10-0036")
-
-# Establish the link for the media devices using media-ctl [#f3]_
-media-ctl -d $MDEV -l "ov5670:0 -> ipu3-csi2 0:0[1]"
-
-# Set the format for the media devices
-media-ctl -d $MDEV -V "ov5670:0 [fmt:SGRBG10/2592x1944]"
-
-media-ctl -d $MDEV -V "ipu3-csi2 0:0 [fmt:SGRBG10/2592x1944]"
-
-media-ctl -d $MDEV -V "ipu3-csi2 0:1 [fmt:SGRBG10/2592x1944]"
-
-Once the media pipeline is configured, desired sensor specific settings
-(such as exposure and gain settings) can be set, using the yavta tool.
-
-e.g
-
-yavta -w 0x009e0903 444 $SDEV
-
-yavta -w 0x009e0913 1024 $SDEV
-
-yavta -w 0x009e0911 2046 $SDEV
-
-Once the desired sensor settings are set, frame captures can be done as below.
-
-e.g
-
-yavta --data-prefix -u -c10 -n5 -I -s2592x1944 --file=/tmp/frame-#.bin \
- -f IPU3_SGRBG10 $(media-ctl -d $MDEV -e "ipu3-cio2 0")
-
-With the above command, 10 frames are captured at 2592x1944 resolution, with
-sGRBG10 format and output as IPU3_SGRBG10 format.
-
-The captured frames are available as /tmp/frame-#.bin files.
-
-ImgU
-====
-
-The ImgU is represented as two V4L2 subdevs, each of which provides a V4L2
-subdev interface to the user space.
-
-Each V4L2 subdev represents a pipe, which can support a maximum of 2 streams.
-This helps to support advanced camera features like Continuous View Finder (CVF)
-and Snapshot During Video(SDV).
-
-The ImgU contains two independent pipes, each modelled as a V4L2 sub-device
-exposed to userspace as a V4L2 sub-device node.
-
-Each pipe has two sink pads and three source pads for the following purpose:
-
-.. tabularcolumns:: |p{0.8cm}|p{4.0cm}|p{4.0cm}|
-
-.. flat-table::
-
- * - pad
- - direction
- - purpose
-
- * - 0
- - sink
- - Input raw video stream
-
- * - 1
- - sink
- - Processing parameters
-
- * - 2
- - source
- - Output processed video stream
-
- * - 3
- - source
- - Output viewfinder video stream
-
- * - 4
- - source
- - 3A statistics
-
-Each pad is connected to a corresponding V4L2 video interface, exposed to
-userspace as a V4L2 video device node.
-
-Device operation
-----------------
-
-With ImgU, once the input video node ("ipu3-imgu 0/1":0, in
-<entity>:<pad-number> format) is queued with buffer (in packed raw Bayer
-format), ImgU starts processing the buffer and produces the video output in YUV
-format and statistics output on respective output nodes. The driver is expected
-to have buffers ready for all of parameter, output and statistics nodes, when
-input video node is queued with buffer.
-
-At a minimum, all of input, main output, 3A statistics and viewfinder
-video nodes should be enabled for IPU3 to start image processing.
-
-Each ImgU V4L2 subdev has the following set of video nodes.
-
-input, output and viewfinder video nodes
-----------------------------------------
-
-The frames (in packed raw Bayer format specific to the IPU3) received by the
-input video node is processed by the IPU3 Imaging Unit and are output to 2 video
-nodes, with each targeting a different purpose (main output and viewfinder
-output).
-
-Details onand the Bayer format specific to the IPU3 can be found in
-:ref:`v4l2-pix-fmt-ipu3-sbggr10`.
-
-The driver supports V4L2 Video Capture Interface as defined at :ref:`devices`.
-
-Only the multi-planar API is supported. More details can be found at
-:ref:`planar-apis`.
-
-Parameters video node
----------------------
-
-The parameters video node receives the ImgU algorithm parameters that are used
-to configure how the ImgU algorithms process the image.
-
-Details on processing parameters specific to the IPU3 can be found in
-:ref:`v4l2-meta-fmt-params`.
-
-3A statistics video node
-------------------------
-
-3A statistics video node is used by the ImgU driver to output the 3A (auto
-focus, auto exposure and auto white balance) statistics for the frames that are
-being processed by the ImgU to user space applications. User space applications
-can use this statistics data to compute the desired algorithm parameters for
-the ImgU.
-
-Configuring the Intel IPU3
-==========================
-
-The IPU3 ImgU pipelines can be configured using the Media Controller, defined at
-:ref:`media_controller`.
-
-Firmware binary selection
--------------------------
-
-The firmware binary is selected using the V4L2_CID_INTEL_IPU3_MODE, currently
-defined in drivers/staging/media/ipu3/include/intel-ipu3.h . "VIDEO" and "STILL"
-modes are available.
-
-Processing the image in raw Bayer format
-----------------------------------------
-
-Configuring ImgU V4L2 subdev for image processing
-~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
-
-The ImgU V4L2 subdevs have to be configured with media controller APIs to have
-all the video nodes setup correctly.
-
-Let us take "ipu3-imgu 0" subdev as an example.
-
-media-ctl -d $MDEV -r
-
-media-ctl -d $MDEV -l "ipu3-imgu 0 input":0 -> "ipu3-imgu 0":0[1]
-
-media-ctl -d $MDEV -l "ipu3-imgu 0":2 -> "ipu3-imgu 0 output":0[1]
-
-media-ctl -d $MDEV -l "ipu3-imgu 0":3 -> "ipu3-imgu 0 viewfinder":0[1]
-
-media-ctl -d $MDEV -l "ipu3-imgu 0":4 -> "ipu3-imgu 0 3a stat":0[1]
-
-Also the pipe mode of the corresponding V4L2 subdev should be set as desired
-(e.g 0 for video mode or 1 for still mode) through the control id 0x009819a1 as
-below.
-
-yavta -w "0x009819A1 1" /dev/v4l-subdev7
-
-RAW Bayer frames go through the following ImgU pipeline HW blocks to have the
-processed image output to the DDR memory.
-
-RAW Bayer frame -> Input Feeder -> Bayer Down Scaling (BDS) -> Geometric
-Distortion Correction (GDC) -> DDR
-
-The ImgU V4L2 subdev has to be configured with the supported resolutions in all
-the above HW blocks, for a given input resolution.
-
-For a given supported resolution for an input frame, the Input Feeder, Bayer
-Down Scaling and GDC blocks should be configured with the supported resolutions.
-This information can be obtained by looking at the following IPU3 ImgU
-configuration table.
-
-https://chromium.googlesource.com/chromiumos/overlays/board-overlays/+/master
-
-Under baseboard-poppy/media-libs/cros-camera-hal-configs-poppy/files/gcss
-directory, graph_settings_ov5670.xml can be used as an example.
-
-The following steps prepare the ImgU pipeline for the image processing.
-
-1. The ImgU V4L2 subdev data format should be set by using the
-VIDIOC_SUBDEV_S_FMT on pad 0, using the GDC width and height obtained above.
-
-2. The ImgU V4L2 subdev cropping should be set by using the
-VIDIOC_SUBDEV_S_SELECTION on pad 0, with V4L2_SEL_TGT_CROP as the target,
-using the input feeder height and width.
-
-3. The ImgU V4L2 subdev composing should be set by using the
-VIDIOC_SUBDEV_S_SELECTION on pad 0, with V4L2_SEL_TGT_COMPOSE as the target,
-using the BDS height and width.
-
-For the ov5670 example, for an input frame with a resolution of 2592x1944
-(which is input to the ImgU subdev pad 0), the corresponding resolutions
-for input feeder, BDS and GDC are 2592x1944, 2592x1944 and 2560x1920
-respectively.
-
-Once this is done, the received raw Bayer frames can be input to the ImgU
-V4L2 subdev as below, using the open source application v4l2n [#f1]_.
-
-For an image captured with 2592x1944 [#f4]_ resolution, with desired output
-resolution as 2560x1920 and viewfinder resolution as 2560x1920, the following
-v4l2n command can be used. This helps process the raw Bayer frames and produces
-the desired results for the main output image and the viewfinder output, in NV12
-format.
-
-v4l2n --pipe=4 --load=/tmp/frame-#.bin --open=/dev/video4
---fmt=type:VIDEO_OUTPUT_MPLANE,width=2592,height=1944,pixelformat=0X47337069
---reqbufs=type:VIDEO_OUTPUT_MPLANE,count:1 --pipe=1 --output=/tmp/frames.out
---open=/dev/video5
---fmt=type:VIDEO_CAPTURE_MPLANE,width=2560,height=1920,pixelformat=NV12
---reqbufs=type:VIDEO_CAPTURE_MPLANE,count:1 --pipe=2 --output=/tmp/frames.vf
---open=/dev/video6
---fmt=type:VIDEO_CAPTURE_MPLANE,width=2560,height=1920,pixelformat=NV12
---reqbufs=type:VIDEO_CAPTURE_MPLANE,count:1 --pipe=3 --open=/dev/video7
---output=/tmp/frames.3A --fmt=type:META_CAPTURE,?
---reqbufs=count:1,type:META_CAPTURE --pipe=1,2,3,4 --stream=5
-
-where /dev/video4, /dev/video5, /dev/video6 and /dev/video7 devices point to
-input, output, viewfinder and 3A statistics video nodes respectively.
-
-Converting the raw Bayer image into YUV domain
-----------------------------------------------
-
-The processed images after the above step, can be converted to YUV domain
-as below.
-
-Main output frames
-~~~~~~~~~~~~~~~~~~
-
-raw2pnm -x2560 -y1920 -fNV12 /tmp/frames.out /tmp/frames.out.ppm
-
-where 2560x1920 is output resolution, NV12 is the video format, followed
-by input frame and output PNM file.
-
-Viewfinder output frames
-~~~~~~~~~~~~~~~~~~~~~~~~
-
-raw2pnm -x2560 -y1920 -fNV12 /tmp/frames.vf /tmp/frames.vf.ppm
-
-where 2560x1920 is output resolution, NV12 is the video format, followed
-by input frame and output PNM file.
-
-Example user space code for IPU3
-================================
-
-User space code that configures and uses IPU3 is available here.
-
-https://chromium.googlesource.com/chromiumos/platform/arc-camera/+/master/
-
-The source can be located under hal/intel directory.
-
-References
-==========
-
-.. [#f5] include/uapi/linux/intel-ipu3.h
-
-.. [#f1] https://github.com/intel/nvt
-
-.. [#f2] http://git.ideasonboard.org/yavta.git
-
-.. [#f3] http://git.ideasonboard.org/?p=media-ctl.git;a=summary
-
-.. [#f4] ImgU limitation requires an additional 16x16 for all input resolutions