Image processing method, device and equipment and storage medium
An image processing and feature image technology, applied in the field of image processing, can solve the problems of low traffic light positioning and classification accuracy, poor detection effect, etc., to improve the positioning and classification accuracy, and enhance the effect of semantic information.
Pending Publication Date: 2020-10-02
NAVINFO
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[0004] However, the existing detection methods often have low positioning and classification accuracy for traffic lights, and the detection effect is not good.
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[0026] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0027] The terms "first", "second", "third", "fourth", etc. (if any) in the description and claims of the present invention and the above drawings are used to distinguish similar objects, and not necessarily Used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate ci...
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The invention provides an image processing method, apparatus and device, and a storage medium. The method comprises the steps of obtaining an initial image; convolution processing is carried out on the initial image to obtain feature images of different sizes; if at least one target object smaller than a preset first threshold value exists in the initial image, feature images of different sizes are adopted for fusion processing, and a corresponding fusion image is obtained; and positioning and classifying the target object in the fused image through a target neural network to obtain the category and coordinate information of the target object. Therefore, the feature images of different sizes can be respectively selected for fusion according to the size of the target object, the semantic information of the low-layer image is enhanced, the target object is positioned and classified under the optimal receptive field through the fusion images of different sizes, and the positioning and classification precision of the target object is greatly improved.
Description
technical field [0001] The present invention relates to the technical field of image processing, in particular to an image processing method, device, equipment and storage medium. Background technique [0002] With the continuous development of autonomous driving technology. Computer vision plays an important role in autonomous driving technology, and the detection and recognition of traffic lights is an important part of visual recognition. [0003] At present, the detection methods of traffic lights can be divided into two stages and one stage. The 2-stage is named for its two-stage processing of the picture, also known as the region-based method. First, the feature map of the picture is generated, and the classification and positioning of the target are performed on the feature map. In the first stage, there is no intermediate region detection process, and the predicted results are obtained directly from the picture. [0004] However, the existing detection methods oft...
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Login to View More IPC IPC(8): G06K9/00G06K9/62G06N3/04
CPCG06V20/584G06N3/045G06F18/24G06F18/25
Inventor 王鹏俞鸿魁
Owner NAVINFO