feat: integrate age classification project using torch, numpy, pandas…

[jbardowski]

…, requests, opencv-python, sqlalchemy, seaborn, and onnxruntime, with models: cledoux42/Age_Classify_v001 and dima806/fairface_age_image_detection models

[prasannals]

Thanks for the PR. Can you please let me know the license for the cledoux42/Age_Classify_v001 and dima806/fairface_age_image_detection models?

[nb950]

refer https://github.com/UMass-Rescue/RescueBox/pull/28/files,
by overriding the Input types , validation can be added to get a better user experience
comments ?

[prasannals]

I recommend this too. Just fixing the link to !28. #28

PR 28 is now merged and the code example can be found at src/audio-transcription/audio_transcription/main.py

Basically, you'd have to do something like

IMAGE_EXTENSIONS = {".png", ".jpg", ".jpeg", ...}  # mention all allowed extensions here


class ImageDirectory(FileFilterDirectory):
    path: DirectoryPath
    file_extensions: List[str] = IMAGE_EXTENSIONS
    
class Inputs(TypedDict):
    """Specify the input and output types for the task"""

    input_dataset: ImageDirectory  # using ImageDirectory instead of DirectoryInput. This ensures that the directory contains at least one file with at least one of the above listed extensions

[nb950]

merged to https://github.com/UMass-Rescue/RescueBox/tree/plugins_from_spring_2025