semvec/pypi-packages huggingface dataset:
asmr18 0.1.5
Downloader for ASMR18.fans
Requires Python: >=3.8

# ASMR18 Downloader

Command-line tool for downloading audio content from ASMR18.fans with metadata extraction and chapter support.

## Installation

### Quick Install (Linux/macOS)
```bash
curl -sSL https://raw.githubusercontent.com/yosefario-dev/asmr18/main/install.sh | sh
```

### Manual Install
```bash
pip install asmr18
```

## Usage

```bash
asmr18 "https://asmr18.fans/boys/rj01439456/"
```

### Options
```bash
asmr18 URL                           # Download single work
asmr18 URL -o /path/to/output        # Custom output directory
asmr18 --batch urls.txt              # Batch download from file
asmr18 URL --template "{id} {title}" # Custom filename
asmr18 --help                        # Show all options
```

## Features

* Metadata extraction (title, voice actors, circle, scenario, illustrator, genres)
* Chapter extraction and embedding
* Filename filesystem safety
* Multiple download methods (ffmpeg or manual segments)
* Batch download support
* Resume capability for interrupted downloads
* Configuration file support (~/.asmr18/config.yaml)
* Progress tracking with ETA

## Requirements

* Python 3.8+
* ffmpeg (recommended for faster downloads)

## Configuration

Create `~/.asmr18/config.yaml`:
```yaml
output_dir: ~/Downloads/ASMR
template: "[{id}] {title}"
use_ffmpeg: true
skip_existing: true
```

## Output

Downloaded files include:
* Video file with embedded chapters
* Metadata JSON file with complete work information

## Legal

This tool is for personal use only. Users must comply with:
* ASMR18.fans terms of service
* Applicable copyright laws
* Content licensing restrictions

## License

GPL-3.0 License - See LICENSE file

## Support

For issues or questions: https://github.com/yosefario-dev/asmr18/issues
seu-3d 1.1.16
3d spatial visualization napari plugin
Requires Python: >=3.10

# SEU-3D

## description

3d visualization and analysis plugin for spatial transcription embryo base on napari

## updata log

[1.1.16] fix bug

[1.1.15] fix bug

[1.1.14] fix bug

[1.1.13] add button to read colormap json file

[1.1.12]

[1.1.11] fix buges

[1.1.10] Fix buges and optimize SelectXYZ

[1.1.9] Multi-gene analysis adjusts image contrast by channel

[1.1.8] 1.A Z-axis control slider has been added
        2.A color bar was added to a single gene analysis
        3.Contrast adjustment has been added in moran's I
        4.Convert all contrast adjustment logic to quantiles
        5.Select tissue by legend tab available

[1.1.7] fix bug of one gene adjust contrast darker,expand adjust contrast function to 1/2/3gene analyse

[1.1.6] Expand select XY to select XYZ

[1.1.5] 1.Fixed the bug where visible cells decreased with the number of operations
        2.When creating a flatten layer, the visibility inherits from the original visibility
        3.Unify the length of the mask variable when calculating and plotting
        4.The original situation where the threshold constraints of each gene were mutually inherited has been changed. Now, they are all inherited from tissue_filter

[1.1.4] 1.Fixed the bug related to multi-gene screening 
        2.The calculation and plotting of moran's I have been optimized

[1.1.3] fix buges

[1.1.2] enrich function

[1.1.1] change color_map

[1.1.0] rebuild whole package

## acknowledge

https://github.com/GuignardLab/sc3D
https://github.com/GuignardLab/napari-sc3D-viewer

## environment
visaionlvis-118-202511031415 0.5.3
Python API for LVIS dataset.

LVIS (pronounced ‘el-vis’): is a new dataset for Large Vocabulary Instance Segmentation.
We collect over 2 million high-quality instance segmentation masks for over 1200 entry-level object categories in 164k images. LVIS API enables reading and interacting with annotation files,
visualizing annotations, and evaluating results.