Comments (1)
Please refer to ImVoxelNet and mmdet3d for some basic indoor methods. Further exploration in this direction is ongoing and please stay tuned.
from depth-from-motion.
Related Issues (20)
- How to prepare the raw data of KITTI? HOT 3
- some error when running mono_det_demo.py HOT 4
- dfm training error: ValueError: need at least one array to stack HOT 3
- Training error using "./tools/dist_train.sh" HOT 3
- 关于RandomCrop3D实现的问题 HOT 1
- The question about data augmentation HOT 5
- compute_detection_let_metrics_main细节 HOT 1
- cuda execution failed with error 2 HOT 2
- where to get waymo/kitti_format/ImageSets/test_cam_only.txt? HOT 1
- About the checkpoint of FCOS++ HOT 4
- Waymo license about pre-trained model HOT 1
- the use of aggregated volume HOT 4
- Welcome update to OpenMMLab 2.0
- PGD training Waymo Dataset, why set loss_bbox2d weight = 0?
- 关于深度离散化方式
- question about pose-free version
- 请问with_lidar_model在训练中的作用是什么?对应paper中的哪部分呢 HOT 1
- nuScenes support HOT 2
- Table 3.中Mono Only HOT 5
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from depth-from-motion.