Image processing method and image processing device

Abstract

The invention provides an image processing method and an image processing device. The method comprises the following steps of: constructing a map environment based on map data; recording the video picture of the vehicle during driving and the driving data of the vehicle by a video camera, wherein the video picture includes: a video picture of a peripheral vehicle and a traffic environment change during driving of the vehicle; according to the video picture and the driving data of the vehicle, simulating the driving state and the traffic environment change of the surrounding vehicles in the mapenvironment, and constructing the test scene, extracting the image picture of the test scene and the information of the object unit in the image picture of the test scene, and labeling the image picture according to the information of the object unit; saving an image picture of the annotated test scene as a training material for perceptual training of the autopilot system. The present applicationeliminates the huge cost of purchasing a large amount of image data and labeling pictures manually, improves labeling efficiency and accuracy, and makes the trained neural network more accurate.

Description

technical field [0001] The present application relates to the field of image processing, and in particular to an image processing method and an image processing device. Background technique [0002] The perception training of the automatic driving system needs to mark the original picture, mark out various object units in the picture, and then send the marked picture and the original picture together to the neural network training model for training. However, in the prior art, the general picture labeling is done manually. Specifically, the staff divides each object unit on the picture and gives each object unit a marked name. The problem with this method is that it costs a lot of money to purchase image data first, and it takes a few dollars to more than ten dollars to manually label an image, and perception training requires a lot of pictures, so it needs A large amount of manpower and material resources lead to huge costs and low efficiency, and it is more likely that la...

AI Technical Summary

Problems solved by technology

[0003] The present application provides an image processing method and an image processing device, which can eliminate the need to purchase a large amount of image data and manually label the original pictures for the perception training of the automatic driving system in the prior art, resulting in low efficiency, high cost and error-prone labeling The problem

Images