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--- products:sbc:edge-2l:npu:rknn-sdk-quick-start [2025/10/21 23:21]
william created
+++ products:sbc:edge-2l:npu:rknn-sdk-quick-start [2026/05/11 02:49] (current)
nick ↷ Page moved from local:users:william:debug:edge2l:rknn-sdk-quick-start to products:sbc:edge-2l:npu:rknn-sdk-quick-start
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 ```
 === Create Python Environment Using Miniforge Conda ===
+In the terminal window on the computer, execute the following command to switch to the Miniforge conda base
+environment:
 ```shell
 $ source ~/miniforge3/bin/activate
 ```
+Create a Python 3.8 environment named 'py38Toolkit2.3.2' using the following command:
 ```shell
 $ conda create -n py38Toolkit2.3.2 python=3.8
 ```
+Activate the 'py38Toolkit2.3.2' environment. Subsequently, RKNN-Toolkit2 will be installed in this environment
 ```shell
 $ conda activate py38Toolkit2.3.2
 ```
+=== Install RKNN-Toolkit2 ===
+Install via local wheel packag.
+```shell
+$ cd rknn-toolkit2/rknn-toolkit2/packages/x86_64/
+$ pip3 install -r requirements_cp38-2.3.2.txt
+$ pip3 install ./rknn_toolkit2-2.3.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
+```
+=== Check if the RKNN-Toolkit2 Environment is Installed Successfully ===
+Switch to Python interactive mode
+```shell
+$ python
+```
+Import the RKNN class
+```shell
+$ from rknn.api import RKNN
+```
 ==== Install Compilation Tools on the Computer ====
+=== Install NDK on Android System Development Board ===
+Note: This section is applicable to development boards with the Android system. If the board is running on the
+Linux system, please skip this section.\\
+Download the Android NDK from the following link:
+```shell
+$ wget -c https://dl.google.com/android/repository/android-ndk-r19c-linux-x86_64.zip
+```
+Extract Android NDK files
+```shell
+$ unzip android-ndk-r19c-linux-x86_64.zip
+```
-==== Install RKNPU2 Environment on the Board ====
+==== Install GCC Cross-Compiler on Linux System Development Board ====
+Note: This section is applicable to development boards with the Linux system. If the board is running on the
+Android system, please skip this section.\\
+Download the GCC Cross-Compiler from the following link:
+```shell
+$ wget -c https://releases.linaro.org/components/toolchain/binaries/6.3-2017.05/aarch64-linux-gnu/gcc-linaro-6.3.1-2017.05-x86_64_aarch64-linux-gnu.tar.xz
+```
+Extract GCC Cross-Compiler files
+```shell
+$ tar -xJvf gcc-linaro-6.3.1-2017.05-x86_64_aarch64-linux-gnu.tar.xz
+```
 ===== Run Example Programs =====
+==== Prepare Model ====
+Switch to the rknn_model_zoo/examples/yolov5/model directory, and execute the download_model.sh script. This
+script will download an available YOLOv5 ONNX model and store it in the current model directory. Refer to the
+following commands:
+```shell
+$ cd Projects/rknn_model_zoo/examples/yolov5/model
+$ chmod a+x download_model.sh && ./download_model.sh
+```
+==== Model Conversion ====
+Switch to the rknn_model_zoo/examples/yolov5/python directory and run the convert.py script. This script converts
+the original ONNX model to the RKNN model. Refer to the following commands:
+```shell
+$ cd Projects/rknn_model_zoo/examples/yolov5/python
+$ chmod a+x convert.py && python convert.py ../model/yolov5s_relu.onnx rk3576 i8 ../model/yolov5s_relu.rknn
+```
+==== Run RKNN Python Demo ====
+Switch to the rknn_model_zoo/examples/yolov5/python directory, execute the yolov5.py script, and you can run the
+YOLOv5 model on the development board using on-board debugging. Refer to the following command:
+```shell
+$ cd Projects/rknn_model_zoo/examples/yolov5/python
+$ chmod a+x yolov5.py && python yolov5.py --model_path ../model/yolov5s_relu.rknn --target rk3576 --img_show
+```
+==== Run RKNN C Demo ====
+To run a RKNN C Demo, you need to first compile the C/C++ source code into an executable file. After that, push
+the executable file, model files, input images, and other related files to the development board. Finally, execute
+the executable file on the development board.
+=== Board is running on the Android system ===
+In the 'build-android.sh' script, add the following command:
+```shell
+$ ANDROID_NDK_PATH=Projects/android-ndk-r19c
+```
+Then, in the 'rknn_model_zoo' directory, execute the 'build-android.sh' script, referring to the following command:
+```shell
+$ cd Projects/rknn_model_zoo
+$ ./build-android.sh -t rk3576 -a arm64-v8a -d yolov5
+```
+Push Files to the edge2l Board:
+```shell
+$ cd Projects/rknn_model_zoo
+$ adb root
+$ adb install/rk3576_android_arm64-v8a/rknn_yolov5_demo/ /data/
+```
+Run the Demo on edge2l Board:
+```shell
+$ adb shell
+edge2l$ cd /data/rknn_yolov5_demo/
+edge2l$ export LD_LIBRARY_PATH=./lib
+edge2l$ ./rknn_yolov5_demo model/yolov5s_relu.rknn model/bus.jpg
+```
+=== Board is running on the Linux system ===
+In the 'buildlinux.sh' script, add the following command:
+```shell
+$ GCC_COMPILER=Projects/gcc-linaro-6.3.1-2017.05-x86_64_aarch64-linux-gnu/bin/aarch64-linux-gnu
+```
+Then, in the 'rknn_model_zoo' directory, execute the 'build-linux.sh' script, referring to the following command:
+```shell
+$ cd Projects/rknn_model_zoo
+$ ./build-linux.sh -t rk3576 -a aarch64 -d yolov5
+```
+Push Files to the edge2l Board:
+```shell
+$ cd Projects/rknn_model_zoo
+$ adb install/rk3576_linux_aarch64/rknn_yolov5_demo/ /data/
+```
+Run the Demo on edge2l Board:
+```shell
+$ adb shell
+edge2l$ cd /data/rknn_yolov5_demo/
+edge2l$ export LD_LIBRARY_PATH=./lib
+edge2l$ ./rknn_yolov5_demo model/yolov5s_relu.rknn model/bus.jpg
+```
+==== View Results ====
+By default, the output image is saved at the path rknn_yolov5_demo/out.png . You can use the adb tool to pull it
+from the board to the local machine. In the local computer terminal, execute the following command:
+```shell
+$ adb pull /data/rknn_yolov5_demo/out.png .
+```
+{{local:users:william:debug:edge2l:yolov5-bus-result.webp?400|}}
 ===== Important Note =====

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