Test with my own dataset

[dongho-Han]

Hello!
I'm enjoying happy days with using your interesting works(STCN, XMem, DEVA, Cutie).
Also, I got much help from your previous answers. Thanks!
After all, I'm trying to run your models with my own dataset.
However, I got two stucks:
(1) I can easily make the RGB images, but not the mask. Could you share any ideas for that?

• Especially, all the models you made need first frame's mask, so making this mask is really important.
• Also, to evaluate, all the images' mask are needed.

(2)As I said, I'm trying to compare the outputs of STCN, XMem, DEVA, Cutie by running with my own dataset.
However, I think there is no framework for testing the whole models by one-line code.

• Currently, I'm working on making each docker container for model and running on.
• Hopefully, I don't have to run all the models parallel(it could be run sequentially), but run in a one environment with simple code block would be great.
  But, if you have any one-direct way to run all the models easily, I'll really happy to learn.

Thanks:)

[hkchengrex]

1. For manual annotation, you can use the interactive tool in Cutie. If you need the first-frame mask, copy it from the workspace. There are many other ways to annotate the mask depending on your application.
2. All the models support one-line command line evaluation if the dataset is set up properly. You can write a shell script to put them together.

[dongho-Han]

By using your tools, I think I can run your models with my custom dataset for only labeling first image, with the help of Cutie GUI.
Thanks!