img에서 video로 변환하는 code import os import cv2 pathIn= './result/' pathOut = './result/result.mp4' fps = 5 paths = os.listdir('./result/') frame_array = [] for idx , path in enumerate(paths) : path = os.path.join(pathIn + path) img = cv2.imread(path) height, width, layers = img.shape size = (width,height) frame_array.append(img) out = cv2.VideoWriter(pathOut,cv2.VideoWriter_fourcc(*'DIVX'), fps, si..
https://github.com/zzzxxxttt/simple_kitti_visualization GitHub - zzzxxxttt/simple_kitti_visualization: simple visualization scripts for Kitti and Semantic Kitti dataset simple visualization scripts for Kitti and Semantic Kitti dataset - GitHub - zzzxxxttt/simple_kitti_visualization: simple visualization scripts for Kitti and Semantic Kitti dataset github.com Requirements python >= 3.6 numpy matp..
https://arxiv.org/abs/2309.06036 Which Framework is Suitable for Online 3D Multi-Object Tracking for Autonomous Driving with Automotive 4D Imaging Radar? Online 3D multi-object tracking (MOT) has recently received significant research interests due to the expanding demand of 3D perception in advanced driver assistance systems (ADAS) and autonomous driving (AD). Among the existing 3D MOT framewor..
1. Joint Multi-Object Detection and Tracking with Camera-LiDAR Fusion for Autonomous Driving https://ieeexplore.ieee.org/abstract/document/9636311?casa_token=4YRWeM2IXiAAAAAA:hZApb5DNKZEFizDAG0v_Xmlwq1FlsqvQ34xVpfjGQmkIYsnzRyqaHmwY5IIdejAWtDdwZTWsZg Joint Multi-Object Detection and Tracking with Camera-LiDAR Fusion for Autonomous Driving Multi-object tracking (MOT) with camera-LiDAR fusion deman..
