diff --git a/app.py b/app.py index 381555a679b73727f2bc5f1304fde5a1c8f4d93d..a07e8bd027c20f55bf78c435d2a5813d7c1763ff 100644 --- a/app.py +++ b/app.py @@ -62,7 +62,7 @@ high_level_config = { "checkpoint_name": "model.safetensors", "config_name": "config.json", "trained_with_amp": True, - "trained_with_amp_dtype": "fp16", + "trained_with_amp_dtype": "bf16", "data_norm_type": "dinov2", "patch_size": 14, "resolution": 518, @@ -1181,18 +1181,18 @@ with gr.Blocks(theme=theme, css=GRADIO_CSS) as demo: choices=["All"], value="All", label="Show Points from Frame" ) with gr.Column(): - gr.Markdown("### Pointcloud options (live updates)") + gr.Markdown("### Pointcloud Options: (live updates)") show_cam = gr.Checkbox(label="Show Camera", value=True) - show_mesh = gr.Checkbox(label="Show mesh", value=True) + show_mesh = gr.Checkbox(label="Show Mesh", value=True) filter_black_bg = gr.Checkbox( label="Filter Black Background", value=False ) filter_white_bg = gr.Checkbox( label="Filter White Background", value=False ) - gr.Markdown("### Reconstruction options: (updated on next run)") + gr.Markdown("### Reconstruction Options: (updated on next run)") apply_mask_checkbox = gr.Checkbox( - label="Apply non-ambiguous mask", value=True + label="Apply mask for predicted ambiguous depth classes & edges", value=True ) # ---------------------- Example Scenes Section ---------------------- gr.Markdown("## Example Scenes (lists all scenes in the examples folder)") diff --git a/examples/Aachen/aachen_night.png b/examples/Aachen/aachen_night.png new file mode 100644 index 0000000000000000000000000000000000000000..c7e604afb16753774947c6ae89444a5a8381a27c --- /dev/null +++ b/examples/Aachen/aachen_night.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0729df6bacfb595fd00e4dfb19e486756163380021c3835d6a36926bc9fb73a7 +size 471547 diff --git a/examples/Aachen/aachen_spring.png b/examples/Aachen/aachen_spring.png new file mode 100644 index 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sha256:b09482a2b7e18d272205988732aa1ec7d74c26f7d523961457ae05edc3909bbb -size 274384 diff --git a/mapanything/utils/hf_utils/css_and_html.py b/mapanything/utils/hf_utils/css_and_html.py index e395c516004b1a0a678cc5f13c5f0e09f719bbc4..c9c197cb1d7292c31d36da7c4903603fa7515a74 100644 --- a/mapanything/utils/hf_utils/css_and_html.py +++ b/mapanything/utils/hf_utils/css_and_html.py @@ -124,7 +124,7 @@ def get_description_html(): return """

Upload a video or a set of images to create a 3D reconstruction of a scene or object. MapAnything takes these images and generates 3D point clouds directly from multi-view images.

-

This demo demonstrates the image input configuration only. For other input configuration, please check out the code in our Github repo.

+

This demo demonstrates the image input configuration only. For trying out additional inputs like cameras and depth, please check out the code in our Github repo.

Getting Started:

    @@ -133,15 +133,17 @@ def get_description_html():
  1. Reconstruct: Click the "Reconstruct" button to start the 3D reconstruction process.
  2. Visualize: The 3D reconstruction will appear in the viewer on the right. You can rotate, pan, and zoom to explore the model, and download the GLB file. Note the visualization of 3D points may be slow for a large number of input images.
  3. - Adjust Visualization (Optional): - After reconstruction, you can fine-tune the visualization using the options below + Adjust Reconstruction & Visualization (Optional): + You can fine-tune the visualization using the options below the viewer
    (click to expand):
      -
    • Confidence Threshold: Adjust the filtering of depth/normals based on confidence.
      • -
    • Show Points from Frame: Select specific frames to display in the point cloud.
    • Show Camera: Toggle the display of estimated camera positions.
      • -
    • Filter Sky / Filter Black Background: Remove sky or black-background points.
      • +
    • Show Mesh: Use meshes for the prediction visualization.
      • +
    • Show Points from Frame: Select specific frames to display in the viewer.
      • +
    • Filter Black Background: Remove black background pixels.
      • +
    • Filter White Background: Remove white background pixels.
      • +