Exercise search method, apparatus and device, and storage medium
A search method and technique for exercises, applied in the fields of devices, exercise search methods, equipment, and storage media, can solve problems such as inability to accurately search for exercises containing pictures, and achieve the effects of ensuring search accuracy, improving user experience, and reducing invalid areas
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Embodiment 1
[0047] figure 1 It is a flow chart of an exercise search method provided in Embodiment 1 of the present application. The exercise search method provided in the embodiments can be executed by an exercise search device, which can be realized by software and / or hardware, and integrated in an exercise search device. Wherein, the exercise search device may be an intelligent device with data processing and analysis capabilities such as a tutor machine, a computer, and a mobile phone. In the embodiment, the exercise search device is taken as an example of a tutor machine.
[0048] Specifically, refer to figure 1 , the exercise search method specifically includes:
[0049] Step 110, acquire the picture to be processed.
[0050] Specifically, the picture to be processed is a picture containing exercises and used for searching related exercises. At least one exercise problem is included in the picture to be processed. In the embodiment, the picture to be processed contains an exer...
Embodiment 2
[0064] figure 2 It is a flow chart of an exercise search method provided in Embodiment 2 of the present application. The exercise search method provided in this embodiment is embodied on the basis of the foregoing embodiments. Specifically, refer to figure 2 , the exercise search method provided in this embodiment includes:
[0065] Step 210, acquire the picture to be processed.
[0066] Step 220, acquire the picture frame and color of each sub-content picture in the picture to be processed.
[0067] Specifically, it is set that the exercises in the pictures to be processed include at least one picture, that is, at least one sub-content picture. At this time, the exercise content contained in the clipped sub-picture should contain at least one sub-content picture.
[0068] Exemplarily, YOLOv3 is a neural network model under the YOLO series, and a single sub-content picture in the picture to be processed can be identified through the YOLOv3 network model. In the embodim...
Embodiment 3
[0101] image 3 It is a schematic structural diagram of an exercise search device provided in Embodiment 3 of the present application. refer to image 3 , The exercise search device provided in this embodiment includes: a picture acquisition module 301 , a picture clipping module 302 , a coding confirmation module 303 and a question search module 304 .
[0102] Wherein, the picture acquisition module 301 is used to obtain the picture to be processed; the picture clipping module 302 is used to cut the picture to be processed to obtain a sub-picture, which contains exercise content; the coding confirmation module 303 uses In order to confirm the first vector code of the sub-picture; the exercise search module 304 is configured to search an exercise search engine for an effective exercise picture as the exercise search result of the picture to be processed based on the first vector code.
[0103] As mentioned above, by obtaining the picture to be processed, cutting the picture ...
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