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[ICCV 2023] StreamPETR: Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection

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Hello, I would like to seek your guidance on whether StreamPETR can also incorporate future data into training, similar to Sparse4D-v3-offline. If possible, could you kindly advise how I should...

我尝试去理解目标框的ground truth,于是把data loader加载的一个sample的gt_bboxes_3d保存了下来,然后画到相应的相机图片上。 保存gt_bboxes_3d的位置: [petr3d.py#L223](https://github.com/exiawsh/StreamPETR/blob/main/projects/mmdet3d_plugin/models/detectors/petr3d.py#L223) 画图的方法 (我理解gt_bboxes_3d是lidar boxes 3d,是在sensor坐标系的,所以画到相机视角是要校准): ``` box_list = [] for box in boxes_mine: # Move from censor coordinate to world coordinate box.rotate(Quaternion(lidar_rotation)) box.translate(np.array(lidar_translation)) box.rotate(Quaternion(pose_record['rotation'])) box.translate(np.array(pose_record['translation'])) if...

When i try to add the segmentation task from PETRv2 to StreamPETR, i put【petrv2_ BEVseg.py, petr3d_Seg. py, petr_head_seg.py】 in the corresponding location under the StreamPETR project, i also add 【from...

hello, i want to use my dataset to train the streampetr. what do u think about that, 500 frames is enough to let the transformer convergent or not. the performance...

Thanks for the grate work. i have aquestion regarding the used data: in the nuscenes2d_temporal_infos_train.pkl file there are many keys ['lidar_path', 'token', 'prev', 'next', 'sweeps', 'frame_idx', 'cams', 'scene_token', 'lidar2ego_translation', 'lidar2ego_rotation',...

想请问一下,当flash attention版本从 0.2 切换到 2.0, stream_petr_vov_flash_800_bs2_seq_24e (Vovnet为backbone) 收敛会有问题,loss和grad norm会出现 NAN的情况,导致这个的原因是什么呢,谢谢。

I want to run tracking evaluation using `nusc_tracking/pub_test`. However, I'm not sure what is the path I should provide to `--checkpoint`. Can you point me to the correct setup?

We want to use gray scale images to do inflection. Is this valid? Tell me what you think! Thank you!! @exiawsh