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https://github.com/NanjingForestryUniversity/supermachine--tomato-passion_fruit.git
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242bb9a71b
fix:修复在20240627test4中的classifier.py的analyze_tomato函数中white_defect的函数忘记传递两个阈值量的错误；修复analyze_tomato函数中的叶片实例分割存在的问题，解决由于变量污染引起的分割错误；
18 lines
365 B
Python
18 lines
365 B
Python
# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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"""Perform test request."""
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import pprint
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import requests
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DETECTION_URL = "http://localhost:5000/v1/object-detection/yolov5s"
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IMAGE = "zidane.jpg"
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# Read image
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with open(IMAGE, "rb") as f:
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image_data = f.read()
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response = requests.post(DETECTION_URL, files={"image": image_data}).json()
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pprint.pprint(response)
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