Introducing the TorchSample package for comprehensive data transforms and sampling
Hi all, It also has great support for situations where both the input and target tensors are images (e.g. segmentation datasets). It also supports arbitrary data types. It supersedes the currently available sampling code in the main torchvision/torch codebase. It’s my hope that this will kick-start the community-driven development of the sampling code in the main torch and torchvision packages, and serve as reliable and flexible sampling code in the meantime. NOTE: This package is in no way endorsed by, affiliated with, or otherwise associated with the official Pytorch ecosystem or team.
ncullen93
smth
ncullen93
Could you please give me some details on how to install this package? I have conda installed and have created an virtualenv for it. Thanks!
Shi_Shu
Rohit_Keshari
If you are using pip, just clone, go to the directory with setup.py and run “pip install -e .” - this will read the setup and install the package (this way you can also easily uninstall it if needed)
flock