Toshiba TC358840 Linux driver for Jetson TX1 and TX2
|
|
|
|
|
TC358840 features
Reference: Toshiba TC358840 bridge chip
TC358840XBG, Ultra HD to CSI-2, bridge converts high resolution (higher than 4 Gbps) HDMI® stream to MIPI® CSI-2 Tx video. It is a follow-up device of TC358840XBG.
- Tested resolutions are 1280x720 and 1920x1080, both at 30 and 60 fps. The tested format is UYVY.
- TC358840 supports Dual links CSI-2 (CSI0 and CSI1), each link supports 4 data lanes @ 1 Gbps/data for Video resolution up to 4K×2K / 30fps (under development)
Build driver
This driver consists of a patch to the default kernel provided by Nvidia, so you must apply the patch to the kernel source code and compile it, to use the built kernel image with the supported driver. Please refer Compiling_Tegra_X1/X2_source_code for step-by-step instruction on how to compile Tegra X1/X2 source code.
Also, below you will find specific instructions on how to get the kernel source code, apply the driver patch, and compile it, for the different currently supported versions.
TX1 L4T-24.2 Kernel-3.10.96 Jetpack-3.0 version
Let's call $DEVDIR the path where you download the kernel.
1. In a browser, navigate to https://developer.nvidia.com/embedded/downloads, Locate and download the L4T Sources (L4T Sources 24.2.1 2016/11/21). Also, you can use wget command:
wget http://developer2.download.nvidia.com/embedded/L4T/r24_Release_v2.1/BSP/sources_r24.2.1.tbz2
2. Copy L4T kernel sources into DEVDIR.
cp sources_r24.2.1.tbz2 $DEVDIR
3. Expand tarball file.
tar -vxjf sources_r24.2.1.tbz2 # Decompress kernel cd sources/ sudo tar -xjf kernel_src.tbz2
4. Download tc358840-r24.2.1-j130.tar.gz file and apply the patches.
cp tc358840-r24.2.1-j130.tar.gz $DEVDIR cd $DEVDIR tar -xzvf tc358840-r24.2.1-j130.tar.gz quilt push -a
5. Compile the kernel. Specify the path to the toolchain and architecture: Compiling_Jetson_TX1/TX2_source_code#Toolchain
export CROSS_COMPILE=/opt/linaro/gcc-linaro-5.3-2016.02-x86_64_aarch64-linux-gnu/bin/aarch64-linux-gnu- export CROSS32CC=/opt/linaro/gcc-linaro-5.3-2016.02-x86_64_arm-linux-gnueabihf/bin/arm-linux-gnueabihf-gcc export ARCH=arm64
6. Define and create destination directories.
export TEGRA_KERNEL_OUT=/home/$USER/sources_tc358840/images export TEGRA_MODULES_OUT=/home/$USER/sources_tc358840/modules mkdir -p $TEGRA_KERNEL_OUT mkdir -p $TEGRA_MODULES_OUT
7. Configure your kernel
make -C sources/kernel/ O=$TEGRA_KERNEL_OUT tegra21_defconfig
8. Enable driver
make -C sources/kernel/ O=$TEGRA_KERNEL_OUT menuconfig
Select the driver. The menu option is located:
-> Device Drivers
-> Multimedia support (MEDIA_SUPPORT [=y])
-> Encoders, decoders, sensors and other helper chips
<*> Toshiba TC358840 decoder
Save your new configuration.
9. Compile kernel, device tree and modules. To speed up compilation on multiprocessor systems, use -j n, this option tells make to execute many recipes simultaneously.
make -C sources/kernel/ O=$TEGRA_KERNEL_OUT zImage make -C sources/kernel/ O=$TEGRA_KERNEL_OUT dtbs make -C sources/kernel/ O=$TEGRA_KERNEL_OUT modules make -C sources/kernel/ O=$TEGRA_KERNEL_OUT modules_install INSTALL_MOD_PATH=$TEGRA_MODULES_OUT
TX2 L4T-28.1 Kernel-4.4.38 Jetpack-3.1 version
1. Let's call $DEVDIR the path to "Linux for Tegra" where you have installed Jetpack 3.1.
export DEVDIR=$HOME/JetPack-L4T-3.1/64_TX2/Linux_for_Tegra_tx2
2. Download the kernel source code
cd $DEVDIR/ ./source_sync.sh
This will download the bootloader and kernel. When syncing, you'll be asked for a tag, let's use tegra-l4t-r28.1 for both Kernel and uboot.
3. Download tc358840-tx2-l4t28.1-j130.tar.gz file and apply the patches.
cp tc358840-tx2-l4t28.1-j130.tar.gz $DEVDIR/sources cd $DEVDIR/sources tar -xzvf tc358840-tx2-l4t28.1-j130.tar.gz quilt push -a
4. Compile the kernel. Specify the path to the toolchain and architecture: Compiling_Tegra_X1/X2_source_code#Toolchain
export CROSS_COMPILE=/opt/linaro/gcc-linaro-5.3-2016.02-x86_64_aarch64-linux-gnu/bin/aarch64-linux-gnu- export CROSS32CC=/opt/linaro/gcc-linaro-5.3-2016.02-x86_64_arm-linux-gnueabihf/bin/arm-linux-gnueabihf-gcc export ARCH=arm64
5. Define and create destination directories.
export TEGRA_KERNEL_OUT=/home/$USER/sources_tc358840/images export TEGRA_MODULES_OUT=/home/$USER/sources_tc358840/modules export TEGRA_FS_BOOT_DIR=/home/$USER/sources_tc358840/recompiled_image/boot export TEGRA_FS_LIB_DIR=/home/$USER/sources_tc358840/recompiled_image/lib mkdir -p $TEGRA_KERNEL_OUT mkdir -p $TEGRA_MODULES_OUT mkdir -p $TEGRA_FS_BOOT_DIR mkdir -p $TEGRA_FS_LIB_DIR
6. Configure your kernel
cd $DEVDIR/ make -C sources/kernel/kernel-4.4/ O=$TEGRA_KERNEL_OUT tegra18_defconfig
7. Enable driver
make -C sources/kernel/kernel-4.4/ O=$TEGRA_KERNEL_OUT menuconfig
Select the driver. The menu option is located:
-> Device Drivers
-> Multimedia support (MEDIA_SUPPORT [=y])
-> Encoders, decoders, sensors and other helper chips
<*> Toshiba TC358840 decoder
Save your new configuration.
8. Compile kernel, device tree, and modules. To speed up compilation on multiprocessor systems, use -j n, this option tells make to execute many recipes simultaneously.
make -C sources/kernel/kernel-4.4/ O=$TEGRA_KERNEL_OUT zImage make -C sources/kernel/kernel-4.4/ O=$TEGRA_KERNEL_OUT dtbs make -C sources/kernel/kernel-4.4/ O=$TEGRA_KERNEL_OUT modules make -C sources/kernel/kernel-4.4/ O=$TEGRA_KERNEL_OUT modules_install INSTALL_MOD_PATH=$TEGRA_MODULES_OUT
9. Save your compiled Kernel Image, modules, and device tree ready to flash to /boot and /lib directories of Tegra File System image:
cp $TEGRA_KERNEL_OUT/arch/arm64/boot/Image $TEGRA_KERNEL_OUT/arch/arm64/boot/zImage $TEGRA_FS_BOOT_DIR cp -r $TEGRA_KERNEL_OUT/arch/arm64/boot/dts/* $TEGRA_FS_BOOT_DIR cp -a $TEGRA_MODULES_OUT/lib/* $TEGRA_FS_LIB_DIR
10. Copy the recompiled kernel image, device tree, and modules to Tegra File System image:
sudo cp -a $TEGRA_FS_BOOT_DIR/* <TEGRA-DEVICE-ROOT-FS>/boot/ sudo cp -a $TEGRA_FS_LIB_DIR/* <TEGRA-DEVICE-ROOT-FS>/lib/
The <TEGRA-DEVICE-ROOT-FS> could be an SD card with the TX File System image or the EMMC of your TX containing the File System image.
11. Updating target DTB
In previous versions of jetpack, updating the DTB was as easy as replacing the on in the boot folder of the boot directory and you could also just change the FDT entry in /boot/extlinux/extlinux.conf to use a different one. For Jetpack 3.1 this was changed and a separate partition is used to flash the DTB file and Nvidia says you can only update it by flashing it again using the provided flash script.
- Replace the dtb in $DEVDIR/kernel/dtb/ with yours (you might want to make a backup of the original DTB, just in case):
cp $TEGRA_KERNEL_OUT/arch/arm64/boot/dts/tegra186-quill-p3310-1000-c03-00-base.dtb $DEVDIR/kernel/dtb/ cd $DEVDIR/ #Put the board into recovery mode and flash the DTB sudo ./flash.sh -r -k kernel-dtb jetson-tx2 mmcblk1p1 #if using SDcard sudo ./flash.sh -r -k kernel-dtb jetson-tx2 mmcblk0p1 #if using EMMC
TX2 L4T-28.2 Kernel-4.4.38+ Jetpack-3.2 version
1. Let's call $DEVDIR the path to "Linux for Tegra" where you have installed Jetpack 3.2.
export DEVDIR=$HOME/JetPack-L4T-3.2/64_TX2/Linux_for_Tegra_tx2
Download the kernel source code
2.1 RECOMMENDED
Download kernel sources from the next link:
https://developer.nvidia.com/embedded/dlc/sources-r2821#Getting_kernel
Untar the sources and copy kernel_src.tbz2 to $HOME/JetPack-L4T-3.2.1/64_TX2/Linux_for_Tegra/sources
tar -xf public_sources.tbz2 cd public_release/ cp kernel_src.tbz2 $HOME/JetPack-L4T-3.2.1/64_TX2/Linux_for_Tegra/sources cd $HOME/JetPack-L4T-3.2.1/64_TX2/Linux_for_Tegra/sources tar -xf kernel_src.tbz2
2.2 Option 2
cd $DEVDIR/ ./source_sync.sh
This will download the bootloader and kernel. When syncing, you'll be asked for a tag, let's use tegra-l4t-r28.1 for both Kernel and uboot.
3. Download tc358840-tx2-l4t28.2-j130.tar.gz file and apply the patches.
cp tc358840-tx2-l4t28.2-j130.tar.gz $DEVDIR/sources cd $DEVDIR/sources tar -xzvf tc358840-tx2-l4t28.2-j130.tar.gz quilt push -a
4. Compile the kernel. Specify the path to the toolchain and architecture: Compiling_Tegra_X1/X2_source_code#Toolchain
export CROSS_COMPILE=/opt/linaro/gcc-linaro-5.3-2016.02-x86_64_aarch64-linux-gnu/bin/aarch64-linux-gnu- export CROSS32CC=/opt/linaro/gcc-linaro-5.3-2016.02-x86_64_arm-linux-gnueabihf/bin/arm-linux-gnueabihf-gcc export ARCH=arm64
5. Define and create destination directories.
export TEGRA_KERNEL_OUT=/home/$USER/sources_tc358840/images export TEGRA_MODULES_OUT=/home/$USER/sources_tc358840/modules export TEGRA_FS_BOOT_DIR=/home/$USER/sources_tc358840/recompiled_image/boot export TEGRA_FS_LIB_DIR=/home/$USER/sources_tc358840/recompiled_image/lib mkdir -p $TEGRA_KERNEL_OUT mkdir -p $TEGRA_MODULES_OUT mkdir -p $TEGRA_FS_BOOT_DIR mkdir -p $TEGRA_FS_LIB_DIR
6. Configure your kernel
cd $DEVDIR/ make -C sources/kernel/kernel-4.4/ O=$TEGRA_KERNEL_OUT tegra18_defconfig
7. Enable driver
make -C sources/kernel/kernel-4.4/ O=$TEGRA_KERNEL_OUT menuconfig
Select the driver. The menu option is located:
-> Device Drivers
-> Multimedia support (MEDIA_SUPPORT [=y])
-> Encoders, decoders, sensors and other helper chips
<*> Toshiba TC358840 decoder
Save your new configuration.
8. Compile kernel, device tree and modules. To speed up compilation on multiprocessor systems, use -j n, this option tells make to execute many recipes simultaneously.
make -C sources/kernel/kernel-4.4/ O=$TEGRA_KERNEL_OUT zImage make -C sources/kernel/kernel-4.4/ O=$TEGRA_KERNEL_OUT dtbs make -C sources/kernel/kernel-4.4/ O=$TEGRA_KERNEL_OUT modules make -C sources/kernel/kernel-4.4/ O=$TEGRA_KERNEL_OUT modules_install INSTALL_MOD_PATH=$TEGRA_MODULES_OUT
9. Save your compiled Kernel Image, modules, and device tree ready to flash to /boot and /lib directories of Tegra File System image:
cp $TEGRA_KERNEL_OUT/arch/arm64/boot/Image $TEGRA_KERNEL_OUT/arch/arm64/boot/zImage $TEGRA_FS_BOOT_DIR cp -r $TEGRA_KERNEL_OUT/arch/arm64/boot/dts/* $TEGRA_FS_BOOT_DIR cp -a $TEGRA_MODULES_OUT/lib/* $TEGRA_FS_LIB_DIR
10. Copy the recompiled kernel image, device tree, and modules to Tegra File System image:
sudo cp -a $TEGRA_FS_BOOT_DIR/* <TEGRA-DEVICE-ROOT-FS>/boot/ sudo cp -a $TEGRA_FS_LIB_DIR/* <TEGRA-DEVICE-ROOT-FS>/lib/
The <TEGRA-DEVICE-ROOT-FS> could be an SD card with the TX File System image or the EMMC of your TX containing the File System image.
11. Updating target DTB
In previous versions of jetpack, updating the DTB was as easy as replacing the on in the boot folder of the boot directory and you could also just change the FDT entry in /boot/extlinux/extlinux.conf to use a different one. For Jetpack 3.1 this was changed and a separate partition is used to flash the DTB file and Nvidia says you can only update it by flashing it again using the provided flash script.
- Replace the dtb in $DEVDIR/kernel/dtb/ with yours (you might want to make a backup of the original DTB, just in case):
cp $TEGRA_KERNEL_OUT/arch/arm64/boot/dts/tegra186-quill-p3310-1000-c03-00-base.dtb $DEVDIR/kernel/dtb/ cd $DEVDIR/ #Put the board into recovery mode and flash the DTB sudo ./flash.sh -r -k kernel-dtb jetson-tx2 mmcblk1p1 #if using SDcard sudo ./flash.sh -r -k kernel-dtb jetson-tx2 mmcblk0p1 #if using EMMC
Examples
Yavta
Yavta (Yet Another V4L2 Test Application) can be used for testing the driver, according to the input video resolution:
./yavta /dev/video1 -c600 -n4 -s1920x1080 --enum-formats -fUYVY
v4l2-ctl
v4l2-ctl is an application to control video4linux drivers.
v4l2-ctl -d /dev/video1 --set-fmt-video=width=1920,height=1080, --set-ctrl bypass_mode=0 --stream-mmap --stream-count=600
GStreamer
Simple capture pipeline:
gst-launch-1.0 v4l2src device=/dev/video1 ! 'video/x-raw,format=UYVY,width=1920,height=1080' ! perf print-arm-load=true ! fakesink async=false sync=false enable-last-sample=false
 | NOTE: The "perf" element is just a performance profiling tool that gives information about the current CPU load and captures the framerate. If you don't have it and are interested in getting it, please contact us and we will provide it. Otherwise, just remove the "perf" element from the above pipeline, when executing it. |
Capture to Display pipeline (Live preview):
The following pipeline can be used to visualize the input video in the Jetson TX1/TX2:
DISPLAY=:0 gst-launch-1.0 v4l2src device=/dev/video1 do-timestamp=true ! \ perf print-arm-load=true ! 'video/x-raw,format=UYVY,width=1920,height=1080,framerate=60/1' ! \ nvvidconv ! 'video/x-raw(memory:NVMM),format=I420,width=1920,height=1080,framerate=60/1' ! \ nvoverlaysink async=false sync=false enable-last-sample=false -v
Performance Measurements
The following performance measurements were executed on a Jetson TX2 platform with L4T-28.1 Kernel-4.4.38 Jetpack-3.1 version on an Auvidea J130 board. The tests were performed after executing the "jetson_clocks.sh" script provided by default in standard Jetpack images. This script configures the TX in high-performance mode. The CPU load percentage measurement reported by perf is an average of the 4 ARM cores available in the TX2.
Simple capture pipeline at 1080p@60fps=
gst-launch-1.0 v4l2src device=/dev/video1 ! 'video/x-raw,format=UYVY,width=1920,height=1080,framerate=60/1' ! perf print-arm-load=true ! fakesink async=false sync=false enable-last-sample=false
INFO: Timestamp: 0:12:58.940864119; Bps: 4081889; fps: 60.3; CPU: 0; INFO: Timestamp: 0:12:59.957496320; Bps: 4081889; fps: 60.3; CPU: 0; INFO: Timestamp: 0:13:00.974133184; Bps: 4081889; fps: 60.3; CPU: 0; INFO: Timestamp: 0:13:01.990764211; Bps: 4081889; fps: 60.3; CPU: 0; INFO: Timestamp: 0:13:03.007399893; Bps: 4081889; fps: 60.3; CPU: 0; INFO: Timestamp: 0:13:04.024039268; Bps: 4081889; fps: 60.3; CPU: 1; INFO: Timestamp: 0:13:05.040669662; Bps: 4081889; fps: 60.3; CPU: 2; INFO: Timestamp: 0:13:06.057302655; Bps: 4081889; fps: 60.3; CPU: 1; INFO: Timestamp: 0:13:07.073937797; Bps: 4081889; fps: 60.3; CPU: 0; INFO: Timestamp: 0:13:08.090571214; Bps: 4081889; fps: 60.3; CPU: 0; INFO: Timestamp: 0:13:09.107213209; Bps: 4081889; fps: 60.3; CPU: 0; INFO: Timestamp: 0:13:10.123846273; Bps: 4081889; fps: 60.3; CPU: 0; INFO: Timestamp: 0:13:11.140480709; Bps: 4081889; fps: 60.3; CPU: 0; INFO: Timestamp: 0:13:12.157117219; Bps: 4081889; fps: 60.3; CPU: 0; INFO: Timestamp: 0:13:13.173759285; Bps: 4081889; fps: 60.3; CPU: 0; INFO: Timestamp: 0:13:14.190394301; Bps: 4081889; fps: 60.3; CPU: 0; INFO: Timestamp: 0:13:15.207033717; Bps: 4081889; fps: 60.3; CPU: 0; INFO: Timestamp: 0:13:16.223669499; Bps: 4081889; fps: 60.3; CPU: 0;
Capture-Live preview at 1080p@60fps
DISPLAY=:0 gst-launch-1.0 v4l2src device=/dev/video1 do-timestamp=true ! \ perf print-arm-load=true ! 'video/x-raw,format=UYVY,width=1920,height=1080,framerate=60/1' ! \ nvvidconv ! 'video/x-raw(memory:NVMM),format=I420,width=1920,height=1080,framerate=60/1' ! \ nvoverlaysink async=false sync=false enable-last-sample=false -v
INFO: Timestamp: 0:08:02.989948507; Bps: 4081889; fps: 60.3; CPU: 13; INFO: Timestamp: 0:08:03.989966271; Bps: 4147200; fps: 60.0; CPU: 12; INFO: Timestamp: 0:08:04.989995933; Bps: 4147200; fps: 60.0; CPU: 13; INFO: Timestamp: 0:08:05.990025299; Bps: 4147200; fps: 60.0; CPU: 13; INFO: Timestamp: 0:08:06.990053154; Bps: 4147200; fps: 60.0; CPU: 13; INFO: Timestamp: 0:08:07.990083370; Bps: 4147200; fps: 60.0; CPU: 11; INFO: Timestamp: 0:08:08.990110923; Bps: 4147200; fps: 60.0; CPU: 10; INFO: Timestamp: 0:08:09.990139620; Bps: 4147200; fps: 60.0; CPU: 10; INFO: Timestamp: 0:08:10.990166517; Bps: 4147200; fps: 60.0; CPU: 10; INFO: Timestamp: 0:08:11.990196477; Bps: 4147200; fps: 60.0; CPU: 10; INFO: Timestamp: 0:08:12.990230011; Bps: 4147200; fps: 60.0; CPU: 11; INFO: Timestamp: 0:08:13.990254320; Bps: 4147200; fps: 60.0; CPU: 11; INFO: Timestamp: 0:08:14.990283354; Bps: 4147200; fps: 60.0; CPU: 11; INFO: Timestamp: 0:08:15.990310108; Bps: 4147200; fps: 60.0; CPU: 11; INFO: Timestamp: 0:08:16.990335409; Bps: 4147200; fps: 60.0; CPU: 11; INFO: Timestamp: 0:08:17.990371036; Bps: 4147200; fps: 60.0; CPU: 11; INFO: Timestamp: 0:08:18.990394650; Bps: 4147200; fps: 60.0; CPU: 12; INFO: Timestamp: 0:08:19.990422989; Bps: 4147200; fps: 60.0; CPU: 15;
Capture-Live preview at 1080p@30fps
DISPLAY=:0 gst-launch-1.0 v4l2src device=/dev/video1 do-timestamp=true ! \ perf print-arm-load=true ! 'video/x-raw,format=UYVY,width=1920,height=1080,framerate=30/1' ! \ nvvidconv ! 'video/x-raw(memory:NVMM),format=I420,width=1920,height=1080,framerate=30/1' ! \ nvoverlaysink async=false sync=false enable-last-sample=false -v
INFO: INFO: Timestamp: 0:09:31.462594179; Bps: 4014714; fps: 30.0; CPU: 7; INFO: Timestamp: 0:09:32.462622018; Bps: 4147200; fps: 30.0; CPU: 6; INFO: Timestamp: 0:09:33.462655465; Bps: 4147200; fps: 30.0; CPU: 7; INFO: Timestamp: 0:09:34.462684023; Bps: 4147200; fps: 30.0; CPU: 8; INFO: Timestamp: 0:09:35.462715689; Bps: 4147200; fps: 30.0; CPU: 8; INFO: Timestamp: 0:09:36.462743682; Bps: 4147200; fps: 30.0; CPU: 7; INFO: Timestamp: 0:09:37.462774656; Bps: 4147200; fps: 30.0; CPU: 6; INFO: Timestamp: 0:09:38.462801188; Bps: 4147200; fps: 30.0; CPU: 6; INFO: Timestamp: 0:09:39.462832432; Bps: 4147200; fps: 30.0; CPU: 7; INFO: Timestamp: 0:09:40.462859680; Bps: 4147200; fps: 30.0; CPU: 6; INFO: Timestamp: 0:09:41.462890935; Bps: 4147200; fps: 30.0; CPU: 5; INFO: Timestamp: 0:09:42.462919762; Bps: 4147200; fps: 30.0; CPU: 5; INFO: Timestamp: 0:09:43.462951317; Bps: 4147200; fps: 30.0; CPU: 5;
Capture-Live preview at 720p@60fps
DISPLAY=:0 gst-launch-1.0 v4l2src device=/dev/video1 do-timestamp=true ! \ perf print-arm-load=true ! 'video/x-raw,format=UYVY,width=1280,height=720,framerate=60/1' ! \ nvvidconv ! 'video/x-raw(memory:NVMM),format=I420,width=1280,height=720,framerate=60/1' ! \ nvoverlaysink async=false sync=false enable-last-sample=false -v
INFO: Timestamp: 0:01:49.661574440; Bps: 0; fps: 0.0; CPU: 13; INFO: Timestamp: 0:01:50.678068687; Bps: 1814173; fps: 60.3; CPU: 4; INFO: Timestamp: 0:01:51.694653853; Bps: 1814173; fps: 60.3; CPU: 5; INFO: Timestamp: 0:01:52.711245768; Bps: 1814173; fps: 60.3; CPU: 6; INFO: Timestamp: 0:01:53.727842543; Bps: 1814173; fps: 60.3; CPU: 6; INFO: Timestamp: 0:01:54.744441368; Bps: 1814173; fps: 60.3; CPU: 5; INFO: Timestamp: 0:01:55.761048260; Bps: 1814173; fps: 60.3; CPU: 6; INFO: Timestamp: 0:01:56.777655010; Bps: 1814173; fps: 60.3; CPU: 5; INFO: Timestamp: 0:01:57.794274563; Bps: 1814173; fps: 60.3; CPU: 5; INFO: Timestamp: 0:01:58.810885062; Bps: 1814173; fps: 60.3; CPU: 5; INFO: Timestamp: 0:01:59.827506633; Bps: 1814173; fps: 60.3; CPU: 5; INFO: Timestamp: 0:02:00.844129340; Bps: 1814173; fps: 60.3; CPU: 5; INFO: Timestamp: 0:02:01.860753501; Bps: 1814173; fps: 60.3; CPU: 5; INFO: Timestamp: 0:02:02.877381687; Bps: 1814173; fps: 60.3; CPU: 4;
See also
Toshiba TC358743 Linux driver for iMX6
|
RidgeRun Resources | |||||||||||||||||||||||||||||||||||||||||||||||||||||||
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
|||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Visit our Main Website for the RidgeRun Products and Online Store. RidgeRun Engineering informations are available in RidgeRun Professional Services, RidgeRun Subscription Model and Client Engagement Process wiki pages. Please email to support@ridgerun.com for technical questions and contactus@ridgerun.com for other queries. Contact details for sponsoring the RidgeRun GStreamer projects are available in Sponsor Projects page. |  
|
