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Functions3,158 in github.com/baaivision/GeoDream

↓ 1 callersMethodp_sample_plms
( self, x, c, t, index, repeat_noise=False, use_origin
extern/ldm_zero123/models/diffusion/plms.py:269
↓ 1 callersMethodp_sample_plms
(self, x, c, t, index, repeat_noise=False, use_original_steps=False, quantize_denoised=False,
mv-diffusion/One-2-3-45-by-view/ldm/models/diffusion/plms.py:180
↓ 1 callersFunctionparse_scheduler_to_instance
(config, optimizer)
threestudio/systems/utils.py:56
↓ 1 callersMethodpatch_homography
(self, H, uv)
mv-diffusion/One-2-3-45-by-view/reconstruction/models/patch_projector.py:149
↓ 1 callersMethodpatch_homography
(self, H, uv)
mv-diffusion/One-2-3-45/reconstruction/models/patch_projector.py:149
↓ 1 callersMethodpatch_warp
:param pts: [N_rays, n_samples, 3] :param uv : [N_rays, 2] normalized in (-1, 1) :param normals: [N_rays, n_samples, 3] Th
mv-diffusion/One-2-3-45-by-view/reconstruction/models/patch_projector.py:45
↓ 1 callersMethodpatch_warp
:param pts: [N_rays, n_samples, 3] :param uv : [N_rays, 2] normalized in (-1, 1) :param normals: [N_rays, n_samples, 3] Th
mv-diffusion/One-2-3-45/reconstruction/models/patch_projector.py:45
↓ 1 callersFunctionpatches_from_image
(img, p_size=512, p_overlap=64, p_max=800)
extern/ldm_zero123/modules/image_degradation/utils_image.py:107
↓ 1 callersFunctionpatches_from_image
(img, p_size=512, p_overlap=64, p_max=800)
mv-diffusion/One-2-3-45-by-view/ldm/modules/image_degradation/utils_image.py:93
↓ 1 callersMethodpixel_warp
:param pts: [N_rays, n_samples, 3] :param imgs: [N_views, 3, H, W] :param intrinsics: [N_views, 4, 4] :param c2ws: [
mv-diffusion/One-2-3-45-by-view/reconstruction/models/patch_projector.py:21
↓ 1 callersMethodpixel_warp
:param pts: [N_rays, n_samples, 3] :param imgs: [N_views, 3, H, W] :param intrinsics: [N_views, 4, 4] :param c2ws: [
mv-diffusion/One-2-3-45/reconstruction/models/patch_projector.py:21
↓ 1 callersMethodplms_sampling
( self, cond, shape, x_T=None, ddim_use_original_steps=False,
extern/ldm_zero123/models/diffusion/plms.py:163
↓ 1 callersMethodplms_sampling
(self, cond, shape, x_T=None, ddim_use_original_steps=False, callb
mv-diffusion/One-2-3-45-by-view/ldm/models/diffusion/plms.py:120
↓ 1 callersMethodpost_configure
executed after weights are loaded
threestudio/systems/base.py:86
↓ 1 callersFunctionpred_bbox
(image)
mv-diffusion/One-2-3-45-by-view/utils/utils.py:10
↓ 1 callersMethodpredict_eps_from_z_and_v
(self, x_t, t, v)
mv-diffusion/MVDream/mvdream/ldm/interface.py:113
↓ 1 callersFunctionpredict_multiview
(shape_dir, args)
mv-diffusion/One-2-3-45-by-view/run.py:75
↓ 1 callersMethodpredict_start_from_z_and_v
(self, x_t, t, v)
mv-diffusion/MVDream/mvdream/ldm/interface.py:107
↓ 1 callersMethodprepare_data
(self, index)
threestudio/data/co3d.py:542
↓ 1 callersMethodprepare_embeddings
(self, image_path: str)
threestudio/models/guidance/zero123_guidance.py:150
↓ 1 callersMethodprepare_extra_step_kwargs
(self, generator, eta)
extern/zero123.py:332
↓ 1 callersMethodprepare_image_cond
(self, cond_rgb: Float[Tensor, "B H W C"])
threestudio/models/guidance/controlnet_guidance.py:267
↓ 1 callersMethodprepare_image_embeddings
(self)
threestudio/models/guidance/zero123_unified_guidance.py:221
↓ 1 callersMethodprepare_text_embeddings
(self)
threestudio/models/prompt_processors/base.py:372
↓ 1 callersFunctionpreprocess
(predictor, raw_im, lower_contrast=False)
mv-diffusion/One-2-3-45-by-view/run.py:12
↓ 1 callersMethodpreprocess
(self, x_img)
extern/ldm_zero123/guidance.py:16
↓ 1 callersMethodpreprocess
(self, x)
extern/ldm_zero123/modules/encoders/modules.py:383
↓ 1 callersMethodpreprocess
(self, x)
extern/ldm_zero123/modules/encoders/modules.py:457
↓ 1 callersMethodpreprocess
(self, x)
extern/ldm_zero123/modules/encoders/modules.py:515
↓ 1 callersMethodpreprocess
(self, x_img)
mv-diffusion/One-2-3-45-by-view/ldm/guidance.py:15
↓ 1 callersMethodpreprocess
(self, x)
mv-diffusion/One-2-3-45-by-view/ldm/modules/encoders/modules.py:307
↓ 1 callersMethodpreprocess
(self, x)
mv-diffusion/One-2-3-45-by-view/ldm/modules/encoders/modules.py:363
↓ 1 callersMethodpreprocess
(self, x)
mv-diffusion/One-2-3-45-by-view/ldm/modules/encoders/modules.py:409
↓ 1 callersMethodpreprocess_prompt
(self, prompt: str)
threestudio/models/prompt_processors/base.py:444
↓ 1 callersMethodprogressive_view
(self, global_step)
threestudio/data/uncond.py:151
↓ 1 callersMethodproposal_requires_grad_fn
(step: int)
threestudio/models/renderers/nerf_volume_renderer.py:97
↓ 1 callersMethodpt2np
(self, x)
mv-diffusion/One-2-3-45-by-view/ldm/data/laion.py:231
↓ 1 callersMethodq_mean_variance
Get the distribution q(x_t | x_0). :param x_start: the [N x C x ...] tensor of noiseless inputs. :param t: the number of diff
extern/ldm_zero123/models/diffusion/ddpm.py:337
↓ 1 callersMethodq_mean_variance
Get the distribution q(x_t | x_0). :param x_start: the [N x C x ...] tensor of noiseless inputs. :param t: the number of diff
mv-diffusion/One-2-3-45-by-view/ldm/models/diffusion/ddpm.py:254
↓ 1 callersMethodq_sample
(self, x_start, t, noise=None)
extern/ldm_zero123/modules/encoders/modules.py:667
↓ 1 callersMethodq_sample
(self, x_start, t, noise=None)
mv-diffusion/MVDream/mvdream/ldm/interface.py:90
↓ 1 callersMethodq_sample
(self, x_start, t, noise=None)
mv-diffusion/One-2-3-45-by-view/ldm/modules/encoders/modules.py:517
↓ 1 callersMethodquantize
(self, x, *args, **kwargs)
mv-diffusion/MVDream/mvdream/ldm/models/autoencoder.py:211
↓ 1 callersFunctionrandom_crop
(lq, hq, sf=4, lq_patchsize=64)
extern/ldm_zero123/modules/image_degradation/bsrgan_light.py:464
↓ 1 callersFunctionrandom_crop
(lq, hq, sf=4, lq_patchsize=64)
mv-diffusion/One-2-3-45-by-view/ldm/modules/image_degradation/bsrgan_light.py:431
↓ 1 callersMethodrasterize_one
( self, pos: Float[Tensor, "Nv 4"], tri: Integer[Tensor, "Nf 3"], resolution:
threestudio/utils/rasterize.py:39
↓ 1 callersFunctionratio_threshold
Computes the percentage of pixels for which the ratio of the two depth maps is less than a given threshold. Takes preprocessed depths (no nan
mv-diffusion/One-2-3-45-by-view/reconstruction/loss/depth_metric.py:181
↓ 1 callersFunctionratio_threshold
Computes the percentage of pixels for which the ratio of the two depth maps is less than a given threshold. Takes preprocessed depths (no nan
mv-diffusion/One-2-3-45/reconstruction/loss/depth_metric.py:181
↓ 1 callersMethodray_sampler
Sample the ray in a given range and run secant on rays which have sign transition
mv-diffusion/One-2-3-45-by-view/reconstruction/models/fast_renderer.py:190
↓ 1 callersMethodray_sampler
Sample the ray in a given range and run secant on rays which have sign transition
mv-diffusion/One-2-3-45/reconstruction/models/fast_renderer.py:190
↓ 1 callersMethodread_batch
(self, batch_size: int)
extern/ldm_zero123/modules/evaluate/adm_evaluator.py:484
↓ 1 callersMethodread_batch
(self, batch_size: int)
mv-diffusion/One-2-3-45-by-view/ldm/modules/evaluate/adm_evaluator.py:457
↓ 1 callersMethodread_batches
(self, batch_size: int)
extern/ldm_zero123/modules/evaluate/adm_evaluator.py:491
↓ 1 callersMethodread_batches
(self, batch_size: int)
mv-diffusion/One-2-3-45-by-view/ldm/modules/evaluate/adm_evaluator.py:464
↓ 1 callersFunctionreconstruct
(exp_dir, text="", output_format=".ply", device_idx=0, resolution=256, save_vis=False)
mv-diffusion/One-2-3-45-by-view/run.py:42
↓ 1 callersMethodregister_schedule
( self, beta_schedule="linear", timesteps=1000, linear_start=1e-4, lin
extern/ldm_zero123/modules/encoders/modules.py:619
↓ 1 callersMethodregister_schedule
(self, given_betas=None, beta_schedule="linear", timesteps=1000, linear_start=1e-4,
mv-diffusion/MVDream/mvdream/ldm/interface.py:47
↓ 1 callersMethodregister_schedule
(self, beta_schedule="linear", timesteps=1000, linear_start=1e-4, linear_end=2e-2, c
mv-diffusion/One-2-3-45-by-view/ldm/modules/encoders/modules.py:490
↓ 1 callersMethodremaining
(self)
extern/ldm_zero123/modules/evaluate/adm_evaluator.py:488
↓ 1 callersMethodremaining
(self)
mv-diffusion/One-2-3-45-by-view/ldm/modules/evaluate/adm_evaluator.py:461
↓ 1 callersMethodrender
(self, rays_o, rays_d, near, far, sdf_network, rendering_network,# torch.Size([512, 3]) rays_d=torch.Size([512
mv-diffusion/One-2-3-45-by-view/reconstruction/models/sparse_neus_renderer.py:457
↓ 1 callersMethodrender_core
(self, rays_o, rays_d, z_vals,
mv-diffusion/One-2-3-45-by-view/reconstruction/models/sparse_neus_renderer.py:171
↓ 1 callersMethodrender_core
(self, rays_o, rays_d, z_vals,
mv-diffusion/One-2-3-45/reconstruction/models/sparse_neus_renderer.py:171
↓ 1 callersMethodreset
(self)
mv-diffusion/One-2-3-45-by-view/reconstruction/loss/color_loss.py:129
↓ 1 callersMethodreset
(self)
mv-diffusion/One-2-3-45/reconstruction/loss/color_loss.py:129
↓ 1 callersMethodreset_noise_accs
(self)
extern/ldm_zero123/models/diffusion/classifier.py:241
↓ 1 callersMethodreset_noise_accs
(self)
mv-diffusion/One-2-3-45-by-view/ldm/models/diffusion/classifier.py:202
↓ 1 callersMethodrestore
Restore the parameters stored with the `store` method. Useful to validate the model with EMA parameters without affecting the
mv-diffusion/MVDream/mvdream/ldm/modules/ema.py:68
↓ 1 callersMethodreverse
(self, output)
threestudio/utils/GAN/discriminator.py:74
↓ 1 callersFunctionrigid_transform
Applies a rigid transform (c2w) to an (N, 3) pointcloud.
mv-diffusion/One-2-3-45-by-view/reconstruction/data/scene.py:5
↓ 1 callersFunctionrigid_transform
Applies a rigid transform (c2w) to an (N, 3) pointcloud.
mv-diffusion/One-2-3-45/reconstruction/data/scene.py:5
↓ 1 callersMethodrun_safety_checker
(self, image, device, dtype)
extern/zero123.py:299
↓ 1 callersFunctionsafe_l2_normalize
(x, dim=None, eps=1e-6)
mv-diffusion/One-2-3-45-by-view/reconstruction/models/projector.py:7
↓ 1 callersFunctionsafe_l2_normalize
(x, dim=None, eps=1e-6)
mv-diffusion/One-2-3-45/reconstruction/models/projector.py:7
↓ 1 callersFunctionsam_init
(device_id=0)
mv-diffusion/One-2-3-45-by-view/utils/sam_utils.py:9
↓ 1 callersFunctionsam_out_nosave
(predictor, input_image, *bbox_sliders)
mv-diffusion/One-2-3-45-by-view/utils/sam_utils.py:19
↓ 1 callersMethodsample
( self, S, batch_size, shape, conditioning=None, callback=None
extern/ldm_zero123/models/diffusion/ddim.py:105
↓ 1 callersMethodsample
( self, cond, batch_size=16, return_intermediates=False, x_T=None,
extern/ldm_zero123/models/diffusion/ddpm.py:1590
↓ 1 callersMethodsample
(self, S, batch_size, shape, conditioning=None,
mv-diffusion/One-2-3-45-by-view/ldm/models/diffusion/ddim.py:69
↓ 1 callersMethodsample
(self, cond, batch_size=16, return_intermediates=False, x_T=None, verbose=True, timesteps=None,
mv-diffusion/One-2-3-45-by-view/ldm/models/diffusion/ddpm.py:1209
↓ 1 callersMethodsample
( self, prompt_utils: PromptProcessorOutput, elevation: Float[Tensor, "B"], az
threestudio/models/guidance/stable_diffusion_vsd_guidance.py:324
↓ 1 callersMethodsample_z_vals_from_maskVolume
(self, rays_o, rays_d, near, far, mask_volume)
mv-diffusion/One-2-3-45-by-view/reconstruction/models/sparse_neus_renderer.py:661
↓ 1 callersMethodsample_z_vals_from_maskVolume
(self, rays_o, rays_d, near, far, mask_volume)
mv-diffusion/One-2-3-45/reconstruction/models/sparse_neus_renderer.py:661
↓ 1 callersMethodsave_checkpoint
(self)
mv-diffusion/One-2-3-45-by-view/reconstruction/exp_runner_generic_blender_train.py:479
↓ 1 callersMethodsave_checkpoint
(self)
mv-diffusion/One-2-3-45-by-view/reconstruction/exp_runner_generic_blender_val.py:486
↓ 1 callersMethodsave_checkpoint
(self)
mv-diffusion/One-2-3-45/reconstruction/exp_runner_generic_blender_train.py:480
↓ 1 callersMethodsave_checkpoint
(self)
mv-diffusion/One-2-3-45/reconstruction/exp_runner_generic_blender_val.py:485
↓ 1 callersMethodsave_code_snapshot
(self)
threestudio/utils/callbacks.py:80
↓ 1 callersMethodsave_config_snapshot
(self)
threestudio/utils/callbacks.py:104
↓ 1 callersMethodsave_visualization
(self, true_img, true_colored_depth, out_depth, out_normal, w2cs, out_color, H, W,
mv-diffusion/One-2-3-45-by-view/reconstruction/models/trainer_generic.py:161
↓ 1 callersMethodschedule
(self, n, **kwargs)
extern/ldm_zero123/lr_scheduler.py:26
↓ 1 callersMethodschedule
(self, n, **kwargs)
extern/ldm_zero123/lr_scheduler.py:83
↓ 1 callersMethodschedule
(self, n, **kwargs)
mv-diffusion/One-2-3-45-by-view/ldm/lr_scheduler.py:17
↓ 1 callersMethodschedule
(self, n, **kwargs)
mv-diffusion/One-2-3-45-by-view/ldm/lr_scheduler.py:59
↓ 1 callersMethodsdf
(self, pts, conditional_volume, lod)
mv-diffusion/One-2-3-45-by-view/reconstruction/models/sparse_sdf_network.py:408
↓ 1 callersMethodsdf
(self, pts, conditional_volume, lod)
mv-diffusion/One-2-3-45-by-view/reconstruction/models/sparse_sdf_network.py:686
↓ 1 callersMethodsdf
(self, pts, conditional_volume, lod)
mv-diffusion/One-2-3-45/reconstruction/models/sparse_sdf_network.py:402
↓ 1 callersMethodsdf
(self, pts, conditional_volume, lod)
mv-diffusion/One-2-3-45/reconstruction/models/sparse_sdf_network.py:680
↓ 1 callersMethodsecant
Runs the secant method for interval [z_low, z_high] for n_secant_steps
mv-diffusion/One-2-3-45-by-view/reconstruction/models/fast_renderer.py:262
↓ 1 callersMethodsecant
Runs the secant method for interval [z_low, z_high] for n_secant_steps
mv-diffusion/One-2-3-45/reconstruction/models/fast_renderer.py:262
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