# 基于深度学习的舌苔检测毕设（EffcientNet）
# Graduation design of tongue coating detection based on deep learning
基于深度学习的舌苔识别检测鉴定系统python源码+pyqt5界面+模型+毕业论文.zip
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基于深度学习的舌苔识别检测鉴定系统python源码+pyqt5界面+模型+毕业论文.zip （110个子文件） 
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基于机器学习的舌苔检测.docx 2.8MB 毕业设计（论文）开题报告.docx 134KB
320.jpg 294KB back2.jpg 244KB back.jpg 231KB main2.jpg 195KB 运行截图1.jpg 104KB 5.jpg 34KB user_load.jpg 12KB class_indices.json 64B class_indices.json 60B class_indices.json 60B class_indices.json 48B class_indices.json 42B README.md 276B
6.png 287KB 1.png 86KB efficientnetb0.pth 20.43MB model-29.pth 15.59MB model-29.pth 15.59MB model-29.pth 15.58MB model-29.pth 15.58MB model-29.pth 15.58MB model.py 14KB home.py 12KB seg_tongue_work.py 11KB gan1.py 9KB GAN.py 9KB image_enhance.py 9KB coated_train.py 6KB train.py 6KB indent_train.py 6KB color_train.py 6KB crack_train.py 6KB utils.py 6KB color_val.py 5KB out.py 5KB home_page.py 3KB crack_predict.py 2KB predict.py 2KB indent_predict.py 2KB coated_predict.py 2KB color_predict.py 2KB tongue_predict.py 1KB tongue_predict.py 1KB pretreatment.py 1KB my_dataset.py 1KB mean_variance.py 913B imgShow.py 291B model.cpython-36.pyc 10KB seg_tongue_work.cpython-36.pyc 6KB utils.cpython-36.pyc 5KB home_page.cpython-36.pyc 2KB共 110 条
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