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0508f0b6f5d37f1a5fb10e5c55fa4fd0541aab03..f9e0f9c44d4176eda37856775f0acd7b08e25ea9 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 trying out additional inputs like cameras and depth, please check out the code in our Github repo.

+

This demo demonstrates the use of image inputs only. However, MapAnything is extremely flexible and supports any combination of inputs (images, calibration, poses & depth). For trying out memory efficient inference or additional inputs like cameras & depth, please check out the code in our Github repo.

Getting Started:

    @@ -148,7 +148,7 @@ def get_description_html():
-

Please note: Depending on the amount of images, our model usually only needs about 1 second to reconstruct a scene. However, downloading model weights and visualizing 3D points may take tens of seconds. Please be patient or, for faster visualization, use a local machine to run our demo from our GitHub repository.

+

Please note: The inference time changes based on the amount of input images, for e.g., less than 1 second for up to 50 views. However, downloading model weights and visualizing 3D points may take tens of seconds. Please be patient or, for faster visualization, use a local machine to run our demo from our GitHub repository.

"""