apps/FastDeploy
1
0
Fork 0
mirror of https://github.com/PaddlePaddle/FastDeploy.git synced 2025-10-06 00:57:33 +08:00
Code Issues Actions 2 Packages Projects Releases Wiki Activity
Files
409c5dc05669b51a8fcc392cd161f24956761491
FastDeploy/examples/vision/facedet/scrfd/rknpu2/python
History
HCQ14 61c2f87e0c [Doc] Update English version of some documents (#1084) 
* Create README_CN.md

* Update README.md

* Update README_CN.md

* Create README_CN.md

* Update README.md

* Create README_CN.md

* Update README.md

* Create README_CN.md

* Update README.md

* Create README_CN.md

* Update README.md

* Create README_CN.md

* Update README.md

* Create README_CN.md

* Update README.md

* Create README_CN.md

* Update README.md

* Update README.md

* Update README_CN.md

* Create README_CN.md

* Update README.md

* Update README.md

* Update and rename README_en.md to README_CN.md

* Update WebDemo.md

* Update and rename WebDemo_en.md to WebDemo_CN.md

* Update and rename DEVELOPMENT_cn.md to DEVELOPMENT_CN.md

* Update DEVELOPMENT_CN.md

* Update DEVELOPMENT.md

* Update RNN.md

* Update and rename RNN_EN.md to RNN_CN.md

* Update README.md

* Update and rename README_en.md to README_CN.md

* Update README.md

* Update and rename README_en.md to README_CN.md

* Update README.md

* Update README_cn.md

* Rename README_cn.md to README_CN.md

* Update README.md

* Update README_cn.md

* Rename README_cn.md to README_CN.md

* Update export.md

* Update and rename export_EN.md to export_CN.md

* Update README.md

* Update README.md

* Create README_CN.md

* Update README.md

* Update README.md

* Update kunlunxin.md

* Update classification_result.md

* Update classification_result_EN.md

* Rename classification_result_EN.md to classification_result_CN.md

* Update detection_result.md

* Update and rename detection_result_EN.md to detection_result_CN.md

* Update face_alignment_result.md

* Update and rename face_alignment_result_EN.md to face_alignment_result_CN.md

* Update face_detection_result.md

* Update and rename face_detection_result_EN.md to face_detection_result_CN.md

* Update face_recognition_result.md

* Update and rename face_recognition_result_EN.md to face_recognition_result_CN.md

* Update headpose_result.md

* Update and rename headpose_result_EN.md to headpose_result_CN.md

* Update keypointdetection_result.md

* Update and rename keypointdetection_result_EN.md to keypointdetection_result_CN.md

* Update matting_result.md

* Update and rename matting_result_EN.md to matting_result_CN.md

* Update mot_result.md

* Update and rename mot_result_EN.md to mot_result_CN.md

* Update ocr_result.md

* Update and rename ocr_result_EN.md to ocr_result_CN.md

* Update segmentation_result.md

* Update and rename segmentation_result_EN.md to segmentation_result_CN.md

* Update README.md

* Update README.md

* Update quantize.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md
2023-01-06 18:01:34 +08:00
..
infer.py
[RKNPU2] Update quantitative model (#879)
2022-12-19 13:58:43 +08:00
README_CN.md
[Doc] Update English version of some documents (#1084)
2023-01-06 18:01:34 +08:00
README.md
[Doc] Update English version of some documents (#1084)
2023-01-06 18:01:34 +08:00

README.md

English | 简体中文

SCRFD Python Deployment Example

Two steps before deployment

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

Copy model files

Refer to SCRFD model conversion to convert SCRFD ONNX model to RKNN model and move it to this directory.

Run example

After copying model files, enter the following command to run it: RKNPU2 Python example

# Download the example code for deployment
git clone https://github.com/PaddlePaddle/FastDeploy.git
cd FastDeploy/examples/vision/facedet/scrfd/rknpu2/python

# Download images
wget https://raw.githubusercontent.com/DefTruth/lite.ai.toolkit/main/examples/lite/resources/test_lite_face_detector_3.jpg

# Inference
python3 infer.py --model_file ./scrfd_500m_bnkps_shape640x640_rk3588.rknn \
                 --image test_lite_face_detector_3.jpg

Visualization

The visualized result after running is as follows

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