- .gitignore +3 -1
- app.py +83 -29
- example/bear/00000.jpg +0 -0
- example/bear/00001.jpg +0 -0
- example/bear/00002.jpg +0 -0
- example/bear/00003.jpg +0 -0
- example/bear/00004.jpg +0 -0
- example/bear/00005.jpg +0 -0
- example/bear/00006.jpg +0 -0
- example/bear/00007.jpg +0 -0
- example/bear/00008.jpg +0 -0
- example/bear/00009.jpg +0 -0
- example/breakdance/00000.jpg +0 -0
- example/breakdance/00001.jpg +0 -0
- example/breakdance/00002.jpg +0 -0
- example/breakdance/00003.jpg +0 -0
- example/breakdance/00004.jpg +0 -0
- example/breakdance/00005.jpg +0 -0
- example/breakdance/00006.jpg +0 -0
- example/breakdance/00007.jpg +0 -0
- example/breakdance/00008.jpg +0 -0
- example/breakdance/00009.jpg +0 -0
- example/camel/00000.jpg +0 -0
- example/camel/00001.jpg +0 -0
- example/camel/00002.jpg +0 -0
- example/camel/00003.jpg +0 -0
- example/camel/00004.jpg +0 -0
- example/camel/00005.jpg +0 -0
- example/camel/00006.jpg +0 -0
- example/camel/00007.jpg +0 -0
- example/camel/00008.jpg +0 -0
- example/camel/00009.jpg +0 -0
- example/tennis/00000.jpg +0 -0
- example/tennis/00001.jpg +0 -0
- example/tennis/00002.jpg +0 -0
- example/tennis/00003.jpg +0 -0
- example/tennis/00004.jpg +0 -0
- example/tennis/00005.jpg +0 -0
- example/tennis/00006.jpg +0 -0
- example/tennis/00007.jpg +0 -0
- example/tennis/00008.jpg +0 -0
- example/tennis/00009.jpg +0 -0
- example/yellowman/frame_0003.png +0 -0
- example/yellowman/frame_0014.png +0 -0
.gitignore
CHANGED
@@ -1,4 +1,6 @@
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*.pth
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2 |
*.pt
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.gitignore
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4 |
-
*.glb
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1 |
*.pth
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2 |
*.pt
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3 |
.gitignore
|
4 |
+
*.glb
|
5 |
+
output/*
|
6 |
+
app_test.py
|
app.py
CHANGED
@@ -17,6 +17,8 @@ import copy
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|
17 |
from tqdm import tqdm
|
18 |
import cv2
|
19 |
from PIL import Image
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|
20 |
|
21 |
from dust3r.inference import inference
|
22 |
from dust3r.model import AsymmetricCroCo3DStereo
|
@@ -32,16 +34,19 @@ import spaces
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|
32 |
from huggingface_hub import hf_hub_download
|
33 |
pl.ion()
|
34 |
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|
35 |
# for gpu >= Ampere and pytorch >= 1.12
|
36 |
torch.backends.cuda.matmul.allow_tf32 = True
|
37 |
batch_size = 1
|
38 |
|
39 |
tmpdirname = tempfile.mkdtemp(suffix='_align3r_gradio_demo')
|
40 |
image_size = 512
|
41 |
-
silent =
|
42 |
gradio_delete_cache = 7200
|
43 |
-
|
44 |
-
hf_hub_download(repo_id="apple/DepthPro", filename='depth_pro.pt', local_dir='third_party/ml-depth-pro/checkpoints/')
|
45 |
|
46 |
class FileState:
|
47 |
def __init__(self, outfile_name=None):
|
@@ -141,24 +146,16 @@ def local_get_reconstructed_scene(filelist, min_conf_thr, as_pointcloud, mask_sk
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|
141 |
loss = scene.compute_global_alignment(init='mst', niter=300, schedule='linear', lr=lr)
|
142 |
# mode = GlobalAlignerMode.PairViewer
|
143 |
# scene = global_aligner(output, device=device, mode=mode, verbose=not silent)
|
144 |
-
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|
145 |
os.makedirs(save_folder, exist_ok=True)
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146 |
outfile = get_3D_model_from_scene(save_folder, silent, scene, min_conf_thr, as_pointcloud, mask_sky, clean_depth, transparent_cams, cam_size)
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147 |
|
148 |
return outfile
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149 |
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150 |
|
151 |
-
def run_example(snapshot,
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152 |
-
return local_get_reconstructed_scene(
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153 |
-
# filelist = ['/home/lipeng/ljh_code/Video_Depth_CVPR2025-main/Align3R/data/davis/DAVIS/JPEGImages/480p/bear/00000.jpg', '/home/lipeng/ljh_code/Video_Depth_CVPR2025-main/Align3R/data/davis/DAVIS/JPEGImages/480p/bear/00008.jpg','/home/lipeng/ljh_code/Video_Depth_CVPR2025-main/Align3R/data/davis/DAVIS/JPEGImages/480p/bear/00004.jpg', '/home/lipeng/ljh_code/Video_Depth_CVPR2025-main/Align3R/data/davis/DAVIS/JPEGImages/480p/bear/00010.jpg']
|
154 |
-
# min_conf_thr = 1.1
|
155 |
-
# as_pointcloud = True
|
156 |
-
# mask_sky = False
|
157 |
-
# clean_depth = True
|
158 |
-
# transparent_cams = False
|
159 |
-
# cam_size = 0.2
|
160 |
-
# depth_prior_name = 'Depth Anything V2'
|
161 |
-
# local_get_reconstructed_scene(filelist, min_conf_thr, as_pointcloud, mask_sky, clean_depth, transparent_cams, cam_size, depth_prior_name)
|
162 |
|
163 |
css = """.gradio-container {margin: 0 !important; min-width: 100%};"""
|
164 |
title = "Align3R Demo"
|
@@ -174,14 +171,14 @@ with gradio.Blocks(css=css, title=title, delete_cache=(gradio_delete_cache, grad
|
|
174 |
snapshot = gradio.Image(None, visible=False)
|
175 |
with gradio.Row():
|
176 |
# adjust the camera size in the output pointcloud
|
177 |
-
cam_size = gradio.Slider(label="cam_size", value=0.
|
178 |
|
179 |
depth_prior_name = gradio.Dropdown(
|
180 |
["Depth Pro", "Depth Anything V2"], label="monocular depth estimation model", info="Select the monocular depth estimation model.")
|
181 |
-
min_conf_thr = gradio.Slider(label="min_conf_thr", value=
|
182 |
with gradio.Row():
|
183 |
as_pointcloud = gradio.Checkbox(value=True, label="As pointcloud")
|
184 |
-
mask_sky = gradio.Checkbox(value=
|
185 |
clean_depth = gradio.Checkbox(value=True, label="Clean-up depthmaps")
|
186 |
transparent_cams = gradio.Checkbox(value=False, label="Transparent cameras")
|
187 |
# not to show camera
|
@@ -189,17 +186,74 @@ with gradio.Blocks(css=css, title=title, delete_cache=(gradio_delete_cache, grad
|
|
189 |
run_btn = gradio.Button("Run")
|
190 |
outmodel = gradio.Model3D()
|
191 |
|
192 |
-
|
193 |
-
|
194 |
-
|
195 |
-
|
196 |
-
|
197 |
-
|
198 |
-
|
199 |
-
|
200 |
-
|
201 |
-
|
202 |
-
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|
203 |
|
204 |
# events
|
205 |
run_btn.click(fn=local_get_reconstructed_scene,
|
|
|
17 |
from tqdm import tqdm
|
18 |
import cv2
|
19 |
from PIL import Image
|
20 |
+
import os.path as path
|
21 |
+
import sys
|
22 |
|
23 |
from dust3r.inference import inference
|
24 |
from dust3r.model import AsymmetricCroCo3DStereo
|
|
|
34 |
from huggingface_hub import hf_hub_download
|
35 |
pl.ion()
|
36 |
|
37 |
+
HERE_PATH = path.normpath(path.dirname(__file__)) # noqa
|
38 |
+
sys.path.insert(0, HERE_PATH) # noqa
|
39 |
+
|
40 |
# for gpu >= Ampere and pytorch >= 1.12
|
41 |
torch.backends.cuda.matmul.allow_tf32 = True
|
42 |
batch_size = 1
|
43 |
|
44 |
tmpdirname = tempfile.mkdtemp(suffix='_align3r_gradio_demo')
|
45 |
image_size = 512
|
46 |
+
silent = False
|
47 |
gradio_delete_cache = 7200
|
48 |
+
print(f'{HERE_PATH}/third_party/ml-depth-pro/checkpoints/')
|
49 |
+
hf_hub_download(repo_id="apple/DepthPro", filename='depth_pro.pt', local_dir=f'{HERE_PATH}/third_party/ml-depth-pro/checkpoints/')
|
50 |
|
51 |
class FileState:
|
52 |
def __init__(self, outfile_name=None):
|
|
|
146 |
loss = scene.compute_global_alignment(init='mst', niter=300, schedule='linear', lr=lr)
|
147 |
# mode = GlobalAlignerMode.PairViewer
|
148 |
# scene = global_aligner(output, device=device, mode=mode, verbose=not silent)
|
149 |
+
|
150 |
+
save_folder = './output/bear'
|
151 |
os.makedirs(save_folder, exist_ok=True)
|
152 |
outfile = get_3D_model_from_scene(save_folder, silent, scene, min_conf_thr, as_pointcloud, mask_sky, clean_depth, transparent_cams, cam_size)
|
153 |
|
154 |
return outfile
|
155 |
|
156 |
|
157 |
+
def run_example(snapshot, min_conf_thr, as_pointcloud, mask_sky, clean_depth, transparent_cams, cam_size, depth_prior_name, inputfiles, **kw):
|
158 |
+
return local_get_reconstructed_scene(inputfiles, min_conf_thr, as_pointcloud, mask_sky, clean_depth, transparent_cams, cam_size, depth_prior_name, **kw)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
159 |
|
160 |
css = """.gradio-container {margin: 0 !important; min-width: 100%};"""
|
161 |
title = "Align3R Demo"
|
|
|
171 |
snapshot = gradio.Image(None, visible=False)
|
172 |
with gradio.Row():
|
173 |
# adjust the camera size in the output pointcloud
|
174 |
+
cam_size = gradio.Slider(label="cam_size", value=0.02, minimum=0.001, maximum=1.0, step=0.001)
|
175 |
|
176 |
depth_prior_name = gradio.Dropdown(
|
177 |
["Depth Pro", "Depth Anything V2"], label="monocular depth estimation model", info="Select the monocular depth estimation model.")
|
178 |
+
min_conf_thr = gradio.Slider(label="min_conf_thr", value=2, minimum=0.0, maximum=20, step=0.01)
|
179 |
with gradio.Row():
|
180 |
as_pointcloud = gradio.Checkbox(value=True, label="As pointcloud")
|
181 |
+
mask_sky = gradio.Checkbox(value=True, label="Mask sky")
|
182 |
clean_depth = gradio.Checkbox(value=True, label="Clean-up depthmaps")
|
183 |
transparent_cams = gradio.Checkbox(value=False, label="Transparent cameras")
|
184 |
# not to show camera
|
|
|
186 |
run_btn = gradio.Button("Run")
|
187 |
outmodel = gradio.Model3D()
|
188 |
|
189 |
+
examples = gradio.Examples(
|
190 |
+
examples=[
|
191 |
+
[
|
192 |
+
os.path.join(HERE_PATH, 'example/bear/00000.jpg'),
|
193 |
+
2, True, True, True, False, 0.02, "Depth Anything V2",
|
194 |
+
[os.path.join(HERE_PATH, 'example/bear/00000.jpg'),
|
195 |
+
os.path.join(HERE_PATH, 'example/bear/00001.jpg'),
|
196 |
+
os.path.join(HERE_PATH, 'example/bear/00002.jpg'),
|
197 |
+
os.path.join(HERE_PATH, 'example/bear/00003.jpg'),
|
198 |
+
os.path.join(HERE_PATH, 'example/bear/00004.jpg'),
|
199 |
+
os.path.join(HERE_PATH, 'example/bear/00005.jpg'),
|
200 |
+
os.path.join(HERE_PATH, 'example/bear/00006.jpg'),
|
201 |
+
os.path.join(HERE_PATH, 'example/bear/00007.jpg'),
|
202 |
+
os.path.join(HERE_PATH, 'example/bear/00008.jpg'),
|
203 |
+
os.path.join(HERE_PATH, 'example/bear/00009.jpg'),
|
204 |
+
]
|
205 |
+
],
|
206 |
+
[
|
207 |
+
os.path.join(HERE_PATH, 'example/breakdance/00000.jpg'),
|
208 |
+
2, True, True, True, False, 0.02, "Depth Anything V2",
|
209 |
+
[os.path.join(HERE_PATH, 'example/breakdance/00000.jpg'),
|
210 |
+
os.path.join(HERE_PATH, 'example/breakdance/00001.jpg'),
|
211 |
+
os.path.join(HERE_PATH, 'example/breakdance/00002.jpg'),
|
212 |
+
os.path.join(HERE_PATH, 'example/breakdance/00003.jpg'),
|
213 |
+
os.path.join(HERE_PATH, 'example/breakdance/00004.jpg'),
|
214 |
+
os.path.join(HERE_PATH, 'example/breakdance/00005.jpg'),
|
215 |
+
os.path.join(HERE_PATH, 'example/breakdance/00006.jpg'),
|
216 |
+
os.path.join(HERE_PATH, 'example/breakdance/00007.jpg'),
|
217 |
+
os.path.join(HERE_PATH, 'example/breakdance/00008.jpg'),
|
218 |
+
os.path.join(HERE_PATH, 'example/breakdance/00009.jpg'),
|
219 |
+
]
|
220 |
+
],
|
221 |
+
[
|
222 |
+
os.path.join(HERE_PATH, 'example/tennis/00000.jpg'),
|
223 |
+
2, True, True, True, False, 0.02, "Depth Anything V2",
|
224 |
+
[os.path.join(HERE_PATH, 'example/tennis/00000.jpg'),
|
225 |
+
os.path.join(HERE_PATH, 'example/tennis/00001.jpg'),
|
226 |
+
os.path.join(HERE_PATH, 'example/tennis/00002.jpg'),
|
227 |
+
os.path.join(HERE_PATH, 'example/tennis/00003.jpg'),
|
228 |
+
os.path.join(HERE_PATH, 'example/tennis/00004.jpg'),
|
229 |
+
os.path.join(HERE_PATH, 'example/tennis/00005.jpg'),
|
230 |
+
os.path.join(HERE_PATH, 'example/tennis/00006.jpg'),
|
231 |
+
os.path.join(HERE_PATH, 'example/tennis/00007.jpg'),
|
232 |
+
os.path.join(HERE_PATH, 'example/tennis/00008.jpg'),
|
233 |
+
os.path.join(HERE_PATH, 'example/tennis/00009.jpg'),
|
234 |
+
]
|
235 |
+
],
|
236 |
+
[
|
237 |
+
os.path.join(HERE_PATH, 'example/camel/00000.jpg'),
|
238 |
+
2, True, True, True, False, 0.02, "Depth Anything V2",
|
239 |
+
[os.path.join(HERE_PATH, 'example/camel/00000.jpg'),
|
240 |
+
os.path.join(HERE_PATH, 'example/camel/00001.jpg'),
|
241 |
+
os.path.join(HERE_PATH, 'example/camel/00002.jpg'),
|
242 |
+
os.path.join(HERE_PATH, 'example/camel/00003.jpg'),
|
243 |
+
os.path.join(HERE_PATH, 'example/camel/00004.jpg'),
|
244 |
+
os.path.join(HERE_PATH, 'example/camel/00005.jpg'),
|
245 |
+
os.path.join(HERE_PATH, 'example/camel/00006.jpg'),
|
246 |
+
os.path.join(HERE_PATH, 'example/camel/00007.jpg'),
|
247 |
+
os.path.join(HERE_PATH, 'example/camel/00008.jpg'),
|
248 |
+
os.path.join(HERE_PATH, 'example/camel/00009.jpg'),
|
249 |
+
]
|
250 |
+
],
|
251 |
+
],
|
252 |
+
inputs=[snapshot, min_conf_thr, as_pointcloud, mask_sky, clean_depth, transparent_cams, cam_size, depth_prior_name, inputfiles],
|
253 |
+
outputs=[outmodel],
|
254 |
+
fn=run_example,
|
255 |
+
cache_examples="lazy",
|
256 |
+
)
|
257 |
|
258 |
# events
|
259 |
run_btn.click(fn=local_get_reconstructed_scene,
|
example/bear/00000.jpg
ADDED
example/bear/00001.jpg
ADDED
example/bear/00002.jpg
ADDED
example/bear/00003.jpg
ADDED
example/bear/00004.jpg
ADDED
example/bear/00005.jpg
ADDED
example/bear/00006.jpg
ADDED
example/bear/00007.jpg
ADDED
example/bear/00008.jpg
ADDED
example/bear/00009.jpg
ADDED
example/breakdance/00000.jpg
ADDED
example/breakdance/00001.jpg
ADDED
example/breakdance/00002.jpg
ADDED
example/breakdance/00003.jpg
ADDED
example/breakdance/00004.jpg
ADDED
example/breakdance/00005.jpg
ADDED
example/breakdance/00006.jpg
ADDED
example/breakdance/00007.jpg
ADDED
example/breakdance/00008.jpg
ADDED
example/breakdance/00009.jpg
ADDED
example/camel/00000.jpg
ADDED
example/camel/00001.jpg
ADDED
example/camel/00002.jpg
ADDED
example/camel/00003.jpg
ADDED
example/camel/00004.jpg
ADDED
example/camel/00005.jpg
ADDED
example/camel/00006.jpg
ADDED
example/camel/00007.jpg
ADDED
example/camel/00008.jpg
ADDED
example/camel/00009.jpg
ADDED
example/tennis/00000.jpg
ADDED
example/tennis/00001.jpg
ADDED
example/tennis/00002.jpg
ADDED
example/tennis/00003.jpg
ADDED
example/tennis/00004.jpg
ADDED
example/tennis/00005.jpg
ADDED
example/tennis/00006.jpg
ADDED
example/tennis/00007.jpg
ADDED
example/tennis/00008.jpg
ADDED
example/tennis/00009.jpg
ADDED
example/yellowman/frame_0003.png
DELETED
Binary file (778 kB)
|
|
example/yellowman/frame_0014.png
DELETED
Binary file (826 kB)
|
|