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Functions151 in github.com/DIVE128/DMVSNet

↓ 28 callersFunctionprint
(*args, **kwargs)
tools.py:291
↓ 11 callersFunctionread_pfm
(filename)
datasets/data_io.py:6
↓ 10 callersMethod__init__
(self, in_channels, out_channels, kernel_size, stride=1, relu=True, bn=True, bn_momentum=0.1,
networks/module.py:42
↓ 9 callersFunctionThres_metrics
(depth_est, depth_gt, mask, thres,return_Mean=False)
tools.py:190
↓ 8 callersFunctionMonte_Carlo_sampling_loss
(depth_est, depth_gt, mask, weight,mode="center",reflect=False,regress_fn=None)
loss.py:106
↓ 8 callersFunctionis_main_process
()
tools.py:280
↓ 8 callersFunctionregression_loss
(depth_est, depth_gt, mask, weight)
loss.py:156
↓ 5 callersFunctionread_pfm
(filename)
filter/pcd.py:16
↓ 5 callersMethodupdate
(self, new_input)
tools.py:24
↓ 4 callersFunctioninit_bn
(module)
networks/module.py:11
↓ 4 callersFunctioninit_uniform
(module, init_method)
networks/module.py:19
↓ 4 callersFunctionsave_scalars
(logger, mode, scalar_dict, global_step)
tools.py:75
↓ 4 callersFunctionsigmoid
(x, base=2.71828)
loss.py:271
↓ 4 callersFunctiontensor2numpy
(vars)
tools.py:109
↓ 3 callersFunctionAbsDepthError_metrics
(depth_est, depth_gt, mask, thres=None)
tools.py:178
↓ 3 callersFunctionget_loader
(args, datapath, listfile, nviews, mode="train",force_test=False)
datasets/__init__.py:11
↓ 3 callersFunctionreproject_with_depth_pytorch
(depth_ref, intrinsics_ref, extrinsics_ref, depth_src, intrinsics_src, extrinsics_src)
filter/dypcd_tanks.py:102
↓ 3 callersFunctionsave_mask
(filename, mask)
filter/dypcd_tanks.py:18
↓ 3 callersFunctionsave_mask
(filename, mask)
filter/pcd.py:54
↓ 3 callersFunctionsave_pfm
(filename, image, scale=1)
datasets/data_io.py:44
↓ 3 callersFunctiontensor2float
(vars)
tools.py:119
↓ 3 callersFunctiontocuda
(vars)
tools.py:150
↓ 2 callersMethod__init__
(self, ndepths, depth_interval_ratio, cr_base_chs=None, fea_mode="fpn", agg_mode="variance", depth_mode="regre
networks/mvsnet.py:157
↓ 2 callersFunctiondepth_regression
(p, depth_values,axis=1)
networks/module.py:454
↓ 2 callersFunctionis_dist_avail_and_initialized
()
tools.py:260
↓ 2 callersMethodprepare_img
(self, hr_img)
datasets/dtu_yao.py:78
↓ 2 callersFunctionpreprocess
(name, img)
tools.py:90
↓ 2 callersFunctionread_camera_parameters
(filename)
filter/dypcd_tanks.py:33
↓ 2 callersFunctionread_camera_parameters
(filename)
filter/pcd.py:68
↓ 2 callersFunctionreduce_scalar_outputs
(scalar_outputs)
tools.py:128
↓ 2 callersFunctionreproject_with_depth_pytorch
(depth_ref, intrinsics_ref, extrinsics_ref, depth_src, intrinsics_src, extrinsics_src,tnp=True)
filter/pcd.py:152
↓ 2 callersFunctionsave_images
(logger, mode, images_dict, global_step)
tools.py:87
↓ 2 callersFunctiontocuda
(varlist:list)
filter/pcd.py:136
↓ 2 callersMethodtrain
(self)
model.py:87
↓ 2 callersMethodvalidate
(self, epoch=0)
model.py:216
↓ 1 callersFunctionbinary_cross_entropy_with_logits
(input, target, weight=None, size_average=None, reduce=False, reduction='
loss.py:161
↓ 1 callersMethodbuild_list
(self)
datasets/blendedmvs.py:47
↓ 1 callersMethodbuild_list
(self)
datasets/dtu_yao.py:33
↓ 1 callersMethodbuild_list
(self)
datasets/general_eval.py:26
↓ 1 callersFunctioncheck_geometric_consistency
(args, depth_ref, intrinsics_ref, extrinsics_ref, depth_src, intrinsics_src, extrinsics_src)
filter/dypcd_tanks.py:164
↓ 1 callersFunctioncheck_geometric_consistency
(depth_ref, intrinsics_ref, extrinsics_ref, depth_src, intrinsics_src, extrinsics_src)
filter/pcd.py:226
↓ 1 callersFunctionclassification_loss_1
(prob_volume, depth_values, interval, depth_gt, mask, weight)
loss.py:188
↓ 1 callersFunctiondypcd_filter
(args, testlist, number_worker,suffix=None)
filter/dypcd_tanks.py:392
↓ 1 callersFunctiondypcd_filter_worker
(args, scene,suffix=None)
filter/dypcd_tanks.py:369
↓ 1 callersFunctionfilter_depth
(args, pair_folder, scan_folder, out_folder, plyfilename)
filter/dypcd_tanks.py:186
↓ 1 callersFunctionfilter_depth
(args, pair_folder, scan_folder, out_folder, plyfilename)
filter/pcd.py:244
↓ 1 callersFunctionget_cur_depth_range_samples_inverse_n
(last_depth, ndepth, depth_inteval_pixel)
networks/module.py:540
↓ 1 callersFunctionget_cur_depth_range_samples_inverse_p
(last_depth, ndepth, depth_inteval_pixel)
networks/module.py:525
↓ 1 callersFunctionget_cur_depth_range_samples_n
(last_depth, ndepth, depth_inteval_pixel)
networks/module.py:476
↓ 1 callersFunctionget_cur_depth_range_samples_p
(last_depth, ndepth, depth_inteval_pixel)
networks/module.py:492
↓ 1 callersFunctionget_depth_range_samples
(last_depth, ndepth, depth_inteval_pixel, shape=None,next_depth_inteval_pixel=None,inverse=False)
networks/module.py:556
↓ 1 callersFunctionget_rank
()
tools.py:274
↓ 1 callersFunctionget_schedular
(optimizer, args)
tools.py:242
↓ 1 callersFunctionget_world_size
()
tools.py:268
↓ 1 callersFunctiongfocal_loss
(prob_volume, depth_values, interval, depth_gt, mask, weight, gamma, alpha)
loss.py:212
↓ 1 callersFunctionhomo_warping
(src_fea, src_proj, ref_proj, depth_values)
networks/module.py:212
↓ 1 callersFunctioninit_distributed_mode
(args)
tools.py:299
↓ 1 callersMethodmain
(self)
model.py:74
↓ 1 callersFunctionmotion_blur
(img: np.ndarray, max_kernel_size=3)
datasets/blendedmvs.py:11
↓ 1 callersFunctionpcd_filter
(args, testlist, number_worker,suffix=None)
filter/pcd.py:388
↓ 1 callersFunctionpcd_filter_worker
(args, scan,suffix=None)
filter/pcd.py:365
↓ 1 callersMethodread_cam
(self, filename)
datasets/blendedmvs.py:87
↓ 1 callersMethodread_cam_file
(self, filename)
datasets/dtu_yao.py:58
↓ 1 callersMethodread_cam_file
(self, filename, interval_scale)
datasets/general_eval.py:61
↓ 1 callersMethodread_depth_and_mask
(self, filename, depth_min)
datasets/blendedmvs.py:114
↓ 1 callersMethodread_depth_hr
(self, filename)
datasets/dtu_yao.py:115
↓ 1 callersFunctionread_img
(filename)
filter/dypcd_tanks.py:25
↓ 1 callersFunctionread_img
(filename)
filter/pcd.py:60
↓ 1 callersMethodread_img
(self, filename)
datasets/blendedmvs.py:77
↓ 1 callersMethodread_img
(self, filename)
datasets/dtu_yao.py:71
↓ 1 callersMethodread_img
(self, filename)
datasets/general_eval.py:83
↓ 1 callersMethodread_mask_hr
(self, filename)
datasets/dtu_yao.py:97
↓ 1 callersFunctionread_pair_file
(filename)
filter/dypcd_tanks.py:47
↓ 1 callersFunctionread_pair_file
(filename)
filter/pcd.py:82
↓ 1 callersMethodrefine
(self, cost_reg, depth_values, num_depth, interval,alpha=5)
networks/mvsnet.py:67
↓ 1 callersFunctionreproject_with_depth
(depth_ref, intrinsics_ref, extrinsics_ref, depth_src, intrinsics_src, extrinsics_src)
filter/dypcd_tanks.py:61
↓ 1 callersMethodscale_mvs_input
(self, img, intrinsics, max_w, max_h, base=global_base)
datasets/general_eval.py:97
↓ 1 callersFunctionsetup_for_distributed
This function disables printing when not in master process
tools.py:284
↓ 1 callersMethodtest
(self,parameters=True)
model.py:302
↓ 1 callersFunctiontocuda
(varlist:list)
filter/dypcd_tanks.py:103
↓ 1 callersFunctiontonumpy
(varlist:list)
filter/dypcd_tanks.py:110
↓ 1 callersFunctiontonumpy
(varlist:list)
filter/pcd.py:145
↓ 1 callersMethodtrain_epoch
(self, epoch)
model.py:105
↓ 1 callersFunctionunified_focal_loss
(prob_volume, depth_values, interval, depth_gt, mask, weight, gamma, alpha)
loss.py:252
↓ 1 callersMethodvisualization
(self)
model.py:393
↓ 1 callersFunctionwrite_cam
(file, cam)
tools.py:40
Method__call__
(self, image, normal)
datasets/data_io.py:78
Method__getitem__
(self, idx)
datasets/blendedmvs.py:133
Method__getitem__
(self, idx)
datasets/dtu_yao.py:129
Method__getitem__
(self, idx)
datasets/general_eval.py:126
Method__init__
(self)
tools.py:19
Method__init__
(self, args)
model.py:19
Method__init__
(self, mode="regression")
networks/mvsnet.py:12
Method__init__
(self, mode="variance", in_channels=None)
networks/mvsnet.py:103
Method__init__
(self, in_channels, out_channels, kernel_size, stride=1, relu=True, bn=True, bn_momentum=0.1,
networks/module.py:86
Method__init__
(self, in_channels, out_channels, kernel_size=3, stride=1, relu=True, bn=True, bn_momentum=0.
networks/module.py:134
Method__init__
(self, in_channels, out_channels, kernel_size=3, stride=1, relu=True, bn=True, bn_momentum=0.
networks/module.py:180
Method__init__
(self, in_channels, out_channels, kernel_size, relu=True, bn=True, bn_momentum=0.1)
networks/module.py:254
Method__init__
(self, base_channels, num_stage=3, stride=4, mode="fpn",layernorm=False)
networks/module.py:275
Method__init__
(self, in_channels, base_channels,stage=0)
networks/module.py:343
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