Introduction

Cvitek provides TDL integration algorithms to reduce the time required for application development.

This architecture realizes the algorithm required by TDL, including its pre and post processing, and provides a unified and convenient programming interface.

At present, TDL SDK includes motion detection, face detection, face recognition, face tracking, pedestrian detection, semantic segmentation, license plate recognition, license plate detection, live recognition, IR live recognition, infant detection, cry detection, attitude detection, gesture detection, Gesture Recognition and other algorithms.

Documents

Chinese Version(中文版)	格式		English Version	Format
深度学习SDK软件开发指南	html	pdf	TDL SDK Software Development Guide	html	pdf
YOLO系列开发指南	html	pdf	YOLO Development Guide	html	pdf

Compilation

The TDL-SDK program needs to be cross-compiled in the Linux environment of the PC host, such as Ubuntu 22.04 system.

1. Download toolchain

   wget https://sophon-file.sophon.cn/sophon-prod-s3/drive/23/03/07/16/host-tools.tar.gz

   Extracting Toolchain:

   tar xvf host-tools.tar.gz

   Enter the toolchain directory and export the toolchain path to the environment variable:

   cd host-tools
   export PATH=$PATH:$(pwd)/gcc/riscv64-linux-musl-x86_64/bin

   Verify that the toolchain is available:

   riscv64-unknown-linux-musl-gcc -v

   The version information of the cross-compilation tool chain can be displayed normally, that is, the toolchain is available:

   $ riscv64-unknown-linux-musl-gcc -v
   Using built-in specs.
   COLLECT_GCC=riscv64-unknown-linux-musl-gcc
   ...
   Thread model: posix
   Supported LTO compression algorithms: zlib
   gcc version 10.2.0 (Xuantie-900 linux-5.10.4 musl gcc Toolchain V2.6.1 B-20220906)

2. Compile cvitek-tdl-sdk

   Download the TDL-SDK source code, the Duo and Duo256M/DuoS repositories are different:

   • Duo:

     git clone https://github.com/milkv-duo/cvitek-tdl-sdk-cv180x.git
     cd cvitek-tdl-sdk-cv180x

   • Duo256M 和 DuoS:

     git clone https://github.com/milkv-duo/cvitek-tdl-sdk-sg200x.git
     cd cvitek-tdl-sdk-sg200x

     If the repositories code is updated, you can execute git pull in the code directory to pull the latest code, such as Duo256M and DuoS:

     cd cvitek-tdl-sdk-sg200x
     git pull

     After pulling the latest code, continue compiling.

   Compile samples:

   cd sample
   ./compile_sample.sh

   The generated program is in the corresponding subdirectory in the sample directory. For example, the face detection example sample_vi_fd is located in

   cvi_tdl/sample_vi_fd

   Clean:

   ./compile_sample.sh clean

Example description

For detailed descriptions and running methods of each example, please refer to the following chapters.

Reference link

https://developer.sophgo.com/thread/556.html