forked from PulseFocusPlatform/PulseFocusPlatform
54 lines
1.6 KiB
Python
54 lines
1.6 KiB
Python
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# copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import requests
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import json
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import cv2
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import base64
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import time
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import numpy as np
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def cv2_to_base64(image):
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data = cv2.imencode('.jpg', image)[1]
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return base64.b64encode(data.tostring()).decode('utf8')
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def base64_to_cv2(b64str):
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data = base64.b64decode(b64str.encode('utf8'))
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data = np.fromstring(data, np.uint8)
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data = cv2.imdecode(data, cv2.IMREAD_COLOR)
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return data
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# Send HTTP request
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org_im = cv2.cvtColor(cv2.imread('demo_images/test.jpg'), cv2.COLOR_BGR2RGB)
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h, w, c = org_im.shape
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hat_ids = 1
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data = {
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'images': [cv2_to_base64(org_im)],
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'background': 3,
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"beard": 2,
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"glasses": 3,
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"hat": 3
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}
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headers = {"Content-type": "application/json"}
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url = "http://127.0.0.1:8880/predict/solov2_blazeface"
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start = time.time()
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r = requests.post(url=url, headers=headers, data=json.dumps(data))
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end = time.time()
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print('cost:', end - start)
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result = base64_to_cv2(r.json()["results"]['image'])
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cv2.imwrite("chrismas_final.png", result)
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