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README.md

English | 简体中文

YOLOv5Cls Python Deployment Example

Before deployment, two steps require confirmation.

This directory provides examples that infer.py fast finishes the deployment of YOLOv5Cls on CPU/GPU and GPU accelerated by TensorRT. The script is as follows

# Download deployment example code 
git clone https://github.com/PaddlePaddle/FastDeploy.git
cd examples/vision/classification/yolov5cls/python/

# Download the YOLOv5Cls model file and test images 
wget https://bj.bcebos.com/paddlehub/fastdeploy/yolov5n-cls.onnx
wget https://gitee.com/paddlepaddle/PaddleClas/raw/release/2.4/deploy/images/ImageNet/ILSVRC2012_val_00000010.jpeg

# CPU inference
python infer.py --model yolov5n-cls.onnx --image ILSVRC2012_val_00000010.jpeg --device cpu --topk 1
# GPU inference
python infer.py --model yolov5n-cls.onnx --image ILSVRC2012_val_00000010.jpeg --device gpu --topk 1
# TensorRT inference on GPU 
python infer.py --model yolov5n-cls.onnx --image ILSVRC2012_val_00000010.jpeg --device gpu --use_trt True

The result returned after running is as follows

ClassifyResult(
label_ids: 265,
scores: 0.196327,
)

YOLOv5Cls Python Interface

fastdeploy.vision.classification.YOLOv5Cls(model_file, params_file=None, runtime_option=None, model_format=ModelFormat.ONNX)

YOLOv5Cls 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. (use the default configuration)
  • model_format(ModelFormat): Model format. ONNX format by default

predict Function

YOLOv5Cls.predict(image_data, topk=1)

Model prediction interface. Input images and output classification topk results directly.

Parameter

  • input_image(np.ndarray): Input data in HWC or BGR format
  • topk(int): Return the topk classification results with the highest prediction probability. Default 1

Return

Return fastdeploy.vision.ClassifyResult structure. Refer to Vision Model Prediction Results for the description of the structure.

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