Merge branch 'develop'

.github/workflows/publish.yaml

@@ -0,0 +1,27 @@
+# This workflow builds the Python package, and uploads to PyPI using Twine
+
+name: Build & upload to PyPI
+
+on:
+  release:
+    types: [created]
+  workflow_dispatch:
+
+jobs:
+  deploy:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v2
+      - uses: actions/setup-python@v2
+        with:
+          python-version: "3.x"
+      - run: |
+          python -m pip install --upgrade pip
+          pip install --upgrade build setuptools wheel twine
+      - env:
+          TWINE_USERNAME: __token__
+          TWINE_PASSWORD: ${{ secrets.PYPI_TOKEN }}
+        run: |
+          python -m build
+          ls ./dist/
+          python -m twine upload ./dist/*

LICENSE.txt

@@ -0,0 +1,28 @@
+Copyright (c) 2020, Queensland University of Technology
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without modification,
+are permitted provided that the following conditions are met:
+
+1.  Redistributions of source code must retain the above copyright notice,
+    this list of conditions and the following disclaimer.
+
+2.  Redistributions in binary form must reproduce the above copyright notice,
+    this list of conditions and the following disclaimer in the documentation
+    and/or other materials provided with the distribution.
+
+3.  Neither the name of the copyright holder nor the names of its contributors
+    may be used to endorse or promote products derived from this software
+    without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
+IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT,
+INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
+BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
+DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR
+OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
+THE POSSIBILITY OF SUCH DAMAGE.
+

README.md

@@ -2,6 +2,8 @@
 
 # ACRV Datasets: dataset integration for Best of ACRV projects
 
+[![Best of ACRV Repository](https://github.com/best-of-acrv/best-of-acrv-website/raw/master/misc/badge.svg)](https://roboticvision.org/best-of-acrv)
+
 _Note: support will be added soon for datasets that require end-users accept of licensing agreements_
 
 The ACRV Datasets package is a light wrapper for generically managing datasets. The package supports any dataset, as long as it has a public URL. We emphasise that we do not own the datasets accessed through this package, we simply provide easy access and integration for projects like the [Best of ACRV codebases](https://roboticvision.org/best-of-acrv).

setup.py

@@ -4,7 +4,7 @@
     long_description = fh.read()
 
 setup(name='acrv_datasets',
-      version='0.9.0',
+      version='0.9.1',
       author='Ben Talbot',
       author_email='[email protected]',
       description='Datasets manager for the Best of ACRV',