Spaces:
Running
on
Zero
Running
on
Zero
Update
Browse files
app.py
CHANGED
@@ -10,9 +10,12 @@ import cv2
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import gradio as gr
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import huggingface_hub
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import numpy as np
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import torch
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from huggingface_hub import hf_hub_download
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sys.path.insert(0, "face_detection")
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sys.path.insert(0, "face_parsing")
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sys.path.insert(0, "fpage")
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@@ -55,7 +58,10 @@ for lfs_model_path in lfs_model_paths:
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device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
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detector = RetinaFacePredictor(threshold=0.8, device=
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model = AgeEstimator(
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device=device,
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ckpt=huggingface_hub.hf_hub_download("hysts/ibug", "fpage/models/fpage-resnet50-fcn-14-97.torch"),
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@@ -66,6 +72,7 @@ model = AgeEstimator(
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)
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def predict(image: np.ndarray, max_num_faces: int) -> np.ndarray:
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colormap = label_colormap(14)
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@@ -124,7 +131,6 @@ with gr.Blocks(css="style.css") as demo:
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inputs=[image, max_num_faces],
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outputs=result,
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fn=predict,
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cache_examples=os.getenv("CACHE_EXAMPLES") == "1",
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)
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run_button.click(
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fn=predict,
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import gradio as gr
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import huggingface_hub
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import numpy as np
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import spaces
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import torch
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from huggingface_hub import hf_hub_download
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torch.jit.script = lambda f: f
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sys.path.insert(0, "face_detection")
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sys.path.insert(0, "face_parsing")
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sys.path.insert(0, "fpage")
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device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
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detector = RetinaFacePredictor(threshold=0.8, device="cpu", model=RetinaFacePredictor.get_model("mobilenet0.25"))
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detector.device = device
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detector.net.to(device)
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model = AgeEstimator(
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device=device,
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ckpt=huggingface_hub.hf_hub_download("hysts/ibug", "fpage/models/fpage-resnet50-fcn-14-97.torch"),
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)
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@spaces.GPU
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def predict(image: np.ndarray, max_num_faces: int) -> np.ndarray:
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colormap = label_colormap(14)
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inputs=[image, max_num_faces],
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outputs=result,
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fn=predict,
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)
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run_button.click(
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fn=predict,
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