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Functions359 in github.com/Junda24/MonSter

⨍ Functions 359◇ Types & classes 92

↓ 1 callersMethodforward

(self, x: Tensor)

Depth-Anything-V2-list3/depth_anything_v2/dinov2_layers/block.py:82

↓ 1 callersMethodforward

(self, x: Tensor)

Depth-Anything-V2-list3/depth_anything_v2/dinov2_layers/attention.py:49

↓ 1 callersMethodforward_features

(self, x, masks=None)

Depth-Anything-V2-list3/depth_anything_v2/dinov2.py:253

↓ 1 callersMethodforward_features_list

(self, x_list, masks_list)

Depth-Anything-V2-list3/depth_anything_v2/dinov2.py:233

↓ 1 callersMethodforward_nested

x_list contains a list of tensors to nest together and run

Depth-Anything-V2-list3/depth_anything_v2/dinov2_layers/block.py:205

↓ 1 callersFunctionget_branges_scales

(x, sample_drop_ratio=0.0)

Depth-Anything-V2-list3/depth_anything_v2/dinov2_layers/block.py:134

↓ 1 callersFunctionget_motion_blur_kernel

(blur_limit, allow_shifted)

core/dataset/transform.py:202

↓ 1 callersFunctionget_num_channels

(image: np.ndarray)

core/dataset/transform.py:169

↓ 1 callersMethodget_size

(self, width, height)

Depth-Anything-V2-list3/depth_anything_v2/util/transform.py:62

↓ 1 callersFunctiongray_2_colormap_np

(img, cmap='rainbow', max=None)

core/stereo_datasets.py:490

↓ 1 callersMethodimage2tensor

(self, raw_image, input_size=518)

Depth-Anything-V2-list3/depth_anything_v2/dpt.py:368

↓ 1 callersMethodimage2tensor

(self, raw_image, input_size=518)

Depth-Anything-V2-list3/depth_anything_v2/dpt.py:453

↓ 1 callersMethodinfer_mono

(self, image1, image2)

core/monster.py:317

↓ 1 callersMethodinit_weights

Depth-Anything-V2-list3/depth_anything_v2/dinov2.py:172

↓ 1 callersMethodinterpolate_pos_encoding

(self, x, w, h)

Depth-Anything-V2-list3/depth_anything_v2/dinov2.py:179

↓ 1 callersFunctionis_grayscale_image

(image: np.ndarray)

core/dataset/transform.py:90

↓ 1 callersFunctionmain

train_eth3d.py:109

↓ 1 callersFunctionmain

train_kitti.py:93

↓ 1 callersFunctionmain

train_middlebury.py:108

↓ 1 callersFunctionmain

train_sceneflow.py:95

↓ 1 callersFunctionmeshgrid

Generate meshgrid in image scale Args: img: [B, _, H, W] homogeneous: whether to return homogeneous coordinates Return:

core/warp.py:18

↓ 1 callersFunctionnamed_apply

(fn: Callable, module: nn.Module, name="", depth_first=True, include_root=False)

Depth-Anything-V2-list3/depth_anything_v2/dinov2.py:26

↓ 1 callersFunctionnormalize_coords

Normalize coordinates of image scale to [-1, 1] Args: grid: [B, 2, H, W]

↓ 1 callersFunctionpklload

core/utils/file_io.py:24

↓ 1 callersFunctionpklload

core/dataset/mix_dataset.py:431

↓ 1 callersFunctionreadFlow

Read .flo file in Middlebury format

core/utils/frame_utils.py:13

↓ 1 callersMethodread_pfm

Read a pfm file

core/dataset/mix_dataset.py:154

↓ 1 callersMethodresize_sparse_flow_map

(self, flow, valid, fx=1.0, fy=1.0)

core/utils/augmentor.py:224

↓ 1 callersFunctionsequence_loss

Loss function defined over sequence of flow predictions

train_eth3d.py:57

↓ 1 callersFunctionsequence_loss

Loss function defined over sequence of flow predictions

train_kitti.py:41

↓ 1 callersFunctionsequence_loss

Loss function defined over sequence of flow predictions

train_middlebury.py:56

↓ 1 callersFunctionsequence_loss

Loss function defined over sequence of flow predictions

train_sceneflow.py:43

↓ 1 callersMethodshift

(self, rightImg, rng, sigma)

core/dataset/augmentor_mix_dataset.py:254

↓ 1 callersMethodspatial_transform

(self, img1, img2, flow)

core/utils/augmentor.py:113

↓ 1 callersMethodspatial_transform

(self, img1, img2, flow, valid)

core/utils/augmentor.py:258

↓ 1 callersFunctionvalidate_driving

Peform validation using the DrivingStereo (test) split

evaluate_stereo.py:276

↓ 1 callersFunctionvalidate_eth3d

Peform validation using the ETH3D (train) split

evaluate_stereo.py:51

↓ 1 callersFunctionvalidate_kitti

Peform validation using the KITTI-2015 (train) split

evaluate_stereo.py:99

↓ 1 callersFunctionvalidate_middlebury

Peform validation using the Middlebury-V3 dataset

evaluate_stereo.py:339

↓ 1 callersFunctionvalidate_sceneflow

Peform validation using the Scene Flow (TEST) split

evaluate_stereo.py:215

↓ 1 callersFunctionvalidate_vkitti

Peform validation using the vkitti (train) split

evaluate_stereo.py:157

↓ 1 callersFunctionviz_disp

(disp, scale=1, COLORMAP=cv2.COLORMAP_JET)

core/stereo_datasets.py:509

Args: tensor (Tensor): Tensor image of size (C, H, W) to be normalized. Returns: Tensor: Normali

save_disp.py:30

Args: tensor (Tensor): Tensor image of size (C, H, W) to be normalized. Returns: Tensor: Normali

evaluate_stereo.py:25

Args: tensor (Tensor): Tensor image of size (C, H, W) to be normalized. Returns: Tensor: Normali

demo_video.py:56

(self, disp, coords)

core/geometry.py:34

core/utils/augmentor.py:52

(self, img1, img2, flow)

core/utils/augmentor.py:174

(self, img1, img2, flow, valid)

core/utils/augmentor.py:309

(self, dataset_name, left_img, right_img, left_disp, error=None, wire_mask=None)

core/dataset/augmentor_mix_dataset.py:72

(self, dataset_name, left_img, right_img, left_disp, error=None)

core/dataset/augmentor_mix_dataset.py:331

(self, dataset_name, left_img, right_img, left_disp, error=None, wire_mask=None)

core/dataset/pinhole_augmentor_mix_dataset.py:77

Depth-Anything-V2-list3/depth_anything_v2/util/transform.py:109

Depth-Anything-V2-list3/depth_anything_v2/util/transform.py:133

Depth-Anything-V2-list3/depth_anything_v2/util/transform.py:146

Method__enter__

core/monster.py:17

core/monster.py:19

Method__getitem__

core/stereo_datasets.py:45

Method__getitem__

core/dataset/mix_dataset.py:283

(self, mean, std)

save_disp.py:26

(self, mean, std)

evaluate_stereo.py:21

(self, mean, std)

demo_video.py:52

(self, in_planes, planes, norm_fn='group', stride=1)

core/extractor.py:11

(self, in_planes, planes, norm_fn='group', stride=1)

core/extractor.py:69

(self, output_dim=128, norm_fn='batch', dropout=0.0, downsample=3)

core/extractor.py:127

(self, output_dim=[128], norm_fn='batch', dropout=0.0, downsample=3)

core/extractor.py:201

core/extractor.py:308

(self, in_channels, out_channels, deconv=False, is_3d=False, bn=True, relu=True, **kwargs)

core/submodule.py:11

(self, in_channels, out_channels, deconv=False, is_3d=False, IN=True, relu=True, **kwargs)

core/submodule.py:82

(self, in_channels, out_channels, deconv=False, is_3d=False, concat=True, keep_concat=True, IN=True, relu=True

core/submodule.py:111

(self, cv_chan, feat_chan)

core/submodule.py:227

core/submodule.py:256

core/submodule.py:276

(self, init_fmap1, init_fmap2, geo_volume, num_levels=2, radius=4)

core/geometry.py:7

(self, aug_params=None, sparse=False, reader=None)

core/stereo_datasets.py:23

(self, aug_params=None, root='/data2/cjd/StereoDatasets/sceneflow', dstype='frames_finalpass', things_test=Fal

core/stereo_datasets.py:129

(self, aug_params=None, root='datasets/SintelStereo')

core/stereo_datasets.py:202

(self, aug_params=None, root='/data2/cjd/data_wxq/fallingthings')

core/stereo_datasets.py:215

(self, aug_params=None, root='datasets', keywords=[])

core/stereo_datasets.py:234

(self, aug_params=None, root='/data2/cjd/StereoDatasets/kitti/2015', image_set='training')

core/stereo_datasets.py:252

(self, aug_params=None, root='/data/cjd/stereo_dataset/vkitti2/')

core/stereo_datasets.py:271

(self, aug_params=None, root='/data2/cjd/StereoDatasets/middlebury', split='2014', resolution='F')

core/stereo_datasets.py:286

(self, aug_params=None, root='/data2/cjd/StereoDatasets/crestereo')

core/stereo_datasets.py:333

(self, aug_params=None, root='/data2/cjd/data_wxq/instereo2k')

core/stereo_datasets.py:348

(self, aug_params=None, root='/data2/cjd/StereoDatasets/carla-highres')

core/stereo_datasets.py:363

(self, aug_params=None, root='/data2/cjd/StereoDatasets/drivingstereo/', image_set='rainy')

core/stereo_datasets.py:378

(self, in_channels, out_channels, deconv=False, is_3d=False, concat=True, bn=True, relu=True,

core/refinement.py:18

(self, in_channels, out_channels, deconv=False, is_3d=False, bn=True, relu=True, **kwargs)

core/refinement.py:57

(self, in_chan)

core/refinement.py:83

(self, in_channels)

core/refinement.py:97

(self, in_channels)

core/refinement.py:165

(self, in_channels)

core/refinement.py:224

core/refinement.py:366

(self, in_channels)

core/refinement.py:435

core/refinement.py:527

(self, enabled)

core/monster.py:15

(self, in_channels)

core/monster.py:65

(self, dim_list, output_dim)

core/monster.py:134

(self, dim_list)

core/monster.py:154

(self, input_dim=128, hidden_dim=256, output_dim=2)

core/update.py:7

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