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Functions33 in github.com/Gorilla-Lab-SCUT/tango

⨍ Functions 33 ◇ Types & classes 5

↓ 6 callersFunctionsave_gif

↓ 4 callersFunctionhemisphere_int

(lambda_val, cos_beta)

sg_render.py:84

↓ 3 callersFunctionlambda_trick

(lobe1, lambda1, mu1, lobe2, lambda2, mu2)

sg_render.py:113

↓ 2 callersFunctioncompute_energy

↓ 2 callersFunctionget_embedder

↓ 2 callersMethodget_rbg_value

(self, points,normals, view_dirs)

neural_style_field.py:247

↓ 2 callersMethodrender_single_image

(self, scene, azim , elev)

neural_style_field.py:128

↓ 1 callersMethod__init__

_summary_ Args: material_random_pe_numfreq (int, optional): the numer of frequencies using nerf's position encoding in svbrdf net

↓ 1 callersMethod__init__

(self, **kwargs)

↓ 1 callersFunctioncart2sph

↓ 1 callersFunctioncompute_envmap

(lgtSGs, H, W, upper_hemi=False)

↓ 1 callersMethodcreate_embedding_fn

↓ 1 callersMethodembed

↓ 1 callersFunctionfibonacci_sphere

https://stackoverflow.com/questions/9600801/evenly-distributing-n-points-on-a-sphere :param samples: :return:

↓ 1 callersMethodget_light

↓ 1 callersFunctionget_normalize_mesh

↓ 1 callersFunctionget_normalize_mesh

↓ 1 callersFunctionget_rays

(elev, azim, r=3.0,width = 512)

neural_style_field.py:14

↓ 1 callersFunctionget_rays1

(elev, azim, r=3.0)

neural_style_field.py:34

↓ 1 callersFunctionprepend_dims

:param tensor: tensor of shape [a1, a2, ..., an] :param shape: shape to prepend, e.g., [b1, b2, ..., bm] :return: tensor of shape [b1, b2

sg_render.py:71

↓ 1 callersFunctionrender_with_sg

:param lgtSGs: [M, 7] :param specular_reflectance: [K, 3]; :param roughness: [K, 1]; values must be positive :param diffuse_a lbedo:

sg_render.py:136

↓ 1 callersFunctionsph2cart

↓ 1 callersFunctiontest

↓ 1 callersFunctiontrain

(self, normal_nerf_pe_numfreq=True, normal_random_pe_numfreq=False,

_summary_ Args: material_random_pe_numfreq (int, optional): the numer of frequencies using nerf's position encoding in svbrdf net

neural_style_field.py:55

(self, num_input_channels=3, mapping_size=256, scale=10)

Functioncompute_envmap_pcd

(lgtSGs, N=1000, upper_hemi=False)

sg_render.py:39

(x, eo=embedder_obj)

(self, points, normals)

(self, scene, num_views=8, std=8, center_elev=0, center_azim=0)

neural_style_field.py:204