FastDeploy/examples/vision/detection/rkyolo/python

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RKYOLO Python Deployment Example

Two steps before deployment

• 1. Software and hardware should meet the requirements. Refer to FastDeploy Environment Requirements

This directory provides examples that infer.py fast finishes the deployment of Picodet on RKNPU. The script is as follows

# Download the example code for deployment
git clone https://github.com/PaddlePaddle/FastDeploy.git
cd FastDeploy/examples/vision/detection/rkyolo/python

# Download images
wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/000000014439.jpg

# copy model
cp -r ./model /path/to/FastDeploy/examples/vision/detection/rkyolo/python

# Inference
python3 infer.py --model_file ./model/  \
                  --image 000000014439.jpg

Note

The model needs to be in NHWC format on RKNPU. The normalized image will be embedded in the RKNN model. Therefore, when we deploy with FastDeploy, call DisablePermute(C++) or disable_permute(Python) to disable normalization and data format conversion during preprocessing.

Other Documents

• PaddleDetection Model Description
• PaddleDetection C++ Deployment
• model prediction Results
• Convert PaddleDetection RKNN Model Files