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Runtime error
Update app.py
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app.py
CHANGED
@@ -1,11 +1,12 @@
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import gradio as gr
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import torch
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from torchvision.transforms import Compose
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import tempfile
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from PIL import Image
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import numpy as np
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import cv2
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import torch.nn.functional as F
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from depth_anything.dpt import DPT_DINOv2
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from depth_anything.util.transform import Resize, NormalizeImage, PrepareForNet
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@@ -45,6 +46,11 @@ transform = Compose([
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PrepareForNet(),
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])
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with gr.Blocks(css=css) as demo:
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gr.Markdown(title)
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gr.Markdown(description)
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@@ -63,9 +69,8 @@ with gr.Blocks(css=css) as demo:
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image = transform({'image': image})['image']
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image = torch.from_numpy(image).unsqueeze(0).to(DEVICE)
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depth = F.interpolate(depth[None], (h, w), mode='bilinear', align_corners=False)[0, 0]
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raw_depth = Image.fromarray(depth.cpu().numpy().astype('uint16'))
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tmp = tempfile.NamedTemporaryFile(suffix='.png', delete=False)
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import spaces
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import gradio as gr
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import cv2
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import numpy as np
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from PIL import Image
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import torch
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import torch.nn.functional as F
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from torchvision.transforms import Compose
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import tempfile
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from depth_anything.dpt import DPT_DINOv2
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from depth_anything.util.transform import Resize, NormalizeImage, PrepareForNet
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PrepareForNet(),
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])
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@spaces.GPU
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def predict_depth(model, image):
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with torch.no_grad():
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return model(image)
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with gr.Blocks(css=css) as demo:
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gr.Markdown(title)
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gr.Markdown(description)
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image = transform({'image': image})['image']
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image = torch.from_numpy(image).unsqueeze(0).to(DEVICE)
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depth = predict_depth(model, image)
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depth = F.interpolate(depth[None], (h, w), mode='bilinear', align_corners=False)[0, 0]
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raw_depth = Image.fromarray(depth.cpu().numpy().astype('uint16'))
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tmp = tempfile.NamedTemporaryFile(suffix='.png', delete=False)
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