Repository files navigation

This is the C++ version of OpenCV Zoo, which currently provides a demo and benchmark onYuNet.

The Allwinner D1 development board[CN][EN] is equiped with the Xuantie C906 CPU.Xuantie C906 is a RISC-V architecture CPU with RVV intrinsic v0.7.1 support, which is developed by T-Head (平头哥半导体有限公司).

Steps to build OpenCV Zoo for Xuantie C906 CPU (Allwinner D1 board):

1. Followthis wiki on OpenCV to build OpenCV with RVV support. If you have trouble downloading toolchains, visit and download from T-Head:https://occ.t-head.cn/community/download?id=3927429448189939712 (toolchain of version 1.12.0 is recommanded).
2. Cross compile this repo using the downloaded toolchain:

   cd$opencv_zoo_cppmkdir build&&cd buildcmake -D CMAKE_BUILD_TYPE=RELEASE \      -D CMAKE_PREFIX_PATH=/path/to/opencv_riscv_install \      -D CMAKE_TOOLCHAIN_FILE=/path/to/opencv/platforms/linux/riscv64-071-gcc.toolchain.cmake ..make# After this you will get two binary files: detect, benchmark

3. Download YuNet fromOpenCV Zoo.
4. Senddetect,benchmark, the modelface_detection_yunet_2021sep.onnx and some test images to the board using adb:

   adb push detect /root/adb push benchmark /root/adb push face_detection_yunet_2021sep.onnx /root/adb push /path/to/image /root/

5. Rundetect andbenchmarkon the board:

   # Shell on the boardcd /root/./detect -i=<image_name> -m=face_detection_yunet_2021sep.onnx# Run ./detect to get help./benchmark -i=<image_name> -m=face_detection_yunet_2021sep.onnx# Run ./benchmark to get help