Comments (3)
Hi @PhanThanhTrung , thanks for your interest and feedback.
Sorry that this code release is still a draft version and there are many details to be fixed. I do not try the mono_det_demo.py
after adding the new model based on mmdet3d, and there can be some bugs by directly running it in the conventional way. I will fix it ASAP after I preliminarily make sure the training is relatively stable after refactoring. Please stay tuned.
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@Tai-Wang thanks for your response. I'm looking forward to you fixing it 💻💻💻💻
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Hi @PhanThanhTrung , I have fixed the monocular 3D detection demo to make it compatible with DfM. Please try it following this instruction :)
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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
- Indoor object detection on the way? 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
- install issue
- Where is mv-fcos3d++?
- Table 3.中Mono Only HOT 5
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