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[Serving] PaddleSeg add triton serving && simple serving example (#1171)
* Update keypointdetection result docs * Update im.copy() to im in examples * Update new Api, fastdeploy::vision::Visualize to fastdeploy::vision * Update SwapBackgroundSegmentation && SwapBackgroundMatting to SwapBackground * Update README_CN.md * Update README_CN.md * Update preprocessor.h * PaddleSeg supports triton serving * Add PaddleSeg simple serving example * Add PaddleSeg triton serving client code * Update triton serving runtime config.pbtxt * Update paddleseg grpc client * Add paddle serving README
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import requests
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import json
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import cv2
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import fastdeploy as fd
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from fastdeploy.serving.utils import cv2_to_base64
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if __name__ == '__main__':
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url = "http://127.0.0.1:8000/fd/ppliteseg"
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headers = {"Content-Type": "application/json"}
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im = cv2.imread("cityscapes_demo.png")
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data = {"data": {"image": cv2_to_base64(im)}, "parameters": {}}
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resp = requests.post(url=url, headers=headers, data=json.dumps(data))
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if resp.status_code == 200:
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r_json = json.loads(resp.json()["result"])
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result = fd.vision.utils.json_to_segmentation(r_json)
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vis_im = fd.vision.vis_segmentation(im, result, weight=0.5)
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cv2.imwrite("visualized_result.jpg", vis_im)
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print("Visualized result save in ./visualized_result.jpg")
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else:
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print("Error code:", resp.status_code)
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print(resp.text)
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