Functions — github.com/Wang-xjtu/G2-MonoDepth

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Functions69 in github.com/Wang-xjtu/G2-MonoDepth

⨍ Functions 69 ◇ Types & classes 19

↓ 6 callersFunctionsave_img

( data: Tensor, file_name: Path, )

src/utils.py:43

↓ 2 callersMethod__init__

src/losses.py:8

↓ 2 callersMethod__init__

( self, mid_module: Module, in_channel: int, mid_channel:

src/modules.py:47

↓ 2 callersMethod_sample

(raw, zero_rate)

src/data_tools.py:161

↓ 2 callersFunctionmin_max_norm

src/utils.py:36

↓ 2 callersMethodordinal_label

(self, sampled_a, sampled_b)

test_utils.py:110

↓ 2 callersMethodtrain

src/src_main.py:123

↓ 1 callersMethod__gethole__

src/data_tools.py:252

↓ 1 callersMethod__getrgbd__

src/data_tools.py:239

↓ 1 callersMethod__gradient_loss__

(self, residual: Tensor)

src/losses.py:54

↓ 1 callersMethod__init__

test_utils.py:25

↓ 1 callersMethod__init__

src/data_tools.py:73

↓ 1 callersMethod__min_max_norm__

test_utils.py:51

↓ 1 callersMethod_holes

(self, raw, hole_ls, p=0.8)

src/data_tools.py:132

↓ 1 callersMethod_noiseblur

(self, raw, hole_gt, p_noise=0.5, p_blur=0.5)

src/data_tools.py:173

↓ 1 callersMethodabsRel

(depth, ground_truth)

test_utils.py:74

↓ 1 callersMethodadjust_domain

test_utils.py:57

↓ 1 callersMethodcleanup

src/utils.py:81

↓ 1 callersFunctiondemo_metric

↓ 1 callersFunctiondemo_save

↓ 1 callersFunctiondepth_read

test_utils.py:15

↓ 1 callersFunctiondepth_read

(filename: Path)

src/data_tools.py:22

↓ 1 callersMethoderror

(self, pred, gt)

test_utils.py:144

↓ 1 callersMethodfeedback_module

(self, elapsed, iter_step, loss, summary, global_step)

src/src_main.py:101

↓ 1 callersFunctionget_dataloader

(rgbd_dirs, hole_dirs, batch_size, sizes, rank, num_workers)

src/data_tools.py:279

↓ 1 callersFunctionhole_read

(filename: Path)

src/data_tools.py:31

↓ 1 callersMethodoe

(depth, ground_truth)

test_utils.py:98

↓ 1 callersMethodoptimize_one_iteration

(self, rgb, gt, raw)

src/src_main.py:75

↓ 1 callersFunctionparse_arguments

↓ 1 callersFunctionprint_model_parm_nums

src/utils.py:85

↓ 1 callersMethodread_data

(self, rgb_path, raw_path)

test_utils.py:40

↓ 1 callersMethodread_rgbraw

(rgb_path, raw_path)

test_utils.py:29

↓ 1 callersFunctionrgb_read

test_utils.py:7

↓ 1 callersFunctionrgb_read

(filename: Path)

src/data_tools.py:14

↓ 1 callersMethodrmse

(depth, ground_truth)

test_utils.py:67

↓ 1 callersMethodrun_demo

(demo_fn, world_size)

src/utils.py:75

↓ 1 callersMethodsampling

(self, pred, gt)

test_utils.py:117

↓ 1 callersMethodsave_imgs

(rgb, gt, raw, pred, log_dir, epoch, iter_step)

src/src_main.py:110

↓ 1 callersMethodsetup

(rank, world_size, port)

src/utils.py:62

↓ 1 callersMethodsrmse

(depth, ground_truth)

test_utils.py:81

↓ 1 callersMethodtrans_raw

(self, gt, hole_gt, hole_ls)

src/data_tools.py:139

↓ 1 callersMethodtrans_rgbgt

(self, rgb: Tensor, gt: Tensor)

src/data_tools.py:122

FunctionDDP_main

(rank, world_size)

Method__getitem__

src/data_tools.py:264

(self, gpus_num)

test_utils.py:105

(self, cf, rank)

src/src_main.py:21

src/utils.py:12

( self, in_channels: int, out_channels: int, rezero: bool,

src/custom_blocks.py:7

src/losses.py:24

( self, k: int = 4, sobel: bool = True, )

src/losses.py:40

( self, in_channels: int, out_channels: int, rezero: bool,

src/modules.py:8

( self, in_channel: int, out_channel: int, rezero: bool,

src/modules.py:28

(self, layer_num: int = 7, rezero: bool = True)

src/networks.py:10

src/data_tools.py:94

(self, rgbd_dir, hole_dir, size)

src/data_tools.py:204

src/data_tools.py:258

Method__masked_mean_robust_standardization__

(depth, mask, eps=1e-6)

src/utils.py:17

(self, depth, gt, mask_hole)

src/utils.py:28

(self, x: Tensor)

src/custom_blocks.py:44

(self, x: Tensor)

src/losses.py:17

(self, output: Tensor, target: Tensor, hole: Tensor)

src/losses.py:31

(self, output: Tensor, target: Tensor, hole_target: Tensor)

src/losses.py:66

(self, x: Tensor)

src/modules.py:22

(self, x: Tensor)

src/modules.py:41

(self, x: Tensor)

src/modules.py:63

( self, rgb: Tensor, point: Tensor, hole_point: Tensor,

src/networks.py:31

Args: img (PIL Image or Tensor): Image to be cropped and resized. Returns: PIL Image or Tensor: Randoml

src/data_tools.py:40

Args: depth (Tensor): depth map to be scaled and shifted. Returns: Tensor: scaled and shifted depth.

src/data_tools.py:77