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* Add Sophgo Device add sophgo backend in fastdeploy add resnet50, yolov5s, liteseg examples. * replace sophgo lib with download links; fix model.cc bug * modify CodeStyle * remove unuseful files;change the names of sophgo device and sophgo backend * sophgo support python and add python examples * remove unuseful rows in cmake according pr Co-authored-by: Zilong Xing <zilong.xing@sophgo.com>
41 lines
964 B
Python
41 lines
964 B
Python
import fastdeploy as fd
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import cv2
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import os
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def parse_arguments():
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import argparse
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import ast
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parser = argparse.ArgumentParser()
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parser.add_argument("--model", required=True, help="Path of model.")
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parser.add_argument(
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"--image", type=str, required=True, help="Path of test image file.")
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return parser.parse_args()
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args = parse_arguments()
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# 配置runtime，加载模型
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runtime_option = fd.RuntimeOption()
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runtime_option.use_sophgo()
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model_file = args.model
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params_file = ""
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model = fd.vision.detection.YOLOv5(
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model_file,
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params_file,
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runtime_option=runtime_option,
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model_format=fd.ModelFormat.SOPHGO)
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# 预测图片分类结果
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im = cv2.imread(args.image)
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result = model.predict(im)
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print(result)
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# 预测结果可视化
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vis_im = fd.vision.vis_detection(im, result)
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cv2.imwrite("sophgo_result.jpg", vis_im)
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print("Visualized result save in ./sophgo_result.jpg")
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