Training image expansion method, training method and related device
A technology for training images and images, which is applied in the direction of neural learning methods, instruments, biological neural network models, etc., can solve problems such as large manpower consumption, inability to collect enough training data, unsatisfactory color recognition model recognition, etc., to achieve training Data requirements, the effect of improving accuracy
Active Publication Date: 2021-01-05
重庆紫光华山智安科技有限公司
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Problems solved by technology
[0002] The current method of pedestrian clothing color recognition based on deep learning relies on a large amount of labeled data and requires a lot of manpower on the data.
[0003] However, for some niche training data, it is not possible to collect enough training data, such as the pedestrian data of the brown coat, which hardly appears in a surveillance video. Due to the lack of these training data, the color recognition model is not good at these niche colors. Recognition is not always ideal
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[0030] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of the present application, but not all of the embodiments. The components of the embodiments of the present application generally described and illustrated in the drawings herein may be arranged and designed in a variety of different configurations.
[0031] Thus, the following detailed description of the embodiments of the application provided in the accompanying drawings is not intended to limit the scope of the application as claimed, but is merely representative of selected embodiments of the application. Based on the embodiments in the present application, all other embodiments obtained...
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The present application provides a method for expanding training images, a training method and related devices, which relate to the field of pedestrian recognition in machine learning. The method for expanding the training image includes: obtaining multiple images of pedestrians to be converted; the multiple images to be converted include at least two pedestrian color data of pedestrians; according to the multiple images to be converted, a color data generation model is obtained; the color data generation model is At least two kinds of pedestrian color data are trained under the generation confrontation network; multiple images to be converted are input to the color data generation model to obtain multiple target color images; the image to be converted and multiple target color images are used as a color training set . Using the data expansion method provided by this application, more specific color data can be obtained on the basis of real color data, thereby realizing the training data requirements for color recognition model training and improving the accuracy of color recognition.
Description
technical field [0001] The present application relates to the field of pedestrian recognition in machine learning, and in particular, to a training image expansion method, a training method, and a related device. Background technique [0002] At present, the color recognition method of pedestrian clothes based on deep learning relies on a large amount of labeled data, which requires a lot of manpower on the data. [0003] However, for some niche training data, enough training data cannot be collected, such as pedestrian data in brown shirts, which hardly appear in a surveillance video. Due to the lack of these training data, the color recognition model is on these niche colors. Recognition is always suboptimal. Therefore, how to quickly expand the color annotation data is a problem that needs to be solved at present. SUMMARY OF THE INVENTION [0004] In order to overcome the above deficiencies in the prior art, one of the objectives of the present application is to provi...
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IPC IPC(8): G06K9/62G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06V40/10G06N3/045G06F18/214
Inventor 鲍宗袍
Owner 重庆紫光华山智安科技有限公司