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Automatic jigsaw puzzle method and device, server and storage medium

An automatic and image technology, applied in the field of artificial intelligence, can solve the problem of low accuracy

Pending Publication Date: 2022-03-25
SUZHOU RIPPLEINFO TECH CO LTD
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Problems solved by technology

To at least solve the problem of low accuracy of other task models obtained by fine-tuning the pre-trained model in related technologies

Method used

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  • Automatic jigsaw puzzle method and device, server and storage medium
  • Automatic jigsaw puzzle method and device, server and storage medium
  • Automatic jigsaw puzzle method and device, server and storage medium

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Embodiment Construction

[0065] In order to enable ordinary persons in the art to better understand the technical solutions of the present disclosure, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the accompanying drawings.

[0066] It should be noted that the terms "first" and "second" in the specification and claims of the present disclosure and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the disclosure described herein can be practiced in sequences other than those illustrated or described herein. The implementations described in the following exemplary examples do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatuses and methods consi...

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Abstract

The invention relates to an automatic jigsaw puzzle method and device, a server and a storage medium. The automatic picture splicing method comprises the following steps: acquiring a first block image sequence; the first block image sequence is input into a prediction model, the position of each block image in the first block image sequence is output through the prediction model, and the prediction model is set to be obtained through training according to the corresponding relation between block image samples and the positions of the block image samples; and according to the position, splicing the block image sequence to obtain a spliced image. According to the embodiment of the invention, the position of each block image of which the sequence is disordered can be automatically predicted, and automatic puzzle can be carried out. The prediction features can express the block images more comprehensively, and support is provided for later transfer learning to other task models.

Description

technical field [0001] The present disclosure relates to the technical field of artificial intelligence, and in particular to an automatic mosaic method, device, server and storage medium. Background technique [0002] With the development of artificial intelligence technology, pre-trained models in the image field have emerged. The pre-training model includes using the training method of machine learning to obtain a model that has nothing to do with specific tasks from large-scale data, and fine-tuning the pre-training model combined with specific tasks in the later stage to obtain a model with multiple task functions. Therefore, pre-training can reduce the difficulty of model training and improve the accuracy of model training. [0003] In related technologies, a supervised training method is used to obtain a pre-training model in the image field. The supervised training relies on manually labeled data, and the cost is relatively high. Supervised pre-training models are ...

Claims

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Application Information

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IPC IPC(8): G06T3/40G06N3/04G06N3/08
CPCG06T3/4038G06N3/04G06N3/08
Inventor 吴天鹏刘晓稳刘杨朱维君
Owner SUZHOU RIPPLEINFO TECH CO LTD
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