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Functions37 in github.com/LeapLabTHU/ActiveNeRF

↓ 12 callersFunctionnormalize
(x)
load_llff.py:125
↓ 3 callersFunction_minify
(basedir, factors=[], resolutions=[])
load_llff.py:8
↓ 3 callersFunctionposes_avg
(poses)
load_llff.py:140
↓ 3 callersFunctionrender
Render rays Args: H: int. Height of image in pixels. W: int. Width of image in pixels. focal: float. Focal length of pinhole
run_nerf.py:68
↓ 3 callersFunctionrender_path
(render_poses, hwf, chunk, render_kwargs, gt_imgs=None, savedir=None, render_factor=0)
run_nerf.py:136
↓ 2 callersFunctionget_embedder
(multires, i=0)
run_nerf_helpers.py:53
↓ 2 callersFunctionget_rays
(H, W, focal, c2w)
run_nerf_helpers.py:162
↓ 2 callersFunctionget_rays_np
(H, W, focal, c2w)
run_nerf_helpers.py:174
↓ 2 callersFunctionraw2outputs
Transforms model's predictions to semantically meaningful values. Args: raw: [num_rays, num_samples along ray, 4]. Prediction from model
run_nerf.py:272
↓ 2 callersFunctionviewmatrix
(z, up, pos)
load_llff.py:128
↓ 1 callersFunction_load_data
(basedir, factor=None, width=None, height=None, load_imgs=True)
load_llff.py:62
↓ 1 callersFunctionbatchify
Constructs a version of 'fn' that applies to smaller batches.
run_nerf.py:26
↓ 1 callersFunctionbatchify_rays
Render rays in smaller minibatches to avoid OOM.
run_nerf.py:53
↓ 1 callersFunctionchoose_new_k
(H, W, focal, batch_rays, k, **render_kwargs_train)
run_nerf.py:431
↓ 1 callersFunctionconfig_parser
()
run_nerf.py:457
↓ 1 callersMethodcreate_embedding_fn
(self)
run_nerf_helpers.py:25
↓ 1 callersFunctioncreate_nerf
Instantiate NeRF's MLP model.
run_nerf.py:183
↓ 1 callersMethodembed
(self, inputs)
run_nerf_helpers.py:49
↓ 1 callersFunctionimread
(f)
load_llff.py:108
↓ 1 callersFunctionload_blender_data
(basedir, half_res=False, testskip=1)
load_blender.py:37
↓ 1 callersFunctionload_llff_data
(basedir, factor=8, recenter=True, bd_factor=.75, spherify=False, path_zflat=False)
load_llff.py:243
↓ 1 callersFunctionmin_line_dist
(rays_o, rays_d)
load_llff.py:191
↓ 1 callersFunctionndc_rays
(H, W, focal, near, rays_o, rays_d)
run_nerf_helpers.py:184
↓ 1 callersFunctionpose_spherical
(theta, phi, radius)
load_blender.py:29
↓ 1 callersFunctionrecenter_poses
(poses)
load_llff.py:166
↓ 1 callersFunctionrender_path_spiral
(c2w, up, rads, focal, zdelta, zrate, rots, N)
load_llff.py:153
↓ 1 callersFunctionrender_rays
Volumetric rendering. Args: ray_batch: array of shape [batch_size, ...]. All information necessary for sampling along a ray, incl
run_nerf.py:319
↓ 1 callersFunctionrun_network
Prepares inputs and applies network 'fn'.
run_nerf.py:36
↓ 1 callersFunctionsample_pdf
(bins, weights, N_samples, det=False, pytest=False)
run_nerf_helpers.py:205
↓ 1 callersFunctionspherify_poses
(poses, bds)
load_llff.py:184
↓ 1 callersFunctiontrain
()
run_nerf.py:573
Method__init__
(self, **kwargs)
run_nerf_helpers.py:21
Method__init__
run_nerf_helpers.py:73
Methodforward
(self, x)
run_nerf_helpers.py:104
Methodload_weights_from_keras
(self, weights)
run_nerf_helpers.py:130
Functionptstocam
(pts, c2w)
load_llff.py:136
Functionret
(inputs)
run_nerf.py:31