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English | 简体中文
PaddleDetection Python部署示例
在部署前，需确认以下步骤
-
- 软硬件环境满足要求，参考FastDeploy环境要求
本目录下提供infer.py快速完成Picodet在RKNPU上部署的示例。执行如下脚本即可完成
# 下载部署示例代码
git clone https://github.com/PaddlePaddle/FastDeploy.git
cd FastDeploy/examples/vision/detection/paddledetection/rknpu2/python
# 下载图片
wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/000000014439.jpg
# copy model
cp -r ./picodet_s_416_coco_lcnet /path/to/FastDeploy/examples/vision/detection/rknpu2detection/paddledetection/python
# 推理
python3 infer.py --model_file ./picodet_s_416_coco_lcnet/picodet_s_416_coco_lcnet_rk3568.rknn \
--config_file ./picodet_s_416_coco_lcnet/infer_cfg.yml \
--image 000000014439.jpg
注意事项
RKNPU上对模型的输入要求是使用NHWC格式，且图片归一化操作会在转RKNN模型时，内嵌到模型中，因此我们在使用FastDeploy部署时，需要先调用DisableNormalizePermute(C++)或`disable_normalize_permute(Python)，在预处理阶段禁用归一化以及数据格式的转换。