GrabBag/AppAlgo/AAPGS_model/docs/INSTALL.md

RK3588 installation

Requirements

• RK3588 Linux in AArch64 mode (uname -m returns aarch64)
• Compatible Rockchip RKNPU kernel driver
• glibc and libstdc++
• CMake, GCC and G++ only when rebuilding the examples on the board

Verify and extract the delivery archive

Keep the .tar.gz and .tar.gz.sha256 files in the same directory, then run:

sha256sum -c <package>.tar.gz.sha256
tar -xzf <package>.tar.gz
cd <package>

The archive contains one top-level SDK directory and does not use absolute paths.

Keep libyolo_runtime.so.3, the selected libyolo_backend_*.so, and librknnrt.so in the same lib directory. The backend uses $ORIGIN to find its runtime dependencies.

Run without installing

From the package root:

chmod +x examples/bin/yolo_c_example examples/bin/yolo_cpp_example
bash examples/c/run.sh
bash examples/cpp/run.sh

Both examples load examples/assets/sample.bmp into process memory and call yolo_runtime_infer_image(). The SDK itself never receives an image path. By default, the JSON results are written to the current working directory. Set YOLO_RESULT_JSON=/path/result.json to choose another output path.

Install to /opt

sudo bash scripts/install.sh /opt/rk3588-ai

After installation, run from a writable working directory:

cd /tmp
bash /opt/rk3588-ai/examples/c/run.sh
bash /opt/rk3588-ai/examples/cpp/run.sh

The integrator may instead copy the same layout into its own Debian package.