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| from pydoc import describe | |
| from huggingface_hub import hf_hub_download | |
| import gradio as gr | |
| import subprocess | |
| import os | |
| import datetime | |
| from PIL import Image | |
| from remove_bg import RemoveBackground | |
| net_C = hf_hub_download("radames/PIFu-upright-standing", filename="net_C") | |
| net_G = hf_hub_download("radames/PIFu-upright-standing", filename="net_G") | |
| remove_bg = RemoveBackground() | |
| env = { | |
| **os.environ, | |
| "CHECKPOINTS_NETG_PATH": net_G, | |
| "CHECKPOINTS_NETC_PATH": net_C, | |
| "RESULTS_PATH": './results', | |
| } | |
| def process(img_path, resolution=128): | |
| base = os.path.basename(img_path) | |
| img_name = os.path.splitext(base)[0] | |
| print("image name", img_name) | |
| img = Image.open(img_path) | |
| # remove background | |
| print("remove background") | |
| foreground = Image.fromarray(remove_bg.inference(img), 'RGBA') | |
| foreground.save("./PIFu/inputs/" + img_name + ".png") | |
| print("align mask with input training image") | |
| subprocess.Popen(["python", "./apps/crop_img.py", "--input_image", | |
| f'./inputs/{img_name}.png', "--out_path", "./inputs"], cwd="PIFu").communicate() | |
| print("generate 3D model") | |
| subprocess.Popen("./scripts/test.sh", env={ | |
| **env, | |
| "INPUT_IMAGE_PATH": f'./inputs/{img_name}.png', | |
| "VOL_RES": "256"}, | |
| cwd="PIFu").communicate() | |
| print("inference") | |
| return f'./PIFu/results/spaces_demo/result_{img_name}.glb' | |
| examples = [["./examples/" + img] for img in os.listdir("./examples/")] | |
| description = ''' | |
| ### PIFu-upright-standing | |
| Credits | |
| https://stylegan-human.github.io/ | |
| https://phorhum.github.io/ | |
| https://github.com/yuliangxiu/icon | |
| https://shunsukesaito.github.io/PIFuHD/ | |
| ''' | |
| iface = gr.Interface( | |
| fn=process, | |
| description=description, | |
| inputs=gr.Image(type="filepath", label="Input"), | |
| outputs=gr.Model3D(clear_color=[0.0, 0.0, 0.0, 0.0]), | |
| examples=examples, | |
| allow_flagging="never", | |
| cache_examples=True | |
| ) | |
| if __name__ == "__main__": | |
| iface.launch(debug=True, enable_queue=False) | |