MeViS
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[ICCV 2023] MeViS: A Large-scale Benchmark for Video Segmentation with Motion Expressions
During the training, in the part of backbone, I got this error: File "/root/MeViS/mask2former/modeling/backbone/swin.py", line 694, in forward value = value.reshape(B, self.num_heads, self.value_channels//self.num_heads, n_l) RuntimeError: shape '[24, 1, 96, 40]'...
setuptools is a python base package and is therefore not required to be mentioned in `requirements.txt`. einops and transformers are dependencies which are required but not mentioned in requirements.
I'm using Python 3.8 with PyTorch 1.9 and Cuda 11.1. I have already set cuda_home as such: export CUDA_HOME=/mnt/slurm_home/remelias/anaconda3/envs/vita30/ cd /mnt/slurm_home/remelias/MeViS-main/mask2former/modeling/pixel_decoder/ops/ sh make.sh I'm still getting MSDA import error. Traceback...
instance segmentation model?
Thanks for the excellent work. In table 5 in the paper, the ReferFormer reaches 31.0 J&F on your dataset and how are the results obtained? Is it directly evaluated on...
what you are talking about, the meta_expressions.json, is rename from meta_valid.json? i rename meta_valid.json to meta_expressions.json, however, the code throw this exception: File "/ai/home/project/MeViS-main/lmpm/data/datasets/mevis.py", line 66, in load_mevis_json for exp_id,...
Please kindly follow the [submission guidelines](https://github.com/henghuiding/MeViS#codalab-evaluation-submission-guideline). If you need any help or encounter any issues, do not hesitate to raise here.
I have installed detectron2 and all other libraries in a python virtualenv and am facing `AssertionError: Config file '' does not exist!` when running `train_net_lmpm.py`. I've attached the error below....