docs: Updated documentation and jobs after release (#12)

* chore: Updated package version

* docs: Updated readme

* chore: Fixed conda upload job

.github/workflows/pkg-upload.yaml

@@ -45,6 +45,34 @@ jobs:
           twine check dist/*
           twine upload dist/*
 
+  pypi-check:
+    if: "!github.event.release.prerelease"
+    runs-on: ubuntu-latest
+    needs: pypi-publish
+    steps:
+      - uses: actions/checkout@v2
+      - name: Set up Python 3.7
+        uses: actions/setup-python@v1
+        with:
+          python-version: 3.7
+          architecture: x64
+      - name: Cache python modules
+        uses: actions/cache@v1.1.2
+        env:
+          cache-name: cache-pkg-requirements
+        with:
+          path: ~/.cache/pip
+          key: ${{ runner.os }}-install-${{ env.cache-name }}-${{ hashFiles('requirements.txt') }}
+          restore-keys: |
+            ${{ runner.os }}-install-${{ env.cache-name }}-
+            ${{ runner.os }}-install-
+            ${{ runner.os }}-
+      - name: Install package
+        run: |
+          python -m pip install --upgrade pip
+          pip install torchcam
+          python -c "import torchcam; print(torchcam.__version__)"
+
   conda-publish:
     runs-on: ubuntu-latest
     steps:
@@ -73,6 +101,22 @@ jobs:
           export BUILD_VERSION=$VERSION
           python setup.py sdist
           mkdir conda-dist
-          conda-build ./conda/ -c pytorch --output-folder conda-dist
+          conda-build .conda/ -c pytorch --output-folder conda-dist
           ls -l conda-dist/noarch/*tar.bz2
           anaconda upload conda-dist/noarch/*tar.bz2 -u frgfm
+
+  conda-check:
+    if: "!github.event.release.prerelease"
+    runs-on: ubuntu-latest
+    needs: conda-publish
+    steps:
+      - uses: actions/checkout@v2
+      - name: Miniconda setup
+        uses: goanpeca/setup-miniconda@v1
+        with:
+          auto-update-conda: true
+          python-version: 3.7
+      - name: Install package
+        run: |
+          conda install -c frgfm torchcam
+          python -c "import torchcam; print(torchcam.__version__)"

README.md

@@ -1,7 +1,7 @@
 
 # Torchcam: class activation explorer
 
-[![License](https://img.shields.io/badge/License-MIT-brightgreen.svg)](LICENSE) [![Codacy Badge](https://api.codacy.com/project/badge/Grade/5124b1dff75e4e9cbb68136516605032)](https://www.codacy.com/manual/frgfm/torch-cam?utm_source=github.com&utm_medium=referral&utm_content=frgfm/torch-cam&utm_campaign=Badge_Grade)  ![Build Status](https://github.com/frgfm/torch-cam/workflows/python-package/badge.svg) [![codecov](https://codecov.io/gh/frgfm/torch-cam/branch/master/graph/badge.svg)](https://codecov.io/gh/frgfm/torch-cam) [![Docs](https://img.shields.io/badge/docs-available-blue.svg)](https://frgfm.github.io/torch-cam)  [![Pypi](https://img.shields.io/badge/pypi-v0.1.0-blue.svg)](https://pypi.org/project/torchcam/) 
+[![License](https://img.shields.io/badge/License-MIT-brightgreen.svg)](LICENSE) [![Codacy Badge](https://api.codacy.com/project/badge/Grade/5124b1dff75e4e9cbb68136516605032)](https://www.codacy.com/manual/frgfm/torch-cam?utm_source=github.com&utm_medium=referral&utm_content=frgfm/torch-cam&utm_campaign=Badge_Grade)  ![Build Status](https://github.com/frgfm/torch-cam/workflows/python-package/badge.svg) [![codecov](https://codecov.io/gh/frgfm/torch-cam/branch/master/graph/badge.svg)](https://codecov.io/gh/frgfm/torch-cam) [![Docs](https://img.shields.io/badge/docs-available-blue.svg)](https://frgfm.github.io/torch-cam)  [![Pypi](https://img.shields.io/badge/pypi-v0.1.1-blue.svg)](https://pypi.org/project/torchcam/) 
 
 Simple way to leverage the class-specific activation of convolutional layers in PyTorch.
 

setup.py

@@ -10,7 +10,7 @@
 
 from setuptools import find_packages, setup
 
-version = '0.1.1a0'
+version = '0.1.2a0'
 sha = 'Unknown'
 package_name = 'torchcam'