Epipolar

demo.py

@@ -1,17 +1,18 @@
 #!/usr/bin/env python
 import os
 
-import b3d
-import b3d.bayes3d as bayes3d
 import fire
 import genjax
 import jax
 import jax.numpy as jnp
 import numpy as np
 import rerun as rr
-from b3d import Pose
 from tqdm import tqdm
 
+import b3d
+import b3d.bayes3d as bayes3d
+from b3d import Pose
+
 
 def test_demo():
     rr.init("demo")

demos/detector_segmenter.py

@@ -1,7 +1,6 @@
 import io
 import os
 
-import b3d
 import jax
 import jax.numpy as jnp
 import numpy
@@ -19,6 +18,8 @@
 )
 from transformers.models.detr.feature_extraction_detr import rgb_to_id
 
+import b3d
+
 processor = OwlViTProcessor.from_pretrained("google/owlvit-base-patch32")
 model = OwlViTForObjectDetection.from_pretrained("google/owlvit-base-patch32")
 

demos/differentiable_renderer/dense_fitting/standalone_nishad_demo.py

@@ -3,11 +3,12 @@
 import functools
 import os
 
-import b3d
 import jax
 import jax.numpy as jnp
 import numpy as np
 import rerun as rr
+
+import b3d
 from b3d import Pose
 
 rr.init("gradients")

demos/differentiable_renderer/gradient_based_pose_estimation.py

@@ -1,15 +1,16 @@
 import os
 from functools import partial
 
-import b3d
-import b3d.chisight.dense.differentiable_renderer as rendering
 import jax
 import jax.numpy as jnp
 import optax
 import rerun as rr
-from b3d import Mesh, Pose
 from tqdm import tqdm
 
+import b3d
+import b3d.chisight.dense.differentiable_renderer as rendering
+from b3d import Mesh, Pose
+
 rr.init("gradients")
 rr.connect("127.0.0.1:8812")
 

demos/differentiable_renderer/gradients_for_mug.py

@@ -1,16 +1,17 @@
 import os
 from functools import partial
 
-import b3d
-import b3d.chisight.dense.differentiable_renderer as rendering
 import jax
 import jax.numpy as jnp
 import optax
 import rerun as rr
 import trimesh
-from b3d import Pose
 from tqdm import tqdm
 
+import b3d
+import b3d.chisight.dense.differentiable_renderer as rendering
+from b3d import Pose
+
 rr.init("gradients")
 rr.connect("127.0.0.1:8812")
 

demos/differentiable_renderer/patch_tracking/demo_utils.py

@@ -1,10 +1,11 @@
 import os
 
-import b3d
-import b3d.utils as utils
 import jax
 import jax.numpy as jnp
 import trimesh
+
+import b3d
+import b3d.utils as utils
 from b3d import Pose
 
 ### Utils ###

demos/differentiable_renderer/patch_tracking/model.py

@@ -1,12 +1,12 @@
-import b3d
-import b3d.chisight.dense.differentiable_renderer as rendering
 import genjax
 import jax
 import jax.numpy as jnp
 import rerun as rr
-from b3d.modeling_utils import uniform_pose
 
+import b3d
+import b3d.chisight.dense.differentiable_renderer as rendering
 import demos.differentiable_renderer.patch_tracking.demo_utils as utils
+from b3d.modeling_utils import uniform_pose
 
 
 def normalize(v):

demos/differentiable_renderer/patch_tracking/multiple_patch_tracker_2.py

@@ -1,11 +1,11 @@
-import b3d
-import b3d.chisight.dense.patch_tracking as tracking
 import numpy as np
 import rerun as rr
-from b3d.chisight.dense.model import rr_log_uniformpose_meshes_to_image_model_trace
 from tqdm import tqdm
 
+import b3d
+import b3d.chisight.dense.patch_tracking as tracking
 import demos.differentiable_renderer.patch_tracking.demo_utils as du
+from b3d.chisight.dense.model import rr_log_uniformpose_meshes_to_image_model_trace
 
 rr.init("multiple_patch_tracking_2")
 rr.connect("127.0.0.1:8812")

demos/differentiable_renderer/patch_tracking/multiple_patch_tracking.py

@@ -2,21 +2,21 @@
 
 import os
 
-import b3d
-import b3d.chisight.dense.differentiable_renderer as r
-import b3d.chisight.dense.likelihoods as l
 import genjax
 import jax
 import jax.numpy as jnp
 import numpy as np
 import optax
 import rerun as rr
 import trimesh
-from b3d import Pose
 from tqdm import tqdm
 
+import b3d
+import b3d.chisight.dense.differentiable_renderer as r
+import b3d.chisight.dense.likelihoods as l
 import demos.differentiable_renderer.patch_tracking.demo_utils as du
 import demos.differentiable_renderer.patch_tracking.model as m
+from b3d import Pose
 
 rr.init("multiple_patch_tracking")
 rr.connect("127.0.0.1:8812")

demos/differentiable_renderer/patch_tracking/single_patch_tracking_adam.py

@@ -1,17 +1,17 @@
 ### Preliminaries ###
 
-import b3d.chisight.dense.differentiable_renderer as r
-import b3d.chisight.dense.likelihoods as l
 import genjax
 import jax
 import jax.numpy as jnp
 import optax
 import rerun as rr
-from b3d import Pose
 from tqdm import tqdm
 
+import b3d.chisight.dense.differentiable_renderer as r
+import b3d.chisight.dense.likelihoods as l
 import demos.differentiable_renderer.patch_tracking.demo_utils as du
 import demos.differentiable_renderer.patch_tracking.model as m
+from b3d import Pose
 
 rr.init("single_patch_tracking")
 rr.connect("127.0.0.1:8812")

demos/differentiable_renderer/patch_tracking/single_patch_tracking_mh.py

@@ -2,18 +2,18 @@
 
 import time
 
-import b3d
-import b3d.chisight.dense.differentiable_renderer as r
-import b3d.chisight.dense.likelihoods as l
 import genjax
 import jax
 import jax.numpy as jnp
 import rerun as rr
-from b3d import Pose
 from tqdm import tqdm
 
+import b3d
+import b3d.chisight.dense.differentiable_renderer as r
+import b3d.chisight.dense.likelihoods as l
 import demos.differentiable_renderer.patch_tracking.demo_utils as du
 import demos.differentiable_renderer.patch_tracking.model as m
+from b3d import Pose
 
 rr.init("single_patch_tracking-mh")
 rr.connect("127.0.0.1:8812")

demos/differentiable_renderer/test_barycentric_interp.py

@@ -1,9 +1,10 @@
-import b3d
-import b3d.chisight.dense.differentiable_renderer as rendering
-import b3d.chisight.dense.likelihoods as likelihoods
 import jax
 import jax.numpy as jnp
 import rerun as rr
+
+import b3d
+import b3d.chisight.dense.differentiable_renderer as rendering
+import b3d.chisight.dense.likelihoods as likelihoods
 from b3d import Pose
 
 # Set up OpenGL renderer

demos/differentiable_renderer/test_basic_gd.py

@@ -1,13 +1,13 @@
 import time
 
-import b3d
-import b3d.chisight.dense.differentiable_renderer as rendering
-import b3d.chisight.dense.likelihoods as likelihoods
 import genjax
 import jax
 import jax.numpy as jnp
 import rerun as rr
 
+import b3d
+import b3d.chisight.dense.differentiable_renderer as rendering
+import b3d.chisight.dense.likelihoods as likelihoods
 import demos.differentiable_renderer.utils as utils
 
 # Set up OpenGL renderer

demos/differentiable_renderer/utils.py

@@ -1,6 +1,7 @@
-import b3d
 import jax
 import jax.numpy as jnp
+
+import b3d
 from b3d import Pose
 
 

demos/fork_knife_smc_identity_pose.py

@@ -1,15 +1,16 @@
 import os
 
-import b3d
 import genjax
 import jax
 import jax.numpy as jnp
 import numpy as np
 import rerun as rr
 import trimesh
-from b3d import Pose
 from tqdm import tqdm
 
+import b3d
+from b3d import Pose
+
 ### Choose experiment
 
 INPUT = "fork-visible"  # TODO make one dataset with both objects?

demos/graphics_edits_demo/demo_visualize.py

@@ -2,15 +2,16 @@
 import os
 import pickle
 
-import b3d
 import jax
 import jax.numpy as jnp
 import numpy as np
 import rerun as rr
 import trimesh
-from b3d import Pose
 from tqdm import tqdm
 
+import b3d
+from b3d import Pose
+
 rr.init("demo_visualize3")
 rr.connect("127.0.0.1:8812")
 

demos/graphics_edits_demo/vkm_demo.py

@@ -1,11 +1,12 @@
 import os
 
-import b3d
 import jax
 import jax.numpy as jnp
 import numpy as np
 import rerun as rr
 import trimesh
+
+import b3d
 from b3d import Pose
 
 rr.init("vkm_demo2")

demos/mesh_fitting/demo.py

@@ -1,13 +1,13 @@
 import os
 
-import b3d
 import genjax
 import jax
 import jax.numpy as jnp
 import optax
 import rerun as rr
 from tqdm import tqdm
 
+import b3d
 import demos.mesh_fitting.model as m
 import demos.mesh_fitting.tessellation as t
 

demos/mesh_fitting/demo_depth_init.py

@@ -1,10 +1,10 @@
 import os
 
-import b3d
 import genjax
 import jax
 import rerun as rr
 
+import b3d
 import demos.mesh_fitting.model as m
 import demos.mesh_fitting.utils as u
 

demos/mesh_fitting/model.py

@@ -1,9 +1,10 @@
-import b3d
-import b3d.chisight.dense.differentiable_renderer as rendering
 import genjax
 import jax
 import jax.numpy as jnp
 import rerun as rr
+
+import b3d
+import b3d.chisight.dense.differentiable_renderer as rendering
 from b3d.modeling_utils import uniform_pose
 
 

demos/mesh_fitting/utils.py

@@ -1,7 +1,7 @@
-import b3d
 import jax
 import jax.numpy as jnp
 
+import b3d
 import demos.mesh_fitting.tessellation as t
 
 

demos/posterior_datasets/identity_posterior_data_gen.py

@@ -1,12 +1,13 @@
 import os
 
-import b3d
 import jax
 import jax.numpy as jnp
 import numpy as np
 import rerun as rr
 import trimesh
 
+import b3d
+
 width = 200
 height = 200
 fx = 300.0

demos/posterior_datasets/pose_posterior_data_gen.py

@@ -1,10 +1,11 @@
 import os
 
-import b3d
 import jax
 import jax.numpy as jnp
 import rerun as rr
 import trimesh
+
+import b3d
 from b3d import Pose
 
 rr.init("demo")

demos/sparse_model/cotracker.py

@@ -1,10 +1,11 @@
 import argparse
 import time
 
-import b3d
 import numpy as np
 import torch
 
+import b3d
+
 parser = argparse.ArgumentParser("r3d_to_video_input")
 parser.add_argument("input", help=".r3d File", type=str)
 args = parser.parse_args()