Image set generating method and device and image recognition model training method and system
A technology of image recognition and image collection, applied in the field of image recognition, can solve the problems of limited improvement of model training effect and no significant increase in the dimension of image collection, etc., achieve good data quality, improve generation efficiency, and reduce the influence of background noise and clutter Effect
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Embodiment 1
[0036] This embodiment provides a method for generating an image set for image recognition. The images herein include pictures, and may also include animations, video segments, and the like. Such as figure 1 As shown, the method of this embodiment includes:
[0037] Step 110, obtaining 3D models of multiple categories;
[0038] The categories here can be various according to business needs.
[0039] In the business field involving commodity trading, categories can be divided according to individual items such as beds, sofas, TV sets, shoes, etc., and each item can also be subdivided, such as Nike, Adidas and other brand shoes as a category. At this point the 3D model is a 3D model of these items. A category such as sofas has some common features, and there are also differences within the category (such as leather sofas and cloth sofas), and one or more 3D models can be obtained according to application requirements.
[0040] For another example, in the business field invol...
Embodiment 2
[0068] This embodiment provides a training method for an image recognition model, such as Figure 4 shown, including:
[0069] Step 210, determine the category of the image to be recognized, and there are multiple categories;
[0070] Similar to Embodiment 1, the categories of images to be recognized in this embodiment can be defined according to the needs of different services.
[0071] Step 220, acquiring 3D models of the multiple categories, rendering the 3D models to generate images of the multiple categories, and obtaining an image set of a predetermined scale by changing rendering parameters;
[0072] The generation of the image set in this embodiment may adopt any of the methods described in Embodiment 1.
[0073] Step 230, using the image set to train an image recognition model.
[0074] In this embodiment, the image recognition model is a deep learning model used for image recognition. The deep learning model can be designed with reference to LeNet, AlexNet, VGG, ...
Embodiment 3
[0083] At present, after users see the decoration they like, they don't necessarily know the style of the decoration. They need to search a large amount of information on the Internet, and then select useful information. This embodiment applies the above image set generation method and image recognition model training method to the decoration business, which can solve this problem. Users only need to upload the corresponding images to obtain the required information.
[0084] The image set generation based on the present embodiment and the training method of the image recognition model include:
[0085]Step 1, determining the category of the image to be recognized, the category is set according to the decoration style of the architectural scene;
[0086] For example, for architectural scenes such as living room, bedroom, bathroom, dining room, balcony, etc., each scene defines multiple categories. For example, living room and bedroom can define 9 categories, corresponding to t...
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