anime_pictures-webp-4Mpixel

# Anime-Pictures 4M Re-encoded Dataset

This is the re-encoded dataset of [deepghs/anime_pictures_full](https://huggingface.co/datasets/deepghs/anime_pictures_full). And all the resized images are maintained here.

There are 605865 images in total. The maximum ID of these images is 834153. Last updated at `2024-09-09 07:46:37 UTC`.

# How to Painlessly Use This

Use [cheesechaser](https://github.com/deepghs/cheesechaser) to quickly get images from this repository.

Before using this code, you have to **grant the access from this gated repository**. And then **set your personal HuggingFace token into `HF_TOKEN` environment variable** to give the code authorization for this repository.

```python
from cheesechaser.datapool import AnimePicturesWebpDataPool

pool = AnimePicturesWebpDataPool()
pool.batch_download_to_directory(
# download images #600000-600100, any ranges or id lists are okay
resource_ids=range(600000, 600100),

# save to directory /data/anime_pictures_webp
dst_dir='/data/anime_pictures_webp',
)
```

# Anime-Pictures 4M 重编码数据集

本数据集为[deepghs/anime_pictures_full](https://huggingface.co/datasets/deepghs/anime_pictures_full)的重编码版本，所有调整过尺寸的图像均存储于此。

本数据集总计包含605865张图像，图像最大ID为834153，最后更新时间为`2024-09-09 07:46:37 UTC`。

# 无痛使用指南

可通过[cheesechaser](https://github.com/deepghs/cheesechaser)快速从本仓库获取图像。

在运行该代码前，您需要**先申请本受限仓库的访问权限**，随后**将个人HuggingFace令牌（Token）配置到`HF_TOKEN`环境变量中**，以授予代码访问本仓库的权限。

python
from cheesechaser.datapool import AnimePicturesWebpDataPool

pool = AnimePicturesWebpDataPool()
pool.batch_download_to_directory(
# 下载ID范围为600000至600100的图像，支持任意范围或ID列表
resource_ids=range(600000, 600100),

# 将图像保存至目录 /data/anime_pictures_webp
dst_dir='/data/anime_pictures_webp',
)