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* [Docs] Pick seg fastdeploy docs from PaddleSeg * [Docs] update seg docs * [Docs] Add c&csharp examples for seg * [Docs] Add c&csharp examples for seg * [Doc] Update paddleseg README.md * Update README.md
35 lines
927 B
Python
Executable File
35 lines
927 B
Python
Executable File
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(
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"--model", required=True, help="Path of PaddleSeg 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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runtime_option = fd.RuntimeOption()
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runtime_option.use_ascend()
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# setup runtime
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model_file = os.path.join(args.model, "model.pdmodel")
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params_file = os.path.join(args.model, "model.pdiparams")
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config_file = os.path.join(args.model, "deploy.yaml")
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model = fd.vision.segmentation.PaddleSegModel(
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model_file, params_file, config_file, runtime_option=runtime_option)
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# predict
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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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# visualize
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vis_im = fd.vision.vis_segmentation(im, result, weight=0.5)
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cv2.imwrite("vis_img.png", vis_im)
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