mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-06 00:57:33 +08:00
cbf88a46fa
* 第一次提交 * 补充一处漏翻译 * deleted: docs/en/quantize.md * Update one translation * Update en version * Update one translation in code * Standardize one writing * Standardize one writing * Update some en version * Fix a grammer problem * Update en version for api/vision result * Merge branch 'develop' of https://github.com/charl-u/FastDeploy into develop * Checkout the link in README in vision_results/ to the en documents * Modify a title * Add link to serving/docs/ * Finish translation of demo.md * Update english version of serving/docs/ * Update title of readme * Update some links * Modify a title * Update some links * Update en version of java android README * Modify some titles * Modify some titles * Modify some titles * modify article to document * update some english version of documents in examples * Add english version of documents in examples/visions * Sync to current branch * Add english version of documents in examples * Add english version of documents in examples * Add english version of documents in examples * Update some documents in examples * Update some documents in examples * Update some documents in examples * Update some documents in examples * Update some documents in examples * Update some documents in examples * Update some documents in examples * Update some documents in examples * Update some documents in examples
72 lines
2.8 KiB
Markdown
Executable File
72 lines
2.8 KiB
Markdown
Executable File
English | [简体中文](README_CN.md)
|
|
# PFLD Python Deployment Example
|
|
|
|
Before deployment, two steps require confirmation
|
|
|
|
- 1. Software and hardware should meet the requirements. Please refer to [FastDeploy Environment Requirements](../../../../../docs/en/build_and_install/download_prebuilt_libraries.md)
|
|
- 2. Install FastDeploy Python whl package. Refer to [FastDeploy Python Installation](../../../../../docs/en/build_and_install/download_prebuilt_libraries.md)
|
|
|
|
This directory provides examples that `infer.py` fast finishes the deployment of PFLD on CPU/GPU and GPU accelerated by TensorRT. FastDeploy version 0.6.0 or above is required to support this model. The script is as follows
|
|
|
|
```bash
|
|
# Download deployment example code
|
|
git clone https://github.com/PaddlePaddle/FastDeploy.git
|
|
cd FastDeploy/examples/vision/facealign/pfld/python
|
|
|
|
# Download the PFLD model files, test images, and videos
|
|
## Original ONNX Model
|
|
wget https://bj.bcebos.com/paddlehub/fastdeploy/pfld-106-lite.onnx
|
|
wget https://bj.bcebos.com/paddlehub/fastdeploy/facealign_input.png
|
|
# CPU inference
|
|
python infer.py --model pfld-106-lite.onnx --image facealign_input.png --device cpu
|
|
# GPU inference
|
|
python infer.py --model pfld-106-lite.onnx --image facealign_input.png --device gpu
|
|
# TRT inference
|
|
python infer.py --model pfld-106-lite.onnx --image facealign_input.png --device gpu --backend trt
|
|
```
|
|
|
|
The visualized result after running is as follows
|
|
|
|
<div width="500">
|
|
<img width="470" height="384" float="left" src="https://user-images.githubusercontent.com/19977378/197931737-c2d8e760-a76d-478a-a6c9-4574fb5c70eb.png">
|
|
</div>
|
|
|
|
## PFLD Python Interface
|
|
|
|
```python
|
|
fd.vision.facealign.PFLD(model_file, params_file=None, runtime_option=None, model_format=ModelFormat.ONNX)
|
|
```
|
|
|
|
PFLD model loading and initialization, among which model_file is the exported ONNX model format
|
|
|
|
**Parameters**
|
|
|
|
> * **model_file**(str): Model file path
|
|
> * **params_file**(str): Parameter file path. No need to set when the model is in ONNX format
|
|
> * **runtime_option**(RuntimeOption): Backend inference configuration. None by default, which is the default configuration
|
|
> * **model_format**(ModelFormat): Model format. ONNX format by default
|
|
|
|
### predict Parameter
|
|
|
|
> ```python
|
|
> PFLD.predict(input_image)
|
|
> ```
|
|
>
|
|
> Model prediction interface. Input images and output landmarks results directly
|
|
>
|
|
> **Parameter**
|
|
>
|
|
> > * **input_image**(np.ndarray): Input data in HWC or BGR format
|
|
|
|
> **Return**
|
|
>
|
|
> > Return `fastdeploy.vision.FaceAlignmentResult` structure. Refer to [Vision Model Prediction Results](../../../../../docs/api/vision_results/) for the description of the structure.
|
|
|
|
|
|
## Other Documents
|
|
|
|
- [PFLD Model Description](..)
|
|
- [PFLD C++ Deployment](../cpp)
|
|
- [Model Prediction Results](../../../../../docs/api/vision_results/)
|
|
- [How to switch the model inference backend engine](../../../../../docs/en/faq/how_to_change_backend.md)
|