Comments (1)
Hi, they are not the same.
For TransFusion Lidar branch, we use the fade strategy (stop object sample after 15 epochs) following the original paper. transfusion_train/lidar_tf.pth
is the 20th epoch.
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Related Issues (20)
- only camera test mAP==0? HOT 3
- Can not to reproduce BEVFusion (CenterPoint+VoxelNet+Dual-Swin-T,mAP:64.2,NDS:68.0)
- Memory consumption and inference time
- Question about nuscenes camera2lidar extrinsic
- please install mmdet in mmdetection-2.11.0 HOT 2
- ball_query_ext.so undefined symbol
- Nuscenes detection errors on validation set
- Excuse me.There is a problem with the preprocessing mini's nuscence dataset, how should I solve it? HOT 2
- Camera stream augmentations
- se_block在你们的模块中真的work了吗
- 找不到'work_dirs/mask_rcnn_dbswin-t_fpn_3x_nuim_cocopre/epoch_36.pth' HOT 4
- 能否添加一个可视化的命令
- Can anyone share me with the model in camera stream, which name is 'models/cam_tf_e20.pth'?
- AssertionError: top_pool_forward miss in module _ext while executingpython demo/pcd_demo.py ${PCD_FILE} ${CONFIG_FILE} ${CHECKPOINT_FILE} [--device ${GPU_ID}] [--score-thr ${SCORE_THR}] [--out-dir ${OUT_DIR}]
- Installation problem: mmcv package configuration HOT 4
- DockerFile有问题 HOT 2
- Code does not match the paper
- There's no pretrained model for DAL-tiny HOT 1
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