app.py

import gradio
import os
from tops.config import instantiate
import gradio.inputs
os.system("pip install --upgrade pip")
os.system("pip install ftfy regex tqdm")
os.system("pip install --no-deps git+https://github.com/openai/CLIP.git")
os.system("pip install git+https://github.com/facebookresearch/detectron2@96c752ce821a3340e27edd51c28a00665dd32a30#subdirectory=projects/DensePose")
os.system("pip install --no-deps git+https://github.com/hukkelas/DSFD-Pytorch-Inference")
os.environ["TORCH_HOME"] = "torch_home"
from dp2 import utils
from gradio_demos.modules import ExampleDemo, WebcamDemo

cfg_face = utils.load_config("configs/anonymizers/face.py")

anonymizer_face = instantiate(cfg_face.anonymizer, load_cache=False)

anonymizer_face.initialize_tracker(fps=1)


with gradio.Blocks() as demo:
    gradio.Markdown("# <center> DeepPrivacy2 - Realistic Image Anonymization </center>")
    gradio.Markdown("### <center> Håkon Hukkelås, Rudolf Mester, Frank Lindseth </center>")
    gradio.Markdown("<center> See more information at: <a href='https://github.com/hukkelas/deep_privacy2'> https://github.com/hukkelas/deep_privacy2 </a> </center>")
    gradio.Markdown("<center> For a demo of full-body anonymization, see: <a href='https://huggingface.co/spaces/haakohu/deep_privacy2'> https://huggingface.co/spaces/haakohu/deep_privacy2</a> </center>")
    with gradio.Tab("Webcam"):
        ExampleDemo(anonymizer_face)
    with gradio.Tab("File Upload"):
        ExampleDemo(anonymizer_face, source=None)


demo.launch()