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Upload app.py
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app.py
CHANGED
@@ -296,14 +296,24 @@ with gr.Blocks(title="Depth Anything AC - Depth Estimation Demo", theme=gr.theme
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with gr.Tabs():
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# Image processing tab
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with gr.TabItem("π· Image Depth Estimation"):
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with gr.Row():
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with gr.Column():
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input_image = gr.Image(
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label="Upload Image",
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type="pil",
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height=400
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)
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image_colormap_choice = gr.Dropdown(
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choices=["Spectral", "Inferno", "Gray"],
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value="Spectral",
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@@ -316,17 +326,17 @@ with gr.Blocks(title="Depth Anything AC - Depth Estimation Demo", theme=gr.theme
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size="lg"
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)
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with gr.Column():
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type="pil",
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height=400
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)
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gr.Examples(
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examples=[
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["toyset/1.png", "Spectral"],
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["toyset/2.png", "Spectral"],
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["toyset/good.png", "Spectral"],
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] if os.path.exists("toyset") else [],
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inputs=[input_image, image_colormap_choice],
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@@ -338,13 +348,22 @@ with gr.Blocks(title="Depth Anything AC - Depth Estimation Demo", theme=gr.theme
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# Video processing tab
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with gr.TabItem("π¬ Video Depth Estimation"):
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with gr.Row():
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with gr.Column():
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input_video = gr.Video(
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label="Upload Video",
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height=400
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)
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video_colormap_choice = gr.Dropdown(
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choices=["Spectral", "Inferno", "Gray"],
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value="Spectral",
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@@ -357,11 +376,9 @@ with gr.Blocks(title="Depth Anything AC - Depth Estimation Demo", theme=gr.theme
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size="lg"
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)
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-
with gr.Column():
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-
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height=400
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)
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gr.Examples(
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examples=[
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with gr.Tabs():
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# Image processing tab
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with gr.TabItem("π· Image Depth Estimation"):
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with gr.Row(equal_height=True):
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with gr.Column(scale=1):
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input_image = gr.Image(
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label="Upload Image",
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type="pil",
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height=400
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)
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with gr.Column(scale=1):
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output_image = gr.Image(
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label="Depth Map Result",
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type="pil",
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height=400
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)
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# Controls section below the aligned images
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with gr.Row():
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with gr.Column(scale=1):
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image_colormap_choice = gr.Dropdown(
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choices=["Spectral", "Inferno", "Gray"],
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value="Spectral",
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size="lg"
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)
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with gr.Column(scale=1):
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# Empty column for balance
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gr.Markdown("")
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gr.Examples(
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examples=[
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["toyset/1.png", "Spectral"],
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["toyset/2.png", "Spectral"],
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["toyset/3.png", "Spectral"],
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["toyset/4.png", "Spectral"],
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["toyset/5.png", "Spectral"],
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["toyset/good.png", "Spectral"],
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] if os.path.exists("toyset") else [],
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inputs=[input_image, image_colormap_choice],
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# Video processing tab
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with gr.TabItem("π¬ Video Depth Estimation"):
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with gr.Row(equal_height=True):
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with gr.Column(scale=1):
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input_video = gr.Video(
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label="Upload Video",
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height=400
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)
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with gr.Column(scale=1):
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output_video = gr.Video(
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label="Depth Map Video Result",
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height=400
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)
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# Controls section below the aligned videos
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with gr.Row():
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with gr.Column(scale=1):
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video_colormap_choice = gr.Dropdown(
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choices=["Spectral", "Inferno", "Gray"],
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value="Spectral",
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size="lg"
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)
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with gr.Column(scale=1):
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# Empty column for balance
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gr.Markdown("")
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gr.Examples(
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examples=[
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