Comments (2)
动态图用的是kitti raw sequence的数据集。
代码来说,动态图的实现用的是类似于 demo jupyter notebook 里面的推理代码。循环处理一个文件夹中的所有图像,或者一个opencv视频流中的所有图像,都是可行的。
如果需要使用ros驱动摄像头,开源的另一个repo做了单目代码的ros接口。双目的目前还没做。
from visualdet3d.
动态图用的是kitti raw sequence的数据集。
代码来说,动态图的实现用的是类似于 demo jupyter notebook 里面的推理代码。循环处理一个文件夹中的所有图像,或者一个opencv视频流中的所有图像,都是可行的。
如果需要使用ros驱动摄像头,开源的另一个repo做了单目代码的ros接口。双目的目前还没做。
谢谢作者 学习到了
from visualdet3d.
Related Issues (20)
- Pretrained weights HOT 2
- Dockerfile HOT 1
- cpu HOT 1
- Training on custom dataset with shifted camera angle HOT 1
- Template problem HOT 4
- Mismatch between 2D bbox and projected 3D bbox after affine transformation HOT 2
- Support for mono 3D random resize augmentation HOT 4
- A problem with pretrain dla model HOT 6
- Preprocessing another data HOT 7
- How to Create Custom DATA Like Kitti HOT 1
- How to build ops (deform convs and iou3d)?
- 运行./launchers/det_precompute.sh config/Stereo3D.py train时报错 HOT 5
- 请问大佬使用的双目匹配方法和stereo3d.md文件的作用 HOT 3
- About lack of dataset HOT 2
- which datasets to download?
- Inference on Nuscenes HOT 1
- The Version of pytorch /cuda HOT 1
- 自制的KITTI数据集训练闪退问题 HOT 3
- Problem with allocating memory (CUDA out of memory) HOT 2
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