YOLO3D-YOLOv4-PyTorchThe PyTorch Implementation based on YOLOv4 of the paper: YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud (ECCV 2018)DemoInputs: Bird-eye-view (BEV) maps that are encoded by height, intensity and density of 3D LiDAR point...
YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud (ECCV 2018) - YOLO3D-YOLOv4-PyTorch/src/test.sh at master · Matom-ai/YOLO3D-YOLOv4-PyTorch
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在x86 ,ubuntu18.04(cpu)上,使用pytorch实现的yolov4训练自己的数据集,并进行推理。 二 环境准备 该样例依赖以下环境: numpy==1.18.2 tensorboardX==2.0 scikit_image==0.16.2 matplotlib==2.2.3 tqdm==4.43.0 easydict==1.9 Pillow==7.1.2 opencv_python pycocotools pytorch==1.4(注意不要直接下) onnx o...
Complex YOLOv4 The PyTorch Implementation based on YOLOv4 of the paper:Complex-YOLO: Real-time 3D Object Detection on Point Clouds Demo Features Realtime 3D object detection based on YOLOv4 Distributed Data Parallel Training TensorboardX Mosaic augmentation for training ...
YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud (ECCV 2018) - Matom-ai/YOLO3D-YOLOv4-PyTorch
YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud (ECCV 2018) - Initial commit · Matom-ai/YOLO3D-YOLOv4-PyTorch@7a8eec0
Ultralytics/yolov3_and_v4 WongKinYiu/PyTorch_YOLOv4 VCasecnikovs/Yet-Another-YOLOv4-Pytorch 2.4. How to run 2.4.1. Visualize the dataset (both BEV images from LiDAR and camera images) cdsrc/data_process To visualize BEV maps and camera images (with 3D boxes), let's execute(theoutput-...
YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud (ECCV 2018) - YOLO3D-YOLOv4-PyTorch/src at master · Matom-ai/YOLO3D-YOLOv4-PyTorch
YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud (ECCV 2018) - maudzung/YOLO3D-YOLOv4-PyTorch