Tongue image data analysis method based on strong supervision algorithm and deep learning network
A technology of deep learning network and supervised algorithm, applied in the field of tongue image data analysis based on strong supervision algorithm and deep learning network, can solve problems such as labor-intensive, subjective factors of diagnosis results, inability to quantify tongue coating and tongue quality analysis, etc.
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[0015] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0016] The present invention provides a tongue image data analysis method based on a strong supervision algorithm and a deep learning network, specifically as follows:
[0017] 1, the concrete flow process of the present invention
[0018] Depend on figure 1 The specific flow chart of the present invention is given. The user terminal obtains the camera authority and takes pictures, and manually labels the bounding box of the tongue area of each picture to obtain the label data set. The output result of the model is used as the data source of the picture frame on the screen, and Input the label data set into the YOLO network, and the YOLO model will finally output the picture set m...
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