Feature pypi (#88)

* Added test pypi script
* Example doc
* Bumped version
* Removed old authors, bumped version
* Fixed logo paths in readme

.github/workflows/publish.yml

@@ -96,9 +96,35 @@ jobs:
     #needs: [build-wheels, build-wheels-aarch64, build-sdist]
     needs: [build-wheels, build-sdist]
     runs-on: ubuntu-latest
+    environment:
+      name: pypi
+      url: https://pypi.org/p/aestream
+    permissions:
+      id-token: write
 
     # alternatively, to publish when a GitHub Release is created, use the following rule:
     if: github.event_name == 'release' && github.event.action == 'published'
+    steps:
+      - uses: actions/download-artifact@v3
+        with:
+          # unpacks default artifact into dist/
+          name: artifact
+          path: dist
+
+      - uses: pypa/gh-action-pypi-publish@release/v1
+
+  publish-pypi-test:
+    #needs: [build-wheels, build-wheels-aarch64, build-sdist]
+    needs: [build-wheels, build-sdist]
+    runs-on: ubuntu-latest
+    environment:
+      name: pypi
+      url: https://pypi.org/p/aestream
+    permissions:
+      id-token: write
+
+    # alternatively, to publish when a GitHub Release is created, use the following rule:
+    if: github.event_name != 'release' && github.event.action != 'published'
     steps:
       - uses: actions/download-artifact@v3
         with:
@@ -108,6 +134,4 @@ jobs:
 
       - uses: pypa/gh-action-pypi-publish@release/v1
         with:
-          user: __token__
-          password: ${{ secrets.PYPI_TOKEN }}
-          verbose: true
+          repository-url: https://test.pypi.org/legacy/

README.md

@@ -1,5 +1,5 @@
 
-<img src="logo.png" />
+<img src="https://github.com/aestream/aestream/raw/main/logo.png" />
 
 <p align="center">
     <a href="https://github.com/aestream/aestream/actions">
@@ -21,7 +21,7 @@ AEStream effiently sends event-based data from A to B.
 AEStream can be used from the command-line, via Python, or as a C++ library.
 We support multiple inputs and outputs, providing seamless integration with files, [event cameras](https://en.wikipedia.org/wiki/Event_camera), network data, Python libraries via Numpy or PyTorch, and visualization tools.
 
-<img src="docs/aestream_flow.png" />
+<img src="https://github.com/aestream/aestream/raw/main/docs/aestream_flow.png" />
 
 Read more about the inner workings of the library in [the AEStream publication](https://jegp.github.io/aestream-paper/).
 

example/speck_video.py

@@ -8,10 +8,10 @@
 # Initialize our canvas
 window, pixels = sdl.create_sdl_surface(512, 512)
 
-# Start streaming from a DVS camera on USB 2:2
+# Start streaming from the SynSense Speck chip
 with SpeckInput() as stream:
     while True:
-        # Read a tensor (640, 480) tensor from the camera
+        # Read a tensor (128, 128) tensor from the camera
         tensor = stream.read()
 
         # Zoom to (512, 512)

flake.nix

@@ -37,7 +37,7 @@
         };
         aestream = pkgs.stdenv.mkDerivation {
           name = "aestream";
-          version = "0.5.1";
+          version = "0.6";
           src = ./.;
           nativeBuildInputs = [
             pkgs.pkg-config

setup.py

@@ -28,9 +28,9 @@
 # Setuptools entrypoint
 setup(
     name="aestream",
-    version="0.5.1",
-    author="Jens E. Pedersen, Christian Pehle",
-    author_email="jens@jepedersen.dk, christian.pehle@gmail.com",
+    version="0.6.0",
+    author="Jens E. Pedersen",
+    author_email="jens@jepedersen.dk",
     url="https://github.com/aestream/aestream",
     description="Streaming library for Address-Event Representation (AER) data",
     license="MIT",