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mcahny
Official pytorch implementation for "Video Panoptic Segmentation" (CVPR 2020 Oral)
Hi, Really thanks for your great work! I am very interest in the topic of VPS and your work have inspired me a lot. I came across a problem when...
Hi, @mcahny, @joonyoung-cv and @joe-siyuan-qiao . Thanks for your work on the Cityscapes VPS dataset. Howerver, the old website of CodaLab (https://competitions.codalab.org/competitions/26183) is now unavailable to submit results for evaluation,...
hi I tried to prepare data descriped in dataset.md. After running the bash command for fetching I am getting this error: my command: python prepare_data/fetch_city_images.py --src_dir /home/nazib/Data/leftImg8bit/val/ --dst_dir /home/nazib/Data/cityscapes_vps/ --mode...
Hi! Thanks for opensourcing your code. However, I can not reproduce your FuseTrack results on cityscapes validation set. I strat from this ckpt. "./work_dirs/cityscapes/fuse_vpct/cityscapes_fuse_latest.pth". I only obtain vpq-final with 55.6.
Thank you for the nice work! I tried to download the cityscape-vps dataset and VIPE dataset but the download link on the website does not include VIPE dataset. Do you...
Hi ! It is amazing work! Could you share the training scripts on baseline image model(UPSnet) on cityscapes ?
Does anyone have this issue? File "/home/user/4TB/tmp/vps/mmdet/ops/nms/nms_wrapper.py", line 4, in from . import nms_cpu, nms_cuda ImportError: libtorch_cpu.so: cannot open shared object file: No such file or directory Thanks,
Thank you for sharing your great project. I hope I can use the project to train and test on my own single image dataset for Panoptic Segmentation. Could you please...
In eval_vpq.py, at step 2, gt/pred_segms initial assignments should be done using deep copy, isn't it? Which means, ''' #### Step 2. Concatenate the collected items -> tube-level. vid_pan_gt =...
I wanted to run this against this video https://archive.org/details/0002201705192 and share results on my YT channel. After 1h of fighting with code I know that I will not be able...
