Comments (9)
Hello all,can you generate gt.txt from det data?
from tracking_wo_bnw.
No, both the det.txt
and gt.txt
are provided by the MOT17 dataset. The latter included the ground truth bounding boxes and tracking identities. The former includes predicted detections to allow for an evaluation in public detection setup. The det.txt
files differe for the different version of each sequence, e.g., MOT17-DPM
, MOT17-FRCNN
, MOT17-SDP
.
from tracking_wo_bnw.
Ok,thanks,please how do you generate annotations for the MOT17 dataset. Specifically,the test dataset?
from tracking_wo_bnw.
You do not generate annotations. These are provided by the dataset. However, only for the training sequences. If yoy want to evaluate test set results you need to create an account on the MOTChallenge webpage and submit predicted results to the evaluation server.
from tracking_wo_bnw.
Ok,thanks,you mean if I download the data from MOT Challenge website both the train and test data have their annotation.json file embedded in them?
from tracking_wo_bnw.
No, you will never get the test set annotations. These are not public. You need to submit your predicted tracking results and then get an email with your results from the evaluation server.
from tracking_wo_bnw.
Alright thanks
from tracking_wo_bnw.
Please can I get your email ?
from tracking_wo_bnw.
What do you mean? My email address is shown on my profile page.
from tracking_wo_bnw.
Related Issues (20)
- How do you train Tracktor itself? HOT 2
- No module named 'torchreid' HOT 6
- Should I train det and reid for tracktor? HOT 2
- can
- can't find the module named "tracktor.config" HOT 3
- Looking for more training details of given models HOT 1
- No such file or directory: ...../model_epoch_27.model' HOT 5
- Train reid and detector for custom objects /labels ( not people/cars) HOT 6
- how to reproduce the results of this repository on colab HOT 2
- Online or Offline method HOT 2
- requirments issue HOT 1
- About put the own dataset detection result to do tracker
- RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cpu and cuda:0! (when checking argument for argument tensors in method wrapper___cat) HOT 1
- How to train your own dataset? HOT 1
- Is box regression method predict_boxes applicable to tracking multiple objects, number of interested objects>2
- Issues in requirements.txt
- I cannot open the link of Train and test object detector (Faster R-CNN with FPN) on Google Colab notebook HOT 4
- ModuleNotFoundError: No module named 'mask_rcnn_tracktor' HOT 3
- TrackFormer: Multi-Object Tracking with Transformers HOT 1
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from tracking_wo_bnw.