Inclined three-dimensional model vehicle removal method based on deep learning

The invention provides an inclined three-dimensional model vehicle removal method based on deep learning, and the method mainly comprises three parts: data preprocessing, vehicle extraction, and vehicle removal. The method has the beneficial effects that an inclined three-dimensional model vehicle removal algorithm based on the deep convolutional neural network is provided; aiming at the problem of vehicle deformation caused by vehicle movement in an inclined three-dimensional model, the invention provides an inclined three-dimensional model vehicle removal method based on deep learning, which comprises the following steps of: firstly, detecting a vehicle in the three-dimensional model by utilizing a deep vehicle detection network YOLOX, positioning the position of the vehicle, and then, erasing the vehicle by utilizing a depth image restoration algorithm; and road textures are automatically filled. Compared with a manual vehicle removal algorithm based on Photoshop, the method provided by the invention has t