From f4715d168aab1a500146e04243a02d68991cec53 Mon Sep 17 00:00:00 2001
From: Felipe <fima@dtu.dk>
Date: Thu, 11 Apr 2024 15:34:10 +0200
Subject: [PATCH] releasing v0.3.3

---
 README.md        | 69 +++---------------------------------------------
 docs/releases.md |  2 +-
 2 files changed, 5 insertions(+), 66 deletions(-)

diff --git a/README.md b/README.md
index 899596a1..dcda6af6 100644
--- a/README.md
+++ b/README.md
@@ -1,74 +1,13 @@
 # QIM3D (Quantitative Imaging in 3D)
 
-`qim3D` is a Python library for quantitative imaging analysis in 3D. It provides functionality for handling data, as well as tools for visualization and analysis.
+The `qim3d` library is designed to make it easier to work with 3D imaging data in Python. It offers a range of features, including data loading and manipulation, image processing and filtering, visualization of 3D data, and analysis of imaging results.
 
-This library contains the tools and functionalities of the QIM platform, accessible at https://qim.dk/platform
+You can easily load and process 3D image data from various file formats, apply filters and transformations to the data, visualize the results using interactive plots and 3D rendering, and perform quantitative analysis on the images.
 
-## Installation
+Whether you are working with medical imaging data, materials science data, or any other type of 3D imaging data, `qim3d` provides a convenient and powerful set of tools to help you analyze and understand your data.
 
-Install the latest stable version by using pip:
+Documentation available at https://platform.qim.dk/qim3d/
 
-```bash
-pip install qim3d
-```
-
-Or clone this repository for the most recent version.
-
-
-# Usage
-Some basic funtionalites are descibred here. The full documentation is still under development.
-
-## Loading Data
-To load image data from a file, use `qim.io.load()`
-
-```python
-import qim3d
-
-# Load a file
-vol = qim3d.io.load("path/to/file.tif")
-
-# Load a file as a virtual stack
-vol = qim3d.io.load("path/to/file.tif", virtual_stack=True)
-```
-
-## Visualize data
-You can easily check slices from your volume using `slices`
-
-```python
-import qim3d
-
-img = qim3d.examples.fly_150x256x256
-
-# By default shows the middle slice
-qim3d.viz.slices(img)
-
-# Or we can specifly positions
-qim3d.viz.slices(img, position=[0,32,128])
-
-# Parameters for size and colormap are also possible
-qim3d.viz.slices(img, img_width=6, img_height=6, cmap="inferno")
-
-```
-
-
-## GUI Components
-The library also provides GUI components for interactive data analysis and exploration. 
-The `qim3d.gui` module contains various classes for visualization and analysis:
-
-```python
-import qim3d
-
-app = qim3d.gui.iso3d.Interface()
-app.launch()
-```
-
-GUIs can also be launched using the Qim3D CLI:
-```
-$ qim3d gui --data-explorer
-```
-
-# Contributing
-Contributions to `qim3d` are welcome! If you find a bug, have a feature request, or would like to contribute code, please open an issue or submit a pull request.
 
 # License
 This project is licensed under the MIT License.
\ No newline at end of file
diff --git a/docs/releases.md b/docs/releases.md
index 64a04fd7..3265d5d2 100644
--- a/docs/releases.md
+++ b/docs/releases.md
@@ -9,7 +9,7 @@ As the library is still in its early development stages, **there may be breaking
 
 And remember to keep your pip installation [up to date](/qim3d/#upgrade) so that you have the latest features!
 
-### v0.3.3 (coming soon!)
+### v0.3.3 (11/04/2024)
 - Introduction of `qim3d.viz.slicer` (and also `qim3d.viz.orthogonal` ) 🎉
 - Introduction of `qim3d.gui.annotation_tool` 🎉
 - Introduction of `qim3d.processing.Blob` for blob detection 🎉
-- 
GitLab