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  1. .gitattributes +1 -0
  2. .gitignore +200 -0
  3. README.md +70 -0
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.gitattributes CHANGED
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  *.webm filter=lfs diff=lfs merge=lfs -text
 
 
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
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+ labels/ffhq_aging_labels.json filter=lfs diff=lfs merge=lfs -text
.gitignore ADDED
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+ # pyenv
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+ # For a library or package, you might want to ignore these files since the code is
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+ # Custom
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+ .DS_Store
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+ logs/
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+ images/
README.md ADDED
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+ # FFHQ-Aging Dataset
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+
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+ This dataset repository contains the FFHQ-Aging Dataset sourced from [its official repository](https://github.com/royorel/FFHQ-Aging-Dataset). However, the images provided by the authors are hosted on Google Drive, and the zip file is approximately 90GB in size, making transmission inconvenient.
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+
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+ In this repository, we have downloaded the original zip file from thr provided [Google Drive link](https://drive.google.com/file/d/1WvlAIvuochQn_L_f9p3OdFdTiSLlnnhv/view?usp=sharing), unzipped it, and zipped them into smaller chunks so that they can be transmitted easily via Huggingface.
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+
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+ <br>
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+ <br>
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+
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+ # Directory Tree
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+ We provide the zipfiles of the original `1024x1024`-sized images in [images_zip/images1024x1024](images_zip/images1024x1024). You may run other scripts in the below to unzip / resize them.
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+
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+ ```
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+ 📦 ffhq_aging_dataset/
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+ ├── 📁 images/
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+ │ ├── 📁 images512x512/
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+ │ └── 📁 images1024x1024/
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+ ├── 📁 images_zip/
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+ │ └── 📁 images1024x1024/
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+ ├── 📁 labels/
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+ │ ├── 📄 ffhq_aging_labels.csv
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+ │ └── 📄 ffhq_aging_labels.json
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+ ├── 📁 logs/
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+ ├── 📁 scripts/
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+ │ ├── 💻 01_zip_images.sh
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+ │ ├── 💻 02_unzip_images.sh
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+ │ ├── 💻 03_batch_image_resize.sh
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+ │ └── 💻 04_process_labels.sh
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+ ├── 📁 src/
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+ │ ├── 🐍 batch_image_resize.py
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+ │ ├── 🐍 process_labels.py
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+ │ ├── 🐍 unzip_images.py
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+ │ └── 🐍 zip_images.py
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+ ├── 📄 .gitignore
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+ └── 📄 README.md
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+ ```
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+
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+ <br>
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+ <br>
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+
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+ # Scripts
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+ ## Zipping the Images
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+ We have zippped the images into chunks of 1000 images each, and provide them in [images_zip/images1024x1024](images_zip/images1024x1024). However, if you need to modify the images and transfer them somewhere, feel free to re-zip them again via the script below:
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+ ```bash
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+ ./scripts/01_zip_images.sh
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+ ```
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+
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+ <br>
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+
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+ ## Unzipping the Images
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+ Unzipping the zipped chunks is as easy as running the below:
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+ ```bash
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+ ./scripts/02_unzip_images.sh
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+ ```
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+
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+ <br>
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+
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+ ## Resizing the Images
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+ If you need to resize the images for some other usage, configure the image sizes and output dir in [scripts/03_batch_image_resize.sh](scripts/03_batch_image_resize.sh), and run the below:
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+ ```bash
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+ ./scripts/03_batch_image_resize.sh
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+ ```
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+
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+ <br>
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+
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+ ## Convertting the original CSV label file into JSON
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+ We have also convertted the original label file from `CSV` to `JSON` for convenience, and procide it in [labels/ffhq_aging_labels.json](labels/ffhq_aging_labels.json). Similarly, if you need to re-compile the `JSON` label file, configure the parameters in [src/process_labels.py](src/process_labels.py), and run the below:
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+ ```bash
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+ ./scripts/04_process_labels.sh
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+ ```
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