: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:用于存放红外未处理的图像 output_dir_ir:用于存放红外处理后的...
xinxin12345/DroneVehicle master 1Branch 0Tags Code dataset_sample.png Add files via upload Mar 5, 2020 README VisDrone-DroneVehicle Camera-equipped drones can capture targets on the ground from a wider field of view than static cameras or moving sensors over the ground. In this project, we ...
The DroneVehicle dataset can be download from https://github.com/VisDrone/DroneVehicle. 中文翻译: 基于无人机的 RGBT 车辆检测和计数:挑战 配备摄像头的无人机可以从比静态摄像头或地面移动传感器更广的视野中捕捉地面目标。在本文中,我们提出了一个名为 DroneVehicle 的大规模车辆检测和计数基准,旨在...
Extensive experiments on the DroneVehicle dataset demonstrate the flexibility and effectiveness of the proposed method for cross-modality vehicle detection. Dataset The DroneVehicle dataset consists of a total of 56,878 images collected by the drone, half of which are RGB images, and the resting ...
Extensive experiments on the DroneVehicle dataset demonstrate the flexibility and effectiveness of the proposed method for crossmodality vehicle detection. The dataset can be download from https://github.com/VisDrone/DroneVehicle. PDF Abstract
Because there is rare masked vehicle dataset from drone shooting, We label a new dataset with mask labels from the drone shooting view. Experimental results show that the utilization of features from different perspectives and the learning of difficult samples effectively improve the Re-ID performance...
Extensive experiments on the DroneVehicle dataset demonstrate the flexibility and effectiveness of the proposed method for crossmodality vehicle detection. The dataset can be download from this https URL . 展开 关键词: Vehicle detection Object detection Uncertainty Drones Surveillance Lighting Sun ...
The specific steps are as follows: Firstly, collect historical carbon emission data and preprocess the data to ensure its completeness and consistency, handling any missing data appropriately. Split the dataset into training, validation, and test sets. Apply the DARTS method on the preprocessed histor...
As a large-scale dataset with both RGB and thermal infrared (RGBT) images, the benchmark enables extensive evaluation and investigation of visual analysis algorithms on the drone platform. In particular, we design two popular tasks with the benchmark, including object detection and object counting...
History 9 Commits README.md dataset_sample.png label_sample.png VisDrone-DroneVehicle Camera-equipped drones can capture targets on the ground from a wider field of view than static cameras or moving sensors over the ground. In this project, we present a large-scale vehicle detection and counti...