Mexico President WARNS United States Against Military Action

T507 Linux 4.9 I2C guide covering U-Boot access, device tree setup, kernel drivers, i2c-tools usage, and C API examples for reliable I2C device integration.

Step-by-step guide to apply real-time patches on T507 kernel, fix compilation errors, and optimize embedded Linux for Wi-Fi, GPU, and real-time performance.

Learn how to configure the T507 audio system, use DMA channels, and test audio with TinyAlsa tools for embedded Linux development.

OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation OpenCV is an open-source computer vision library that provides a rich set of image processing and computer vision algorithms, supporting multi-platform development. It can be used for various computer vision tasks such as image and video processing, feature extraction, object detection, image segmentation, pose estimation, and object recognition. There are two methods for porting OpenCV: standalone compilation and Buildroot compilation. Standalone Compilation of OpenCV Standalone compilation requires CMake, a cross-platform build system similar to the commonly used ./configure. Once configured, it generates a CMakeLists.txt file that defines the project's build rules. 1. Install CMake OpenCV Porting on T507 Platform with Linux 4.19 2. Configuration First, extract opencv-2.4.13.7.tar.gz, enter its directory, and run cmake-gui to open the configuration interface. (1)Set the source code path and build output path (the output path must be created in advance); OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation (2)Click Configure and select Unix platform cross-compilation mode; OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation (3)Configure compiler settings. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation (4)Configure compiler settings after configuration. Enable TIFF support. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation Disable CUDA (Compiling with CUDA fails; CUDA is for NVIDIA GPUs, which are not available on T507, so disabling it has no impact). OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation Select Grouped to configure the installation path in cmake. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation Cancel GTK OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation Reconfigure and generate the build files. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation 1. Compilation Before compiling, modify the CMakeLists.txt file to configure linker rules: OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation The goal is to configure the rules for the connector, -lpthread: Links the libpthread.so library, which provides multithreading support -lrt: links the librt.so library, which provides real-time extension-related functions -lrt: links the librt.so library, which provides real-time extension-related functions make compilation OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation 1. Installation and Deployment The installation path needs to be cleared before installation. make install. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation Generated test program. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation Generated library. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation There is also a part of the build path. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation Package the above content and release it to the file system of the board. 1. Test The program can be called to the library to run normally. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation However, there are still some errors in the application processing. Build root compile opencv 1. Enter the Graphical Interface OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation 2. Select Compilation Parameters Select opencv3 in the following path Tick all the parameter items. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation 1. Save the .config file. Go to the output path of the source package/OKT507-linux-sdk/out/t507/okt507/longan/buildroot， Change the existing target file to any name and create a new target file 1. Standalone Compilation OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation Networking is required for the compilation process Buildroot outputs the standalone compiled content to the previously created **target** directory. The contents can then be packaged and deployed to the **filesystem**. 1. Test ZD-Atom provides an OpenCV Qt test program based on **i.MX6UL** , where the **.pro** file defines the application's dependencies. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation These libraries are available in the files generated by the compilation. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation Both methods have their pros and cons: Standalone Compilation: Allows trying different source versions and offers more flexible parameter configuration, but the process is complex. Buildroot Compilation: Enables easy deployment by simply extracting the generated files, but switching versions is inconvenient. OpenCV is an open-source computer vision library that provides a rich set of image processing and computer vision algorithms, supporting multi-platform development. It can be used for various computer vision tasks such as image and video processing, feature extraction, object detection, image segmentation, pose estimation, and object recognition. There are two methods for porting OpenCV: standalone compilation and Buildroot compilation. Standalone Compilation of OpenCV Standalone compilation requires CMake, a cross-platform build system similar to the commonly used ./configure. Once configured, it generates a CMakeLists.txt file that defines the project's build rules. 1. Install CMake OpenCV Porting on T507 Platform with Linux 4.19 2. Configuration First, extract opencv-2.4.13.7.tar.gz, enter its directory, and run cmake-gui to open the configuration interface. (1)Set the source code path and build output path (the output path must be created in advance); OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation (2)Click Configure and select Unix platform cross-compilation mode; OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation (3)Configure compiler settings. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation (4)Configure compiler settings after configuration. Enable TIFF support. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation Disable CUDA (Compiling with CUDA fails; CUDA is for NVIDIA GPUs, which are not available on T507, so disabling it has no impact). OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation Select Grouped to configure the installation path in cmake. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation Cancel GTK OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation Reconfigure and generate the build files. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation 1. Compilation Before compiling, modify the CMakeLists.txt file to configure linker rules: OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation The goal is to configure the rules for the connector, -lpthread: Links the libpthread.so library, which provides multithreading support -lrt: links the librt.so library, which provides real-time extension-related functions -lrt: links the librt.so library, which provides real-time extension-related functions make compilation OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation 1. Installation and Deployment The installation path needs to be cleared before installation. make install. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation Generated test program. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation Generated library. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation There is also a part of the build path. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation Package the above content and release it to the file system of the board. 1. Test The program can be called to the library to run normally. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation However, there are still some errors in the application processing. Build root compile opencv 1. Enter the Graphical Interface OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation 2. Select Compilation Parameters Select opencv3 in the following path Tick all the parameter items. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation 1. Save the .config file. Go to the output path of the source package/OKT507-linux-sdk/out/t507/okt507/longan/buildroot， Change the existing target file to any name and create a new target file 1. Standalone Compilation OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation Networking is required for the compilation process Buildroot outputs the standalone compiled content to the previously created **target** directory. The contents can then be packaged and deployed to the **filesystem**. 1. Test ZD-Atom provides an OpenCV Qt test program based on **i.MX6UL** , where the **.pro** file defines the application's dependencies. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation These libraries are available in the files generated by the compilation. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation Both methods have their pros and cons: Standalone Compilation: Allows trying different source versions and offers more flexible parameter configuration, but the process is complex. Buildroot Compilation: Enables easy deployment by simply extracting the generated files, but switching versions is inconvenient.

We spent some time with the Cruz T510 and T507, two forth...

محكمة الاحتلال تجدد الاعتقال الإداري للمرة الثالثة لمدة 6 شهور للأسيرين الشقيقين محمد وموسى رياض الجبالي

MYiR Tech has launched a AEC-Q100 qualified system-on-module based on Allwinner T507-H automotive processor, as well as a development board.

Forlinx OKT507-C single board computer for automotive applications is powered by FETT507-C system-in-module equipped with Allwinner T507 industrial

This guide provides a concise overview of the audio system on the Allwinner T507 platform, covering the DMA transfer mechanism, Audio Hub configuration methods, and commonly used audio testing tools. It is intended to help developers quickly set up and validate audio functionality. When a DMA channel sound card records or plays digital audio, it uses the DMA channel to transfer audio data between itself and RAM without CPU intervention to improve the data transfer rate and CPU utilization. T507 Audio System T507 Audio System: DMA Channel, Audio Hub Configuration and Test Guide Audio codec, Audio Hub, DMIC, OWA（One Wire Audio） Audio codec: Built-in module with digital-to-analog conversion to convert audio digital signals to analog signals. Audio Hub: T507-specific module integrates basic audio input and output functions and special hardware mixing functions. The mixing function has three input terminals and 4 x I2S, which can complete the mixing of three channels of data. The mixed data is output through HDMI, I2S0, I2S2 and I2S3. T507 Audio System: DMA Channel, Audio Hub Configuration and Test Guide T507 Audio System: DMA Channel, Audio Hub Configuration and Test Guide Audio Path Configuration To view the current audio device node on the system: root@forlinx:/# cat /proc/asound/cards 0 [audiocodec ]: audiocodec - audiocodec //codec corresponding card0 audiocodec 1 [sndahub ]: sndahub - sndahub //audio_hub corresponding card1 sndahub 2 [sndhdmi ]: sndhdmi - sndhdmi //hdmi corresponding card2 sndhdmi 3 [sndwm89603001a ]: sndwm8960_3-001 - sndwm8960.3-001a //8960 corresponding card3 sndwm8960.3-001a root@forlinx:/proc/asound# cat devices 0: [ 0] : control //device 0 16: [ 0- 0]: digital audio playback 24: [ 0- 0]: digital audio capture 32: [ 1] : control //device 1 33: : timer 48: [ 1- 0]: digital audio playback //APBIF_TXDIF0 play hub_device 0 49: [ 1- 1]: digital audio playback //APBIF_TXDIF1 play hub_device 1 50: [ 1- 2]: digital audio playback //APBIF_TXDIF2 play hub_device 2 56: [ 1- 0]: digital audio capture //APBIF0 play hub_device 0 57: [ 1- 1]: digital audio capture //APBIF1 play hub_device 1 58: [ 1- 2]: digital audio capture //APBIF2 play hub_device 2 64: [ 2] : control //device 2 80: [ 2- 0]: digital audio playback 96: [ 3] : control //device 3 112: [ 3- 0]: digital audio playback 120: [ 3- 0]: digital audio capture Audio_hub Default Configuration Default i2s3 configuration root@forlinx:/# tinymix -D 1 Mixer name: 'sndahub' Number of controls: 26 ctl type num name value 0 ENUM 1 ahub audio format Function null 1 BOOL 1 I2S0IN Switch Off 2 BOOL 1 I2S0OUT Switch Off 3 BOOL 1 I2S1IN Switch Off 4 BOOL 1 I2S1OUT Switch On 5 BOOL 1 I2S2IN Switch Off 6 BOOL 1 I2S2OUT Switch Off 7 BOOL 1 I2S3IN Switch On 8 BOOL 1 I2S3OUT Switch On 9 BOOL 1 DAM0IN Switch Off 10 BOOL 1 DAM1IN Switch Off 11 BOOL 1 DAM0OUT Switch Off 12 BOOL 1 DAM1OUT Switch Off 13 ENUM 1 APBIF0 Src Select NONE 14 ENUM 1 APBIF1 Src Select I2S3_TXDIF 15 ENUM 1 APBIF2 Src Select NONE 16 ENUM 1 I2S0 Src Select NONE 17 ENUM 1 I2S1 Src Select APBIF_TXDIF0 18 ENUM 1 I2S2 Src Select NONE 19 ENUM 1 I2S3 Src Select APBIF_TXDIF1 20 ENUM 1 DAM0Chan0 Src Select NONE 21 ENUM 1 DAM0Chan1 Src Select NONE 22 ENUM 1 DAM0Chan2 Src Select NONE 23 ENUM 1 DAM1Chan0 Src Select NONE 24 ENUM 1 DAM1Chan1 Src Select NONE 25 ENUM 1 DAM1Chan2 Src Select NONE I2s0 Recommended Configuration tinymix -D 1 1 1 //Open input for i2s0 tinymix -D 1 2 1 //Open output for i2s0 tinymix -D 1 7 0 //Close i2s3 input tinymix -D 1 8 0 //Close i2s3 output tinymix -D 1 14 I2S0_TXDIF tinymix -D 1 16 APBIF_TXDIF1 tinymix -D 1 19 NONE I2s2 Recommended Configuration tinymix -D 1 1 1 //Open input for i2s2 tinymix -D 1 6 1 //Open output for i2s0 tinymix -D 1 7 0 //Close i2s3 input tinymix -D 1 8 0 //Close i2s3 output tinymix -D 1 14 I2S2_TXDIF tinymix -D 1 18 APBIF_TXDIF1 tinymix -D 1 19 NONE The configuration of audio channels will affect the use of test routines: Before conducting the playback test, please insert the prepared 3.5mm headphones into the HeadPhone interface. To play sound through the speaker, insert the pin wires of the prepared speaker (SPK_RP and SPK_LN) into the P32 or P31 interface. T507 Audio System: DMA Channel, Audio Hub Configuration and Test Guide Introduction to Testing Tools 1. alsa - utils: These are standard ALSA tools that utilize the alsa - lib standard library. Commonly used tools include amixer, aplay, arecord, alsaconf, etc. 2. tinyalsa: It is a simplified version of alsa - lib. It provides basic interfaces for PCM and control, and the interfaces can be used as needed. Commonly used tools are tinymix, tinyplay, tinycap. T507 Audio Test Tool The alsa-utils standard ALSA tool uses the alsa-lib standard library. Commonly used are amixer, aplay, arecord, alsaconf tinyalsa is a simplified version of alsa-lib. It provides the basic interfaces for PCM and control, which can be used on demand. Commonly used tools are tinymix, tinyplay, tinycap1 1. codec (LINEOUT) only DAC, no ADC. Therefore, it can only play, not record, and audio _ hub is not used.Play commands use aplay or tinyplay aplay -Dhw:0,0 mic.wav 1. For the 8960 (external audio chip), its I2S signal passes through the audio_hub, which is a module unique to Allwinner. Audio recording using this. Audio_hub (with the 8960): root@forlinx:tinycap_ahub mic.wav -aD 1 -ad 1 -D 3 -d 0 -t 30 -b 16 -c 2 -p 1024 Usage: tinycap_ahub file.wav [-aD ahub card] [-ad ahub device] [-D card] [-d device][-c channels] [-r rate] [-b bits] [-p period_size] [-n n_periods] [-t seconds] Audio_hub play (8960)： root@forlinx:tinyplay_ahub mic.wav -aD 1 -ad 1 -D 3 Usage: tinyplay_ahub file.wav [-aD ahub card] [-ad ahub device] [-D card] [-d device] [-p period_size] [-n n_periods]

OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation OpenCV is an open-source computer vision library that provides a rich set of image processing and computer vision algorithms, supporting multi-platform development. It can be used for various computer vision tasks such as image and video processing, feature extraction, object detection, image segmentation, pose estimation, and object recognition. There are two methods for porting OpenCV: standalone compilation and Buildroot compilation. Standalone Compilation of OpenCV Standalone compilation requires CMake, a cross-platform build system similar to the commonly used ./configure. Once configured, it generates a CMakeLists.txt file that defines the project's build rules. 1. Install CMake OpenCV Porting on T507 Platform with Linux 4.19 2. Configuration First, extract opencv-2.4.13.7.tar.gz, enter its directory, and run cmake-gui to open the configuration interface. (1)Set the source code path and build output path (the output path must be created in advance); OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation (2)Click Configure and select Unix platform cross-compilation mode; OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation (3)Configure compiler settings. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation (4)Configure compiler settings after configuration. Enable TIFF support. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation Disable CUDA (Compiling with CUDA fails; CUDA is for NVIDIA GPUs, which are not available on T507, so disabling it has no impact). OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation Select Grouped to configure the installation path in cmake. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation Cancel GTK OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation Reconfigure and generate the build files. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation 1. Compilation Before compiling, modify the CMakeLists.txt file to configure linker rules: OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation The goal is to configure the rules for the connector, -lpthread: Links the libpthread.so library, which provides multithreading support -lrt: links the librt.so library, which provides real-time extension-related functions -lrt: links the librt.so library, which provides real-time extension-related functions make compilation OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation 1. Installation and Deployment The installation path needs to be cleared before installation. make install. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation Generated test program. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation Generated library. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation There is also a part of the build path. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation Package the above content and release it to the file system of the board. 1. Test The program can be called to the library to run normally. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation However, there are still some errors in the application processing. Build root compile opencv 1. Enter the Graphical Interface OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation 2. Select Compilation Parameters Select opencv3 in the following path Tick all the parameter items. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation 1. Save the .config file. Go to the output path of the source package/OKT507-linux-sdk/out/t507/okt507/longan/buildroot， Change the existing target file to any name and create a new target file 1. Standalone Compilation OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation Networking is required for the compilation process Buildroot outputs the standalone compiled content to the previously created **target** directory. The contents can then be packaged and deployed to the **filesystem**. 1. Test ZD-Atom provides an OpenCV Qt test program based on **i.MX6UL** , where the **.pro** file defines the application's dependencies. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation These libraries are available in the files generated by the compilation. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation Both methods have their pros and cons: Standalone Compilation: Allows trying different source versions and offers more flexible parameter configuration, but the process is complex. Buildroot Compilation: Enables easy deployment by simply extracting the generated files, but switching versions is inconvenient. OpenCV is an open-source computer vision library that provides a rich set of image processing and computer vision algorithms, supporting multi-platform development. It can be used for various computer vision tasks such as image and video processing, feature extraction, object detection, image segmentation, pose estimation, and object recognition. There are two methods for porting OpenCV: standalone compilation and Buildroot compilation. Standalone Compilation of OpenCV Standalone compilation requires CMake, a cross-platform build system similar to the commonly used ./configure. Once configured, it generates a CMakeLists.txt file that defines the project's build rules. 1. Install CMake OpenCV Porting on T507 Platform with Linux 4.19 2. Configuration First, extract opencv-2.4.13.7.tar.gz, enter its directory, and run cmake-gui to open the configuration interface. (1)Set the source code path and build output path (the output path must be created in advance); OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation (2)Click Configure and select Unix platform cross-compilation mode; OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation (3)Configure compiler settings. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation (4)Configure compiler settings after configuration. Enable TIFF support. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation Disable CUDA (Compiling with CUDA fails; CUDA is for NVIDIA GPUs, which are not available on T507, so disabling it has no impact). OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation Select Grouped to configure the installation path in cmake. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation Cancel GTK OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation Reconfigure and generate the build files. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation 1. Compilation Before compiling, modify the CMakeLists.txt file to configure linker rules: OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation The goal is to configure the rules for the connector, -lpthread: Links the libpthread.so library, which provides multithreading support -lrt: links the librt.so library, which provides real-time extension-related functions -lrt: links the librt.so library, which provides real-time extension-related functions make compilation OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation 1. Installation and Deployment The installation path needs to be cleared before installation. make install. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation Generated test program. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation Generated library. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation There is also a part of the build path. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation Package the above content and release it to the file system of the board. 1. Test The program can be called to the library to run normally. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation However, there are still some errors in the application processing. Build root compile opencv 1. Enter the Graphical Interface OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation 2. Select Compilation Parameters Select opencv3 in the following path Tick all the parameter items. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation 1. Save the .config file. Go to the output path of the source package/OKT507-linux-sdk/out/t507/okt507/longan/buildroot， Change the existing target file to any name and create a new target file 1. Standalone Compilation OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation Networking is required for the compilation process Buildroot outputs the standalone compiled content to the previously created **target** directory. The contents can then be packaged and deployed to the **filesystem**. 1. Test ZD-Atom provides an OpenCV Qt test program based on **i.MX6UL** , where the **.pro** file defines the application's dependencies. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation These libraries are available in the files generated by the compilation. OpenCV Porting on T507 Platform with Linux 4.19: A Deep Comparison Between Standalone Compilation and Buildroot Compilation Both methods have their pros and cons: Standalone Compilation: Allows trying different source versions and offers more flexible parameter configuration, but the process is complex. Buildroot Compilation: Enables easy deployment by simply extracting the generated files, but switching versions is inconvenient.