Compartment loading rate evaluation method and device and storage medium

The invention discloses a compartment loading rate evaluation method and device and a storage medium, and belongs to the technical field of image processing. The compartment loading rate evaluation method disclosed by the invention comprises the following steps: firstly, carrying out image semantic segmentation on a preprocessed image containing a compartment opening by utilizing different convolutional neural networks to obtain a compartment opening prediction image and a cargo prediction image respectively; respectively processing the carriage opening prediction image and the cargo prediction image by using a threshold segmentation method to obtain a carriage opening binary image and a cargo binary image; and obtaining the carriage loading rate by utilizing the intersection ratio of thefirst area occupied by the carriage opening in the carriage opening binary image to the second area occupied by the goods in the goods binary image. The compartment loading rate is evaluated by analyzing the video data of the