bump version

darwin/cli.py

@@ -43,7 +43,7 @@ def run(args, parser):
             f.list_teams()
     # Version
     elif args.command == "version":
-        print("0.5.4")
+        print("0.5.5")
 
     elif args.command == "convert":
         f.convert(args.format, args.files, args.output_dir)

docs/index.md

@@ -7,7 +7,7 @@ Typical use cases for Darwin include:
 - Create/remove/list datasets
 - Upload/download data to/from remote datasets
 - Convert between annotations formats
-- Direct integration with PyTorch DataLoaders (See [torch/README.md](darwin/torch/README.md))
+- Direct integration with PyTorch DataLoaders (See [torch](torch.md))
 
 Darwin-py can both be used from the [command line](commandline.md) and as a [python library](library.md).
 

docs/torch.md

@@ -63,7 +63,7 @@ print(db_train)
 ```
 
 
-## Darwin છ Torchvision
+## Darwin ✕ Torchvision
 
 This tutorial shows how to train an instance segmentaion model on a Darwin dataset using Pytorch's [Torchvsion](https://github.com/pytorch/vision) and `darwin-py`. If you do not have Pytorch and Torchvision installed yet, you can follow these [installation instructions](https://pytorch.org/get-started/locally/).
 

setup.py

@@ -5,7 +5,7 @@
 
 setuptools.setup(
     name="darwin-py",
-    version="0.5.4",
+    version="0.5.5",
     author="V7",
     author_email="[email protected]",
     description="Library and command line interface for darwin.v7labs.com",