Cryosieve

1. Add two new programs: cryosieve-csrefine and cryosieve-csrhbfactor.
2. Introduce a simplified command for preparing the Conda environment.
3. Add support for CUDA >=11.8.

1. Fix the bug occurring with starfile >=0.5. CryoSieve now requires starfile >=0.4, <0.5.
2. Support gloo backend for multi-GPU version of cryosieve-core.
3. Fix the bug of SequentialSampler occurring with pytorch >=2.

We are excited to announce the release of our latest resource to help you get the most out of CryoSieve. A comprehensive video tutorial is now available, designed to guide both new and existing users through the features and functionalities of our software.

Who is it For?

- **New Users**: If you're new to CryoSieve, this tutorial will provide you with a solid foundation to start on.
- **Seasoned Users**: Even if you've been with us for a while, you'll find advanced insights that could transform the way you use our product.

Accessing the Tutorial

You can access the video tutorial directly within the repository or by clicking the link below:

[Download Video Tutorial](cryosieve_video_tutorial.mp4)

*(Please note that you may need a compatible media player to view the video tutorial.)*

Feedback

We’re committed to improving your experience with CryoSieve and your input is invaluable. After you've watched the tutorial, please take a moment to share your feedback or suggestions with us. You can reach out through our [support page](https://github.com/mxhulab/cryosieve) or directly within the software via the feedback tool.

We hope this video tutorial empowers you to take full advantage of everything CryoSieve has to offer.

**Highlights:**

- **Fixed Bug with Multiple Optic Groups:** In previous versions, users experienced an issue when there were multiple optic groups present in a star file. This has now been addressed and fixed in v1.2.1.

**Details:**

- Users reported an unexpected behavior when having multiple optic groups in their star files. The issue often led to incorrect readings or crashes. Our team has investigated this and applied the necessary fixes.

**Upgrading:**

If you're upgrading from a previous version, please make sure to backup your data and follow the installation instructions provided in the README.

**Feedback:**

Your feedback is essential in improving `cryosieve`. If you come across any issues or have suggestions, please raise them in the issues section of our Github repository.

Thank you for supporting `cryosieve`!

🎉 We're thrilled to announce the release of CryoSieve v1.2, marking a significant milestone for our project. This is our first version that we consider stable, and we've made sure to synchronize it across both our GitHub repository and PyPI.

**Highlights of this release:**

1. **Stability**: Over the past months, we've been diligently ironing out bugs, refining our algorithms, and improving overall performance. This release is a culmination of that hard work, and we're proud to present CryoSieve v1.2 as our first stable release.

2. **PyPI Synchronization**: Recognizing the importance of consistency across platforms, we've synchronized our GitHub repository with the Python Package Index (PyPI). Whether you're cloning our repo or pulling CryoSieve via pip, you're guaranteed to get this stable version.

3. **Improved Documentation**: We've revamped our documentation to ensure developers and users alike can get started more easily, understand CryoSieve's functionalities in-depth, and make the most out of its features.

4. **Community Contributions**: This version has seen a substantial amount of input from the community. We'd like to extend our heartfelt thanks to all contributors for their patches, feature requests, and bug reports.

**Getting Started:**

- To install CryoSieve via pip, simply run:

pip install cryoSieve==1.2


- For those who prefer to clone the GitHub repository, head over to our [GitHub page](<[Your GitHub Repo Link](https://github.com/mxhulab/cryosieve)>).

**Feedback and Contributions:**

Your feedback is invaluable to us. If you encounter any issues or have suggestions, please [open an issue](<[Your GitHub Repo Issue Link](https://github.com/mxhulab/cryosieve/issues)>). We also welcome contributions, so feel free to fork the repo and submit a pull request.

---

Thank you for being part of the CryoSieve journey. We're excited to see where this project goes with the support of our amazing community.

---