Comments (2)
Hi!
- The
SPLIT
variable refers to training/testing data splits for KITTI and train/val/test/... for NuScenes. So, you probably would want to havetraining
in that variable to try to run the code in your environment and compare results. - To use specific detections, please download them from the links provided in the README. PointGNN and TrackRCNN need to be downloaded from their respective project pages. After downloading, simply put that data in some directory as described in the README and supply the path in
inputs/utils.py
. For PointGNN, you would change thePOINTGNN_DETS_DIR
variable andSEGMENTATIONS_TRACKRCNN_DIR
for TrackRCNN.
Please carefully follow the instructions in the README section, which answers both of these questions and has some further notes on how to run the code.
Feel free to open another issue if you have trouble with anything else!
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Added a clarifying sentence to the README about the SPLIT
variable. Perhaps the original instruction is unclear if you are not used to how KITTI and NuScenes data is organized.
from eagermot.
Related Issues (20)
- KITTI MOTS dataset HOT 1
- Question about the result HOT 5
- Query on result for nuscenes data with centerpoint and mmdetection_cascade_x101 detections HOT 3
- Tracking on nuscenes data with centerpoint 3d detections on nuscenes and mmdetection cascade on nuimages HOT 2
- How to reproduce ego-motion files for KITTI? HOT 2
- Can you provide 2D TrackR-CNN detections (for testing) of KITTI MOT?There are no these datas on their Home linked pages. HOT 1
- Results in a video format HOT 1
- Question about the Track creation and confirmation HOT 2
- how to test the AMOTA MOTA
- About running the testing split HOT 1
- Question about AMOTP in ablation HOT 1
- about using AB3DMOT HOT 1
- some clarifications regarding kitti dataset HOT 3
- EagerMot result format HOT 1
- Visualization of the results HOT 3
- no detections for HOT 1
- 'MOTFrameNuScenes' object has no attribute 'bbox_3d_from_nu' HOT 1
- visualize code - utils_viz issue&render_option.json HOT 1
- a problem about visualize.py
- Which file to download and Format of Trackrcnn result
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