:update(path[0],path[1])print('Start transforming infrared images...')forpathintqdm(image_filenames_ir):update(path[0],path[1]) dataset_dir_vi:用于存放可见光未处理的图像 output_dir_vi:用于存放可见光处理后的图像 dataset_dir_ir:用于存放红
extremely challenging in the proposed dataset due to factors such as illumination, occlusion, and scale variations. We hope the benchmark largely boost the research and development in visual analysis on drone platforms. The DroneVehicle dataset can be download from https://github.com/VisDrone/Drone...
参考Train your own dataset 关于文件夹中的 VisDrone 数据集是我从原版的VisDrone-Dataset数据集中选出来的有车辆信息的一部分,如果需要重新训练需要执行以下脚本,重新生成 label 文件 TODO Reference tensorflow-yolov3 tensorflow-serving-yolov3 iou-tracker ...
Furthermore, we provide a large-scale naturalistic vehicle trajectory dataset from German highways called highD. We evaluate the data in terms of quantity, variety and contained scenarios. Our dataset consists of 16.5 hours of measurements from six locations with 110 000 vehicles, a total driven ...