deepin-ocr/3rdparty/opencv-4.5.4/samples/semihosting
wangzhengyang 718c41634f feat: 切换后端至PaddleOCR-NCNN,切换工程为CMake
1.项目后端整体迁移至PaddleOCR-NCNN算法,已通过基本的兼容性测试
2.工程改为使用CMake组织,后续为了更好地兼容第三方库,不再提供QMake工程
3.重整权利声明文件,重整代码工程,确保最小化侵权风险

Log: 切换后端至PaddleOCR-NCNN,切换工程为CMake
Change-Id: I4d5d2c5d37505a4a24b389b1a4c5d12f17bfa38c
2022-05-10 10:22:11 +08:00
..
histogram feat: 切换后端至PaddleOCR-NCNN,切换工程为CMake 2022-05-10 10:22:11 +08:00
include feat: 切换后端至PaddleOCR-NCNN,切换工程为CMake 2022-05-10 10:22:11 +08:00
norm feat: 切换后端至PaddleOCR-NCNN,切换工程为CMake 2022-05-10 10:22:11 +08:00
CMakeLists.txt feat: 切换后端至PaddleOCR-NCNN,切换工程为CMake 2022-05-10 10:22:11 +08:00
README.md feat: 切换后端至PaddleOCR-NCNN,切换工程为CMake 2022-05-10 10:22:11 +08:00

Arm semihosting

This folder contain a toolchain file and a couple of examples for building OpenCV based applications that can run in an Arm semihosting setup.

OpenCV can be compiled to target a semihosting platform as follows:

cmake ../opencv/ \
    -DCMAKE_TOOLCHAIN_FILE=../opencv/platforms/semihosting/aarch64-semihosting.toolchain.cmake \
    -DSEMIHOSTING_TOOLCHAIN_PATH=/path/to/baremetal-toolchain/bin/ \
    -DBUILD_EXAMPLES=ON -GNinja

A barematel toolchain for targeting aarch64 semihosting can be found here, under aarch64-none-elf.

The code of the examples in the norm and histogram folders can be executed with qemu in Linux userspace:

    qemu-aarch64 ./bin/example_semihosting_histogram
    qemu-aarch64 ./bin/example_semihosting_norm