Three-dimensional model data deduplication method and device, equipment and storage medium
The embodiment of the invention provides a three-dimensional model data deduplication method and device, equipment and a storage medium. The method comprises the following steps: constructing a corresponding to-be-trained classification model based on at least one set of model configuration paramete...
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creator | HE JIAWEN CHENG XIANGLING WANG YIFAN WU MAOXI |
description | The embodiment of the invention provides a three-dimensional model data deduplication method and device, equipment and a storage medium. The method comprises the following steps: constructing a corresponding to-be-trained classification model based on at least one set of model configuration parameters; then, training each to-be-trained classification model based on set original model data to obtain candidate classification models; thirdly, counting the classification accuracy of the candidate classification models, and determining an optimal classification model from the candidate classification models according to a statistical result; obtaining to-be-processed model data, and inputting the to-be-processed model data into the optimal classification model to obtain a model repetition result; and finally, performing duplicate removal processing on the to-be-processed model data based on a model duplicate result to obtain target model data. According to the method, the to-be-processed model data is subjected to |
format | Patent |
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The method comprises the following steps: constructing a corresponding to-be-trained classification model based on at least one set of model configuration parameters; then, training each to-be-trained classification model based on set original model data to obtain candidate classification models; thirdly, counting the classification accuracy of the candidate classification models, and determining an optimal classification model from the candidate classification models according to a statistical result; obtaining to-be-processed model data, and inputting the to-be-processed model data into the optimal classification model to obtain a model repetition result; and finally, performing duplicate removal processing on the to-be-processed model data based on a model duplicate result to obtain target model data. 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The method comprises the following steps: constructing a corresponding to-be-trained classification model based on at least one set of model configuration parameters; then, training each to-be-trained classification model based on set original model data to obtain candidate classification models; thirdly, counting the classification accuracy of the candidate classification models, and determining an optimal classification model from the candidate classification models according to a statistical result; obtaining to-be-processed model data, and inputting the to-be-processed model data into the optimal classification model to obtain a model repetition result; and finally, performing duplicate removal processing on the to-be-processed model data based on a model duplicate result to obtain target model data. 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The method comprises the following steps: constructing a corresponding to-be-trained classification model based on at least one set of model configuration parameters; then, training each to-be-trained classification model based on set original model data to obtain candidate classification models; thirdly, counting the classification accuracy of the candidate classification models, and determining an optimal classification model from the candidate classification models according to a statistical result; obtaining to-be-processed model data, and inputting the to-be-processed model data into the optimal classification model to obtain a model repetition result; and finally, performing duplicate removal processing on the to-be-processed model data based on a model duplicate result to obtain target model data. According to the method, the to-be-processed model data is subjected to</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS |
title | Three-dimensional model data deduplication method and device, equipment and storage medium |
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