Functions — github.com/LiBingyu01/StitchFusion

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Functions314 in github.com/LiBingyu01/StitchFusion

⨍ Functions 314◇ Types & classes 106

Method__call__

(self, img: Tensor, mask: Tensor)

semseg/augmentations.py:205

Method__call__

(self, img: Tensor, mask: Tensor)

semseg/augmentations.py:231

Method__call__

(self, img: Tensor, mask: Tensor)

semseg/augmentations.py:247

Method__call__

(self, img: Tensor, mask: Tensor)

semseg/augmentations.py:275

Method__call__

(self, img: Tensor, mask: Tensor)

semseg/augmentations.py:299

Method__call__

(self, sample: list)

semseg/augmentations_mm.py:13

Method__call__

(self, sample: list)

semseg/augmentations_mm.py:31

Method__call__

(self, sample: list)

semseg/augmentations_mm.py:50

Method__call__

(self, img: Tensor, mask: Tensor)

semseg/augmentations_mm.py:71

Method__call__

(self, sample: list)

semseg/augmentations_mm.py:80

Method__call__

(self, sample: list)

semseg/augmentations_mm.py:90

Method__call__

(self, sample: list)

semseg/augmentations_mm.py:101

Method__call__

(self, sample: list)

semseg/augmentations_mm.py:112

Method__call__

(self, img: Tensor, mask: Tensor)

semseg/augmentations_mm.py:124

Method__call__

(self, img: Tensor, mask: Tensor)

semseg/augmentations_mm.py:134

Method__call__

(self, image, label)

semseg/augmentations_mm.py:141

Method__call__

(self, image, label)

semseg/augmentations_mm.py:149

Method__call__

(self, img, label)

semseg/augmentations_mm.py:161

Method__call__

(self, sample: list)

semseg/augmentations_mm.py:182

Method__call__

(self, img: Tensor, mask: Tensor)

semseg/augmentations_mm.py:204

Method__call__

(self, img: Tensor, mask: Tensor)

semseg/augmentations_mm.py:218

Method__call__

(self, img: Tensor, mask: Tensor)

semseg/augmentations_mm.py:244

Method__call__

(self, img: Tensor, mask: Tensor)

semseg/augmentations_mm.py:260

Method__call__

(self, sample:list)

semseg/augmentations_mm.py:288

Method__call__

(self, sample: list)

semseg/augmentations_mm.py:323

Method__call__

(self, sample)

semseg/datasets/mcubes.py:165

Method__call__

(self, sample)

semseg/datasets/mcubes.py:191

Method__call__

(self, sample)

semseg/datasets/mcubes.py:236

Method__call__

(self, sample)

semseg/datasets/mcubes.py:271

Method__call__

(self, sample)

semseg/datasets/mcubes.py:298

Method__call__

(self, sample)

semseg/datasets/mcubes.py:395

Method__getitem__

(self, index: int)

semseg/datasets/nyu.py:43

Method__getitem__

(self, index: int)

semseg/datasets/mcubes.py:77

Method__getitem__

(self, index: int)

semseg/datasets/MFNet.py:39

Method__getitem__

(self, index: int)

semseg/datasets/fmb.py:59

Method__getitem__

(self, index: int)

semseg/datasets/urbanlf.py:41

Method__getitem__

(self, index: int)

semseg/datasets/pst.py:48

Method__getitem__

(self, index: int)

semseg/datasets/DELIVER.py:73

Method__getitem__

(self, index: int)

semseg/datasets/kitti360.py:52

Method__init__

(self, dim)

stitchfusion_with_tips_you_can_copy.py:21

Method__init__

(self, dim, kernel)

stitchfusion_with_tips_you_can_copy.py:33

Method__init__

(self, dim)

stitchfusion_with_tips_you_can_copy.py:48

Method__init__

(self, dim, xavier_init=False)

stitchfusion_with_tips_you_can_copy.py:63

Method__init__

(self, dim, head, sr_ratio)

stitchfusion_with_tips_you_can_copy.py:92

Method__init__

(self, c1=3, c2=32, patch_size=7, stride=4, padding=0)

stitchfusion_with_tips_you_can_copy.py:124

Method__init__

(self, channel, reduction=16)

stitchfusion_with_tips_you_can_copy.py:138

Method__init__

(self, c1, c2)

stitchfusion_with_tips_you_can_copy.py:162

Method__init__

(self, channels, num_modals)

stitchfusion_with_tips_you_can_copy.py:186

Method__init__

(self, channels, num_modals)

stitchfusion_with_tips_you_can_copy.py:223

Method__init__

(self, dim, num_heads=8, qkv_bias=False, attn_drop=0., drop_path=0., mlp_hidden_dim=None, norm_layer=nn.LayerN

stitchfusion_with_tips_you_can_copy.py:244

Method__init__

(self, dim, head, sr_ratio=1, dpr=0. , fan=False)

stitchfusion_with_tips_you_can_copy.py:289

Method__init__

(self, dim, head, sr_ratio=1, dpr=0., num_modalities=2, fan=False)

stitchfusion_with_tips_you_can_copy.py:335

Method__init__

(self, dim, head, sr_ratio=1, dpr=0., num_modalities=2, fan=False)

stitchfusion_with_tips_you_can_copy.py:399

Method__init__

(self, dim, head, sr_ratio=1, dpr=0. , fan=False)

stitchfusion_with_tips_you_can_copy.py:455

Method__init__

(self, model_name: str = 'B0', modals: list = ['rgb', 'depth', 'event', 'lidar'])

stitchfusion_with_tips_you_can_copy.py:483

Method__init__

(self, optimizer, warmup_iter=500, warmup_ratio=5e-4, warmup='exp', last_epoch=-1)

semseg/schedulers.py:22

Method__init__

(self, optimizer, power, max_iter, warmup_iter=500, warmup_ratio=5e-4, warmup='exp', last_epoch=-1)

semseg/schedulers.py:46

Method__init__

(self, optimizer, gamma, interval=1, warmup_iter=500, warmup_ratio=5e-4, warmup='exp', last_epoch=-1)

semseg/schedulers.py:60

Method__init__

(self, optimizer, max_iter, eta_ratio=0, warmup_iter=500, warmup_ratio=5e-4, warmup='exp', last_epoch=-1)

semseg/schedulers.py:71

Method__init__

(self, transforms: list)

semseg/augmentations.py:10

Method__init__

(self, mean: list = (0.485, 0.456, 0.406), std: list = (0.229, 0.224, 0.225))

semseg/augmentations.py:26

Method__init__

(self, brightness=0, contrast=0, saturation=0, hue=0)

semseg/augmentations.py:38

Method__init__

Args: gamma: Non-negative real number. gamma larger than 1 make the shadows darker, while gamma smaller than 1 make dark regions

semseg/augmentations.py:57

Method__init__

(self, sharpness_factor: float, p: float = 0.5)

semseg/augmentations.py:71

Method__init__

(self, p: float = 0.5)

semseg/augmentations.py:82

Method__init__

(self, kernel_size: int = 3, p: float = 0.5)

semseg/augmentations.py:92

Method__init__

(self, p: float = 0.5)

semseg/augmentations.py:103

Method__init__

(self, p: float = 0.5)

semseg/augmentations.py:113

Method__init__

(self, p: float = 0.5)

semseg/augmentations.py:123

Method__init__

(self, bits=2)

semseg/augmentations.py:138

Method__init__

(self, angle=0, translate=[0, 0], scale=1.0, shear=[0, 0], seg_fill=0)

semseg/augmentations.py:146

Method__init__

Rotate the image by a random angle between -angle and angle with probability p Args: p: probability angle: rotation a

semseg/augmentations.py:158

Method__init__

Crops the image at the center Args: output_size: height and width of the crop box. If int, this size is used for both directions.

semseg/augmentations.py:183

Method__init__

Randomly Crops the image. Args: output_size: height and width of the crop box. If int, this size is used for both directions.

semseg/augmentations.py:196

Method__init__

Pad the given image on all sides with the given "pad" value. Args: size: expected output image size (h, w) fill: Pixel

semseg/augmentations.py:222

Method__init__

Resize the input image to the given size. Args: size: Desired output size. If size is a sequence, the output size

semseg/augmentations.py:237

Method__init__

Resize the input image to the given size. Args: size: Desired output size. If size is a sequence, the output size

semseg/augmentations.py:266

Method__init__

Resize the input image to the given size.

semseg/augmentations.py:292

Method__init__

(self, num_classes: int, ignore_label: int, device)

semseg/metrics.py:7

Method__init__

(self, ignore_label: int = 255, weight: Tensor = None, aux_weights: list = [1, 0.4, 0.4])

semseg/losses.py:7

Method__init__

(self, ignore_label: int = 255, weight: Tensor = None, thresh: float = 0.7, aux_weights: list = [1, 1])

semseg/losses.py:23

Method__init__

(self, num_all_classes, config)

semseg/losses.py:96

Method__init__

(self, transforms: list)

semseg/augmentations_mm.py:10

Method__init__

(self, mean: list = (0.485, 0.456, 0.406), std: list = (0.229, 0.224, 0.225))

semseg/augmentations_mm.py:27

Method__init__

(self, p=0.5)

semseg/augmentations_mm.py:47

Method__init__

Args: gamma: Non-negative real number. gamma larger than 1 make the shadows darker, while gamma smaller than 1 make dark regions

semseg/augmentations_mm.py:62

Method__init__

(self, sharpness_factor: float, p: float = 0.5)

semseg/augmentations_mm.py:76

Method__init__

(self, p: float = 0.5)

semseg/augmentations_mm.py:87

Method__init__

(self, kernel_size: int = 3, p: float = 0.5)

semseg/augmentations_mm.py:97

Method__init__

(self, p: float = 0.5)

semseg/augmentations_mm.py:109

Method__init__

(self, p: float = 0.5)

semseg/augmentations_mm.py:121

Method__init__

(self, p: float = 0.5)

semseg/augmentations_mm.py:131

Method__init__

(self, bits=2)

semseg/augmentations_mm.py:146

Method__init__

(self, angle=0, translate=[0, 0], scale=1.0, shear=[0, 0], seg_fill=0)

semseg/augmentations_mm.py:154

Method__init__

Rotate the image by a random angle between -angle and angle with probability p Args: p: probability angle: rotation a

semseg/augmentations_mm.py:166

Method__init__

Crops the image at the center Args: output_size: height and width of the crop box. If int, this size is used for both directions.

semseg/augmentations_mm.py:196

Method__init__

Randomly Crops the image. Args: output_size: height and width of the crop box. If int, this size is used for both directions.

semseg/augmentations_mm.py:209

Method__init__

Pad the given image on all sides with the given "pad" value. Args: size: expected output image size (h, w) fill: Pixel

semseg/augmentations_mm.py:235

Method__init__

Resize the input image to the given size. Args: size: Desired output size. If size is a sequence, the output size

semseg/augmentations_mm.py:250

Method__init__

Resize the input image to the given size. Args: size: Desired output size. If size is a sequence, the output size

semseg/augmentations_mm.py:279

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