TrackR-CNN
TrackR-CNN copied to clipboard
TrackR-CNN baseline method for Multi-Object Tracking and Segmentation (MOTS)
hi i want to build a pytorch version base on a pytorch version mask-rcnn like this https://github.com/facebookresearch/maskrcnn-benchmark/tree/main/maskrcnn_benchmark could you give me some advice ,i will be very grateful
Do you have tensorflow 2 version of the code?
Hello @pvoigtlaender @ahnonay , Would you please advice how to train TrackR-CNN without mask head on KITTI tracking and later generate masks? In particular I would like to know about...
for eval
very hopeful for your help: i use your fastercnn.py as a moudle in my model , when train it is very good the result is good too but when eval...
Hi, I am trying to achieve the same results as your document ( sMOTSA_car 76.2, sMOTSA_ped 46.8, MOTSA_car 87.8, MOTSA_ped 65.1, MOTSP_car 87.2 and MOTSP_ped 75.7 ) I ran the...
I am training the model on custom dataset with 7 labels. I have done the changes required for custom dataset as mentioned in the previous issues. But when I change...
I am training the model on a custom dataset with 7 labels using the 3dconv8_24 file. I have changed the directory in KITTI_segtrack.py and directory in config file as mentioned...
I'm running the code on google colab 1) Run python main.py configs/conv3d_sep2 "{\"task\":\"forward_tracking\",\"dataset\":\"KITTI_segtrack_feed\",\"load_epoch_no\":5,\"batch_size\":5,\"export_detections\":true,\"do_tracking\":false,\"video_tags_to_load\":[\"0002\",\"0006\",\"0007\",\"0008\",\"0010\",\"0013\",\"0014\",\"0016\",\"0018\",\"0000\",\"0001\",\"0003\",\"0004\",\"0005\",\"0009\",\"0011\",\"0012\",\"0015\",\"0017\",\"0019\",\"0020\"]}" This command gives empty detections in the forwarding directory that is the generated detection text files in...