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51 lines
1.4 KiB
Python
51 lines
1.4 KiB
Python
# -*- encoding: utf-8 -*-
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# @Author: SWHL
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# @Contact: liekkaskono@163.com
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import base64
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import time
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import requests
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url = "http://localhost:9003/ocr"
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img_path = "../python/tests/test_files/ch_en_num.jpg"
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# 方式一：使用base64编码传
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stime = time.time()
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with open(img_path, "rb") as fa:
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img_str = base64.b64encode(fa.read())
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payload = {"image_data": img_str}
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response = requests.post(url, data=payload) # , timeout=60
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print(response.json())
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etime = time.time() - stime
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print(f"用时:{etime:.3f}秒")
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print("-" * 40)
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# 方式二：使用文件上传方式
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stime = time.time()
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with open(img_path, "rb") as f:
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file_dict = {"image_file": (img_path, f, "image/png")}
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response = requests.post(url, files=file_dict) # , timeout=60
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print(response.json())
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etime = time.time() - stime
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print(f"用时:{etime:.3f}秒")
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print("-" * 40)
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# 方式三：控制是否使用检测、方向分类和识别这三部分的模型； 不使用检测模型:use_det=False
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stime = time.time()
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img_path = "../python/tests/test_files/test_without_det.jpg"
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with open(img_path, "rb") as f:
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file_dict = {"image_file": (img_path, f, "image/png")}
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# 添加控制参数
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data = {"use_det": False, "use_cls": True, "use_rec": True}
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response = requests.post(url, files=file_dict, data=data) # , timeout=60
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print(response.json())
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etime = time.time() - stime
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print(f"用时:{etime:.3f}秒")
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print("-" * 40)
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