Add Seam Carving transform for images, masks, bounding boxes, landmarks:

https://www.pyimagesearch.com/2017/01/23/seam-carving-with-opencv-python-and-scikit-image/

https://github.com/andrewdcampbell/seam-carving

Hi, thanks for the great code!

I wonder do you have plans to support resuming from checkpoints for classification? As we all know, in terms of training ImageNet, the training process is really long and it can be interrupted somehow, but I haven't notice any code related to "resume" in scripts/classification/train_imagenet.py.

Maybe @hetong007 ? Thanks in advance.

I wanted to know if there is any support in the tool where the user can select multiple unique labels and rename it as one label?

What I want is very similar to grouping thing which is available in the tool. But instead of selecting "n" number of labels and grouping them, I wanted to give those "n" number of selected labels a different label name.

Thanks in advance!! Please let me know if th

How do i resume training for text classification?

🐛 Bug Report

If you try to run experiment in system/docker container where missing git (in system) your code will crush at this line:

https://github.com/catalyst-team/catalyst/blob/master/catalyst/utils/pipelines.py#L4

with message like this:

Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/git/__init__.py", line 83, in <module>
    refresh()

with video_demo.py about 20% speed compared to your 1.0 repo. but thanks much for sharing!