@wuming

• 编译完成out目录文件拷贝到机器/boot/firmware路径

sudo cp ./out/* /boot/firmware -R

• 解压modules.tar.gz 到机器/lib 路径

sudo tar -zxvf /boot/firmware/modules.tar.gz -C /lib

@AugustRobot_Zou

To facilitate users' development based on RKNN, the RKNN C and Python environments have been made into PPA installation sources. Running the following command can complete the installation and setup.Currently, only the ubuntu22.04 environment is supported, and other versions will be added in the future.

sudo add-apt-repository ppa:george-coolpi/rknpu
sudo apt update
sudo apt-get install rknpu2

Environmental testing

• Python

cd /usr/share/rknn-toolkit2/examples/inference_with_lite/
python3 test.py

The following results indicate that the environment was successfully built

--> Load RKNN model
done
--> Init runtime environment
I RKNN: [11:36:49.473] RKNN Runtime Information: librknnrt version: 1.4.0 (a10f100eb@2022-09-09T09:07:14)
I RKNN: [11:36:49.474] RKNN Driver Information: version: 0.8.2
I RKNN: [11:36:49.475] RKNN Model Information: version: 1, toolkit version: 1.4.0-c15f5e0b(compiler version: 1.4.0 (c73777b51@2022-09-05T12:06:01)), target: RKNPU v2, target platform: rk3588, framework name: PyTorch, framework layout: NCHW
done
--> Running model
resnet18
-----TOP 5-----
[812]: 0.9996696710586548
[404]: 0.0002492684288881719
[657]: 1.632158637221437e-05
[833]: 1.0159346857108176e-05
[466 895]: 9.02384545042878e-06

done

• C

sudo apt-get install git cmake -y
git clone https://gitee.com/yanyitech/rknpu2.git
cd rknpu2/examples/rknn_mobilenet_demo
./build-linux_RK3588.sh
cd install/rknn_mobilenet_demo_Linux/
./rknn_mobilenet_demo model/RK3588/mobilenet_v1.rknn model/dog_224x224.jpg 

The following results indicate that the environment was successfully built

model input num: 1, output num: 1
input tensors:
  index=0, name=input, n_dims=4, dims=[1, 224, 224, 3], n_elems=150528, size=150528, fmt=NHWC, type=INT8, qnt_type=AFFINE, zp=0, scale=0.007812
output tensors:
  index=0, name=MobilenetV1/Predictions/Reshape_1, n_dims=2, dims=[1, 1001, 0, 0], n_elems=1001, size=1001, fmt=UNDEFINED, type=INT8, qnt_type=AFFINE, zp=-128, scale=0.003906
rknn_run
 --- Top5 ---
156: 0.984375
155: 0.007812
205: 0.003906
 -1: 0.000000
 -1: 0.000000

@AugustRobot_Zou 如下图：

@Mz3D-0 The new machine will default to the WIFI&BT module of AP6275S. You can also replace other models of 1T1R modules, and there will be multiple models for users to choose from.

@jugg 那就是RGA有限制

@jugg 环境变量里边尝试关闭RGA使能。这个应该是RGB部分有限制。

@jugg GST_VIDEO_CONVERT_PREFERRED_FORMAT 环境变量改一下，I420改为默认格式。

@edwardzhou 先确认WIN是否OK，MAC暂时还没有测试，这个回头我们跟一下。

@顾真牛

@wuming

@wuming 你的内核版本不对！内核请更新到最新，使用cm5-evb-v11的配置编译

@wuming dmesg |grep iwl

@wuming 直接上传附件就好了

@AugustRobot_Zou 确认你的TTL转RS232模块使用的芯片是3.3V的还是5V的，如果是5V的可能存在漏电导致系统3.3V电压升高，进而影响EMMC正常工作。解决办法使使用3.3V的模块。

@AugustRobot_Zou 应该不是这里5V电源导致的。提供一下不能启动的串口日志。

@george WIFI固件下载链接如下 ,根据日志信息把对应firmware拷贝到机器/lib/firmware目录即可。

git clone git://git.kernel.org/pub/scm/linux/kernel/git/firmware/linux-firmware.git

@edwardzhou 是的，这样是成功了。

@edwardzhou 默认video11

@tonyone0902 线路不变，更换颗粒，升级软件。