small ui improvements
Browse files
app.py
CHANGED
@@ -84,14 +84,21 @@ def local_get_reconstructed_scene(filelist, min_conf_thr, matching_conf_thr,
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return filestate, outfile
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css = """.gradio-container {margin: 0 !important; min-width: 100%};"""
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title = "MASt3R Demo"
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with gradio.Blocks(css=css, title=title, delete_cache=(gradio_delete_cache, gradio_delete_cache)) as demo:
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filestate = gradio.State(None)
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gradio.HTML('<h2 style="text-align: center;">3D Reconstruction with MASt3R</h2>')
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gradio.HTML('<
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with gradio.Column():
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inputfiles = gradio.File(file_count="multiple")
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with gradio.Row():
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matching_conf_thr = gradio.Slider(label="Matching Confidence Thr", value=2.,
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minimum=0., maximum=30., step=0.1,
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@@ -110,6 +117,7 @@ with gradio.Blocks(css=css, title=title, delete_cache=(gradio_delete_cache, grad
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examples = gradio.Examples(
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examples=[
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[
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[os.path.join(HERE_PATH, 'mast3r/assets/NLE_tower/01D90321-69C8-439F-B0B0-E87E7634741C-83120-000041DAE419D7AE.jpg'),
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os.path.join(
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HERE_PATH, 'mast3r/assets/NLE_tower/1AD85EF5-B651-4291-A5C0-7BDB7D966384-83120-000041DADF639E09.jpg'),
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@@ -125,9 +133,9 @@ with gradio.Blocks(css=css, title=title, delete_cache=(gradio_delete_cache, grad
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1.5, 0.0, True, 0.2, False
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]
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],
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inputs=[inputfiles, min_conf_thr, matching_conf_thr, as_pointcloud, cam_size, shared_intrinsics],
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outputs=[filestate, outmodel],
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fn=
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cache_examples="lazy",
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)
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@@ -138,5 +146,5 @@ with gradio.Blocks(css=css, title=title, delete_cache=(gradio_delete_cache, grad
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cam_size, shared_intrinsics],
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outputs=[filestate, outmodel])
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demo.launch(share=None, server_name=None, server_port=None)
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shutil.rmtree(tmpdirname)
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return filestate, outfile
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def run_example(snapshot, filelist, min_conf_thr, matching_conf_thr,as_pointcloud, cam_size, shared_intrinsics, **kw):
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return local_get_reconstructed_scene(filelist, min_conf_thr, matching_conf_thr, as_pointcloud, cam_size, shared_intrinsics, **kw)
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css = """.gradio-container {margin: 0 !important; min-width: 100%};"""
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title = "MASt3R Demo"
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with gradio.Blocks(css=css, title=title, delete_cache=(gradio_delete_cache, gradio_delete_cache)) as demo:
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filestate = gradio.State(None)
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gradio.HTML('<h2 style="text-align: center;">3D Reconstruction with MASt3R</h2>')
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gradio.HTML('<p>Upload one or multiple images. '
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'We tested with up to 18 images before running into the allocation timeout - set at 3 minutes but your mileage may vary. '
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'If you want to try larger image collections, you can find the more complete version of this demo that you can run locally '
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'and more details about the method at <a href="https://github.com/naver/mast3r">github.com/naver/mast3r</a></p>')
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with gradio.Column():
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inputfiles = gradio.File(file_count="multiple")
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snapshot = gradio.Image(None, visible=False)
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with gradio.Row():
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matching_conf_thr = gradio.Slider(label="Matching Confidence Thr", value=2.,
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minimum=0., maximum=30., step=0.1,
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examples = gradio.Examples(
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examples=[
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[
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os.path.join(HERE_PATH, 'mast3r/assets/NLE_tower/FF5599FD-768B-431A-AB83-BDA5FB44CB9D-83120-000041DADDE35483.jpg'),
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[os.path.join(HERE_PATH, 'mast3r/assets/NLE_tower/01D90321-69C8-439F-B0B0-E87E7634741C-83120-000041DAE419D7AE.jpg'),
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os.path.join(
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HERE_PATH, 'mast3r/assets/NLE_tower/1AD85EF5-B651-4291-A5C0-7BDB7D966384-83120-000041DADF639E09.jpg'),
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1.5, 0.0, True, 0.2, False
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]
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],
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inputs=[snapshot, inputfiles, min_conf_thr, matching_conf_thr, as_pointcloud, cam_size, shared_intrinsics],
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outputs=[filestate, outmodel],
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fn=run_example,
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cache_examples="lazy",
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)
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cam_size, shared_intrinsics],
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outputs=[filestate, outmodel])
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demo.launch(show_error=True, share=None, server_name=None, server_port=None)
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shutil.rmtree(tmpdirname)
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