FastDeploy/examples/vision/facedet/blazeface/python

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BlazeFace Python Deployment Example

Before deployment, two steps require confirmation

• 1. Software and hardware should meet the requirements. Please refer to FastDeploy Environment Requirements
• 2. Install FastDeploy Python whl package. Refer to FastDeploy Python Installation

This directory provides examples that infer.py fast finishes the deployment of BlazeFace on CPU/GPU.

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

# Download BlazeFace model files and test images
wget https://raw.githubusercontent.com/DefTruth/lite.ai.toolkit/main/examples/lite/resources/test_lite_face_detector_3.jpg
wget https://bj.bcebos.com/paddlehub/fastdeploy/blazeface-1000e.tgz

# Use blazeface-1000e model
# CPU Inference
python infer.py --model blazeface-1000e/ --image test_lite_face_detector_3.jpg --device cpu
# GPU Inference
python infer.py --model blazeface-1000e/ --image test_lite_face_detector_3.jpg --device gpu

The visualized result after running is as follows

BlazeFace Python Interface

fastdeploy.vision.facedet.BlzaeFace(model_file, params_file=None, runtime_option=None, config_file=None, model_format=ModelFormat.PADDLE)

BlazeFace model loading and initialization, among which model_file is the exported PADDLE model format

Parameter

• model_file(str): Model file path
• params_file(str): Parameter file path. No need to set when the model is in PADDLE format
• config_file(str): config file path. No need to set when the model is in PADDLE format
• runtime_option(RuntimeOption): Backend inference configuration. None by default, which is the default configuration
• model_format(ModelFormat): Model format. PADDLE format by default

predict function

BlazeFace.predict(input_image)

Through let BlazeFace.postprocessor.conf_threshold = 0.2，to modify conf_threshold

Model prediction interface. Input images and output detection results.

Parameter

• input_image(np.ndarray): Input image in HWC or BGR format

Return

Returnfastdeploy.vision.FaceDetectionResult structure. Refer to Vision Model Prediction Results for its description.

Other Documents

• BlazeFace Model Description
• BlazeFace C++ Deployment
• Model Prediction Results