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# Copyright 2023-2025 Marigold Team, ETH Zürich. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# --------------------------------------------------------------------------
# More information about Marigold:
# https://marigoldmonodepth.github.io
# https://marigoldcomputervision.github.io
# Efficient inference pipelines are now part of diffusers:
# https://huggingface.co/docs/diffusers/using-diffusers/marigold_usage
# https://huggingface.co/docs/diffusers/api/pipelines/marigold
# Examples of trained models and live demos:
# https://huggingface.co/prs-eth
# Related projects:
# https://rollingdepth.github.io/
# https://marigolddepthcompletion.github.io/
# Citation (BibTeX):
# https://github.com/prs-eth/Marigold#-citation
# If you find Marigold useful, we kindly ask you to cite our papers.
# --------------------------------------------------------------------------
import os
import tempfile
import gradio as gr
from PIL import Image
from extrude import extrude_depth_3d
from gradio_patches.examples import Examples
default_seed = 2024
default_batch_size = 4
default_bas_plane_near = 0.0
default_bas_plane_far = 1.0
default_bas_embossing = 20
default_bas_size_longest_px = 512
default_bas_size_longest_cm = 10
default_bas_filter_size = 3
default_bas_frame_thickness = 5
default_bas_frame_near = 1
default_bas_frame_far = 1
def process_bas(
path_input_depth,
path_input_rgb=None,
plane_near=default_bas_plane_near,
plane_far=default_bas_plane_far,
embossing=default_bas_embossing,
size_longest_px=default_bas_size_longest_px,
size_longest_cm=default_bas_size_longest_cm,
filter_size=default_bas_filter_size,
frame_thickness=default_bas_frame_thickness,
frame_near=default_bas_frame_near,
frame_far=default_bas_frame_far,
):
if path_input_depth is None:
raise gr.Error(
"Missing image in the first pane: upload a file or use one from the gallery below."
)
input_depth = Image.open(path_input_depth)
if input_depth.mode not in ("I", "I;16"):
raise gr.Error(
f"Input depth must be a 16-bit PNG image of a depth map, found {input_depth.mode}"
)
depth_longest_px = max(input_depth.size)
input_rgb = None
if path_input_rgb is not None:
input_rgb = Image.open(path_input_rgb).convert("RGB")
if (
input_depth.size[0] * input_rgb.size[1]
!= input_depth.size[0] * input_rgb.size[1]
):
raise gr.Error(
f"Inputs have incompatible dimensions: {input_depth.size} and {input_rgb.size}"
)
if plane_near >= plane_far:
raise gr.Error("NEAR plane must have a value smaller than the FAR plane")
name_base, name_ext = os.path.splitext(os.path.basename(path_input_depth))
print(f"Processing bas-relief {name_base}{name_ext}")
path_output_dir = tempfile.mkdtemp()
def _process_3d(
size_longest_px,
filter_size,
vertex_colors,
scene_lights,
output_model_scale=None,
prepare_for_3d_printing=False,
zip_outputs=False,
):
image_new_w = size_longest_px * input_depth.width // depth_longest_px
image_new_h = size_longest_px * input_depth.height // depth_longest_px
image_new_sz = (image_new_w, image_new_h)
path_depth_new = os.path.join(
path_output_dir, f"{name_base}_depth_{size_longest_px}.png"
)
(
input_depth.convert(mode="F")
.resize(image_new_sz, Image.BILINEAR)
.convert("I")
.save(path_depth_new)
)
path_rgb_new = None
if input_rgb is not None:
path_rgb_new = os.path.join(
path_output_dir, f"{name_base}_rgb_{size_longest_px}{name_ext}"
)
input_rgb.resize(image_new_sz, Image.LANCZOS).save(path_rgb_new)
path_glb, path_stl, path_obj = extrude_depth_3d(
path_depth_new,
path_rgb_new,
output_model_scale=(
size_longest_cm * 10
if output_model_scale is None
else output_model_scale
),
filter_size=filter_size,
coef_near=plane_near,
coef_far=plane_far,
emboss=embossing / 100,
f_thic=frame_thickness / 100,
f_near=frame_near / 100,
f_back=frame_far / 100,
vertex_colors=vertex_colors,
scene_lights=scene_lights,
prepare_for_3d_printing=prepare_for_3d_printing,
zip_outputs=zip_outputs,
)
return path_glb, path_stl, path_obj
path_viewer_glb, _, _ = _process_3d(
256, filter_size, vertex_colors=False, scene_lights=True, output_model_scale=1
)
path_files_glb, path_files_stl, path_files_obj = _process_3d(
size_longest_px,
filter_size,
vertex_colors=True,
scene_lights=False,
prepare_for_3d_printing=True,
zip_outputs=True,
)
return path_viewer_glb, [path_files_glb, path_files_stl, path_files_obj]
with gr.Blocks(
title="Depth To 3D Print",
css="""
#download {
height: 118px;
}
.viewport {
aspect-ratio: 4/3;
}
h1 {
text-align: center;
display: block;
}
h2 {
text-align: center;
display: block;
}
h3 {
text-align: center;
display: block;
}
a {
display: inline-block;
}
.md_feedback li {
margin-bottom: 0px !important;
}
ol {
margin: 0 auto;
width: fit-content;
text-align: left;
}
ol li {
margin-bottom: 0px;
}
""",
head="""
<script async src="https://www.googletagmanager.com/gtag/js?id=G-1FWSVCGZTG"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag() {dataLayer.push(arguments);}
gtag('js', new Date());
gtag('config', 'G-1FWSVCGZTG');
</script>
""",
) as demo:
gr.Markdown(
"""
# Depth To 3D Print
<p align="center">
<a title="Get Depth" href="https://huggingface.co/spaces/prs-eth/marigold" target="_blank" rel="noopener noreferrer" style="display: inline-block;">
<img src="https://img.shields.io/badge/🤗%20Create%20Your%20-Depth%20from%20Image-blue" alt="Get Depth">
</a>
<a title="Website" href="https://marigoldcomputervision.github.io/" target="_blank" rel="noopener noreferrer"
style="display: inline-block;">
<img src="https://img.shields.io/badge/%F0%9F%A4%8D%20Project%20-Website-af2928" alt="Website Badge">
</a>
<a title="Social" href="https://twitter.com/antonobukhov1" target="_blank" rel="noopener noreferrer"
style="display: inline-block;">
<img src="https://www.obukhov.ai/img/badges/badge-social.svg" alt="social">
</a><br>
Start exploring the interactive bas-relief examples at the bottom of the page!
To create your own watertight 3D-printable bas-relief depth map:
</p>
<ol>
<li>Click the "Create Your Depth from Image" badge above</li>
<li>Upload the input there and download the 16-bit PNG (right click save)</li>
<li>Return to this demo</li>
<li>Load your 16-bit depth PNG file in the top-left pane</li>
<li>Click "Create 3D"</li>
</ol>
"""
)
with gr.Row():
with gr.Column():
bas_depth = gr.Image(
label="Depth",
type="filepath",
format="png",
image_mode=None,
sources=["upload", "clipboard"],
show_fullscreen_button=False,
)
bas_rgb = gr.Image(
label="Image (optional)",
type="filepath",
sources=["upload", "clipboard"],
show_fullscreen_button=False,
)
with gr.Row():
bas_submit_btn = gr.Button(value="Create 3D", variant="primary")
bas_reset_btn = gr.Button(value="Reset")
with gr.Accordion("3D printing demo: Main options", open=True):
bas_plane_near = gr.Slider(
label="Near plane",
minimum=0.0,
maximum=1.0,
step=0.001,
value=default_bas_plane_near,
)
bas_plane_far = gr.Slider(
label="Far plane",
minimum=0.0,
maximum=1.0,
step=0.001,
value=default_bas_plane_far,
)
bas_embossing = gr.Slider(
label="Embossing level",
minimum=0,
maximum=100,
step=1,
value=default_bas_embossing,
)
with gr.Accordion("3D printing demo: Advanced options", open=False):
bas_size_longest_px = gr.Slider(
label="Longest side (px)",
minimum=256,
maximum=1024,
step=256,
value=default_bas_size_longest_px,
)
bas_size_longest_cm = gr.Slider(
label="Longest side (cm)",
minimum=1,
maximum=100,
step=1,
value=default_bas_size_longest_cm,
)
bas_filter_size = gr.Slider(
label="Smooth radius",
minimum=1,
maximum=5,
step=2,
value=default_bas_filter_size,
)
bas_frame_thickness = gr.Slider(
label="Frame thickness",
minimum=0,
maximum=100,
step=1,
value=default_bas_frame_thickness,
)
bas_frame_near = gr.Slider(
label="Near offset",
minimum=-100,
maximum=100,
step=1,
value=default_bas_frame_near,
)
bas_frame_far = gr.Slider(
label="Far offset",
minimum=1,
maximum=10,
step=1,
value=default_bas_frame_far,
)
with gr.Column():
bas_output_viewer = gr.Model3D(
camera_position=(75.0, 90.0, 1.25),
elem_classes="viewport",
label="3D preview",
interactive=False,
)
bas_output_files = gr.Files(
label="3D models",
elem_id="download",
interactive=False,
)
Examples(
fn=process_bas,
examples=[
[
"files/einstein_depth_16bit.png", # input_depth
"files/einstein_rgb.jpg", # input_rgb
0.0, # plane_near
0.5, # plane_far
50, # embossing
512, # size_longest_px
10, # size_longest_cm
3, # filter_size
5, # frame_thickness
-25, # frame_near
1, # frame_far
],
],
inputs=[
bas_depth,
bas_rgb,
bas_plane_near,
bas_plane_far,
bas_embossing,
bas_size_longest_px,
bas_size_longest_cm,
bas_filter_size,
bas_frame_thickness,
bas_frame_near,
bas_frame_far,
],
outputs=[bas_output_viewer, bas_output_files],
cache_examples=True,
directory_name="outputs",
)
bas_submit_btn.click(
fn=process_bas,
inputs=[
bas_depth,
bas_rgb,
bas_plane_near,
bas_plane_far,
bas_embossing,
bas_size_longest_px,
bas_size_longest_cm,
bas_filter_size,
bas_frame_thickness,
bas_frame_near,
bas_frame_far,
],
outputs=[bas_output_viewer, bas_output_files],
)
bas_reset_btn.click(
fn=lambda: (
gr.Button(interactive=True),
None,
None,
None,
None,
default_bas_plane_near,
default_bas_plane_far,
default_bas_embossing,
default_bas_size_longest_px,
default_bas_size_longest_cm,
default_bas_filter_size,
default_bas_frame_thickness,
default_bas_frame_near,
default_bas_frame_far,
),
inputs=[],
outputs=[
bas_submit_btn,
bas_depth,
bas_rgb,
bas_output_viewer,
bas_output_files,
bas_plane_near,
bas_plane_far,
bas_embossing,
bas_size_longest_px,
bas_size_longest_cm,
bas_filter_size,
bas_frame_thickness,
bas_frame_near,
bas_frame_far,
],
)
if __name__ == "__main__":
demo.queue(
api_open=False,
).launch(
share=True,
server_port=7860,
)
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