PyPI release

README.md

@@ -1,5 +1,5 @@
 <p align="center">
-  <img src="docs/_static/logo-01.png" width="100%">
+  <img src="https://github.com/balintio/noisebase/raw/main/docs/_static/logo-01.png" width="100%">
 </p>
 
 <div align="center">
@@ -17,15 +17,16 @@
 **Datasets and benchmarks for neural Monte Carlo denoising.**
 
 <p align="center">
-  <img src="docs/_static/teaser.png" width="70%">
+  <img src="https://github.com/balintio/noisebase/raw/main/docs/_static/teaser.png" width="70%">
 </p>
 
-
+What is Monte Carlo denoising?
+------------------------------
 <details>
-<summary><h2>What is Monte Carlo denoising?</h2></summary>
+<summary>Read More</summary>
 
 <div align="center">
-  <img src="docs/_static/Pi_monte_carlo_all.gif" width="30%"> <br>
+  <img src="https://github.com/balintio/noisebase/raw/main/docs/_static/Pi_monte_carlo_all.gif" width="30%"> <br>
   <p>Monte Carlo integration <a href="https://commons.wikimedia.org/w/index.php?curid=140013480"><b>Kmhkmh</b></a></p>
 </div>
 

noisebase/__init__.py

@@ -9,7 +9,7 @@
 `Noisebase` function should you wish to keep your use of Hydra to a minimum.
 """
 
-__version__ = '0.1'
+__version__ = '1.1'
 
 import os
 

pyproject.toml

@@ -12,13 +12,14 @@ dependencies = [
   "zarr>=2",
   "pytorch-msssim",
   "hydra-core",
+  "requests",
   "tqdm"
 ]
 authors = [{name = "Martin Bálint", email = "[email protected]"}]
 readme = "README.md"
 keywords = ["denoising", "Monte Carlo", "MC", "neural"]
 classifiers = [
-    "Development Status :: 1 - Planning",
+    "Development Status :: 4 - Beta",
     "License :: OSI Approved :: Apache Software License",
 
     "Environment :: GPU",