VSS-CFFM
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request for cityscapes related configs and pretrain weight
Hi, Thanks for your great work firstly and could you please release configs and pretrain weights of cityscapes dataset? I have seen part of files about cityscapes, but still lack of some configs file.
Thanks for your interest. Initially, we did not release the configs and pre-trained weights for cityscapes because video data of cityscapes is extremely large (>300 GB). Nevertheless, we will release the files for cityscapes later.
Hi, I have some question about CFFM when running in cityscapes dataset.
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When I want to train CFFM in cityscapes dataset, since training CFFM in cityscapes is a semi-supervised fasion as its sparse annotations, after I change the codes about dataset and loss compute(listed bellow), is any other important code needed adjustment? loss compute: https://github.com/GuoleiSun/VSS-CFFM/blob/d93f8a05283acaa0ecff2d0aeb11548fc8a25355/mmseg/models/decode_heads/decode_head.py#L752-L760 seg label in dataset: https://github.com/GuoleiSun/VSS-CFFM/blob/d93f8a05283acaa0ecff2d0aeb11548fc8a25355/mmseg/datasets/custom.py#L1060-L1078
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If the model run in cityscapes with a size of 512x1024, the params about core module of CFFM(such as bellow codes) is the same as params in VSPW? If not, how to adjust them? for example "input_resolution"? https://github.com/GuoleiSun/VSS-CFFM/blob/d93f8a05283acaa0ecff2d0aeb11548fc8a25355/mmseg/models/decode_heads/cffm_head.py#L80-L106
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Does the current version of codes not support efficient inference on video data(reach the fps reported in paper), or I did not find the corresponding codes?
Sincerely look forward to your reply, thank you!!!
Thanks for your interest. Initially, we did not release the configs and pre-trained weights for cityscapes because video data of cityscapes is extremely large (>300 GB). Nevertheless, we will release the files for cityscapes later.
Hi, when are you going to provide the config files for cityscapes? And it is very kind to provide a brief instruction for dataset preparation. Thanks