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README.md

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FaceLandmark1000 Python Deployment Example

Before deployment, two steps require confirmation

This directory provides examples that infer.py fast finishes the deployment of FaceLandmark1000 models on CPU/GPU and GPU accelerated by TensorRT. FastDeploy version 0.7.0 or above (x.x.x>=0.7.0) is required to support this model. The script is as follows

# Download deployment example code 
git clone https://github.com/PaddlePaddle/FastDeploy.git
cd FastDeploy/examples/vision/facealign/facelandmark1000/python

# Download the FaceLandmark1000 model file and test images 
## Original ONNX Model
wget https://bj.bcebos.com/paddlehub/fastdeploy/FaceLandmark1000.onnx
wget https://bj.bcebos.com/paddlehub/fastdeploy/facealign_input.png

# CPU inference
python infer.py --model FaceLandmark1000.onnx --image facealign_input.png --device cpu
# GPU inference
python infer.py --model FaceLandmark1000.onnx --image facealign_input.png --device gpu
# TRT inference
python infer.py --model FaceLandmark1000.onnx --image facealign_input.png --device gpu --backend trt

The visualized result after running is as follows

FaceLandmark1000 Python Interface

fd.vision.facealign.FaceLandmark1000(model_file, params_file=None, runtime_option=None, model_format=ModelFormat.ONNX)

FaceLandmark1000 model loading and initialization, among which model_file is the exported ONNX model format

Parameter

  • 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 Function

FaceLandmark1000.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 for the description of the structure

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