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Functions1,651 in github.com/ladaapp/lada

⨍ Functions 1,651◇ Types & classes 278↳ Endpoints 3
Method__init__
Setup to load the model and configurations
lada/models/dover/evaluate.py:22
Method__init__
(self, opt)
lada/models/dover/datasets/dover_datasets.py:328
Method__init__
(self, in_channels=768, out_channels=400, dropout_ratio=0.5, **kwargs)
lada/models/dover/models/head.py:60
Method__init__
( self, in_channels=768, hidden_channels=64, dropout_ratio=0.5, **kwargs )
lada/models/dover/models/head.py:87
Method__init__
(self, dim, drop_path=0., layer_scale_init_value=1e-6)
lada/models/dover/models/conv_backbone.py:35
Method__init__
(self, in_chans=3, num_classes=1000, depths=[3, 3, 9, 3], dims=[96, 192, 384, 768], drop_pat
lada/models/dover/models/conv_backbone.py:74
Method__init__
(self, normalized_shape, eps=1e-6, data_format="channels_last")
lada/models/dover/models/conv_backbone.py:133
Method__init__
(self, dim, drop_path=0., inflate_len=3, layer_scale_init_value=1e-6)
lada/models/dover/models/conv_backbone.py:168
Method__init__
(self, dim, drop_path=0.)
lada/models/dover/models/conv_backbone.py:201
Method__init__
(self, dim, drop_path=0., inflate_len=3,)
lada/models/dover/models/conv_backbone.py:232
Method__init__
(self, in_chans=3, num_classes=1000, depths=[3, 3, 9, 3], dims=[96, 192, 384, 768],
lada/models/dover/models/conv_backbone.py:267
Method__init__
(self, in_chans=3, num_classes=1000, inflate_strategy='131', depths=[3, 3, 9
lada/models/dover/models/conv_backbone.py:364
Method__init__
(self, in_chans=3, num_classes=1000, inflate_strategy='131', depths=[3, 3,
lada/models/dover/models/conv_backbone.py:451
Method__init__
( self, dim, window_size, num_heads, qkv_bias=False, qk_scale=
lada/models/dover/models/backbone_v0_1.py:127
Method__init__
( self, dim, num_heads, window_size=(2, 7, 7), shift_size=(0, 0, 0),
lada/models/dover/models/backbone_v0_1.py:251
Method__init__
(self, dim, norm_layer=nn.LayerNorm)
lada/models/dover/models/backbone_v0_1.py:391
Method__init__
( self, dim, depth, num_heads, window_size=(1, 7, 7), mlp_rati
lada/models/dover/models/backbone_v0_1.py:471
Method__init__
(self, patch_size=(2, 4, 4), in_chans=3, embed_dim=96, norm_layer=None)
lada/models/dover/models/backbone_v0_1.py:558
Method__init__
( self, pretrained=None, pretrained2d=False, patch_size=(2, 4, 4), in_
lada/models/dover/models/backbone_v0_1.py:618
Method__init__
( self, dim, window_size, num_heads, qkv_bias=False, qk_scale=
lada/models/dover/models/backbone_get_attention.py:166
Method__init__
( self, dim, num_heads, window_size=(2, 7, 7), shift_size=(0, 0, 0),
lada/models/dover/models/backbone_get_attention.py:334
Method__init__
(self, dim, norm_layer=nn.LayerNorm)
lada/models/dover/models/backbone_get_attention.py:497
Method__init__
( self, dim, depth, num_heads, window_size=(1, 7, 7), mlp_rati
lada/models/dover/models/backbone_get_attention.py:577
Method__init__
(self, patch_size=(2, 4, 4), in_chans=3, embed_dim=96, norm_layer=None)
lada/models/dover/models/backbone_get_attention.py:669
Method__init__
( self, pretrained=None, pretrained2d=False, patch_size=(2, 4, 4), in_
lada/models/dover/models/backbone_get_attention.py:729
Method__init__
(self, drop_prob=None)
lada/models/dover/models/xclip_backbone.py:43
Method__init__
( self, d_model: int, n_head: int, attn_mask: torch.Tensor = None, )
lada/models/dover/models/xclip_backbone.py:67
Method__init__
( self, width: int, layers: int, heads: int, attn_mask: torch.Tensor = None )
lada/models/dover/models/xclip_backbone.py:102
Method__init__
( self, input_resolution: int, patch_size: int, width: int, layers: in
lada/models/dover/models/xclip_backbone.py:117
Method__init__
( self, d_model: int, n_head: int, attn_mask: torch.Tensor = None, dro
lada/models/dover/models/xclip_backbone.py:290
Method__init__
( self, input_resolution: int, patch_size: int, width: int, layers: in
lada/models/dover/models/xclip_backbone.py:390
Method__init__
( self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_
lada/models/dover/models/xclip_backbone.py:471
Method__init__
( self, d_model, nhead, dropout=0.0, )
lada/models/dover/models/xclip_backbone.py:524
Method__init__
( self, layers=2, embed_dim=512, alpha=0.1, )
lada/models/dover/models/xclip_backbone.py:550
Method__init__
( self, T, embed_dim=512, layers=1, )
lada/models/dover/models/xclip_backbone.py:615
Method__init__
( self, embed_dim: int, # vision image_resolution: int, vision_layers:
lada/models/dover/models/xclip_backbone.py:653
Method__init__
( self, backbone=dict(), vqa_head=dict(), )
lada/models/dover/models/evaluator.py:19
Method__init__
(self)
lada/models/dover/models/evaluator.py:237
Method__init__
( self, backbone=dict(), iqa_head=dict(), )
lada/models/dover/models/evaluator.py:258
Method__init__
( self, dim, window_size, num_heads, qkv_bias=False, qk_scale=
lada/models/dover/models/swin_backbone.py:178
Method__init__
( self, dim, num_heads, window_size=(2, 7, 7), shift_size=(0, 0, 0),
lada/models/dover/models/swin_backbone.py:351
Method__init__
(self, dim, norm_layer=nn.LayerNorm)
lada/models/dover/models/swin_backbone.py:529
Method__init__
( self, dim, depth, num_heads, window_size=(1, 7, 7), mlp_rati
lada/models/dover/models/swin_backbone.py:609
Method__init__
(self, patch_size=(2, 4, 4), in_chans=3, embed_dim=96, norm_layer=None)
lada/models/dover/models/swin_backbone.py:702
Method__init__
( self, pretrained=None, pretrained2d=False, patch_size=(2, 4, 4), in_
lada/models/dover/models/swin_backbone.py:762
Method__init__
(self)
lada/models/dover/models/swin_backbone.py:1097
Method__init__
(self, opt)
lada/models/deepmosaics/mosaic_video_dataset.py:17
Method__init__
(self, in_channel, out_channel, kernel_size=3, padding=1)
lada/models/deepmosaics/models/BVDNet.py:11
Method__init__
(self, input_nc, ngf=64, n_downsampling=3, activation = nn.LeakyReLU(0.2))
lada/models/deepmosaics/models/BVDNet.py:28
Method__init__
(self, input_nc, ngf=64, n_downsampling=3, activation = nn.LeakyReLU(0.2))
lada/models/deepmosaics/models/BVDNet.py:45
Method__init__
(self, input_nc, ndf=64, n_layers=3, use_sigmoid=False, num_D=3)
lada/models/deepmosaics/models/BVDNet.py:112
Method__init__
(self, input_nc, ndf=64, n_layers=3, use_sigmoid=False)
lada/models/deepmosaics/models/BVDNet.py:138
Method__init__
(self, mode='D')
lada/models/deepmosaics/models/BVDNet.py:176
Method__init__
(self, dim, padding_type, activation=nn.LeakyReLU(0.2), use_dropout=False)
lada/models/deepmosaics/models/model_util.py:94
Method__init__
(self, inplanes, planes, stride=1, downsample=None, norm_layer=None)
lada/models/deepmosaics/models/model_util.py:156
Method__init__
(self, inplanes, planes, stride=1, downsample=None, norm_layer=None)
lada/models/deepmosaics/models/model_util.py:189
Method__init__
(self, block, layers, num_classes=1000, zero_init_residual=False, norm_layer=None)
lada/models/deepmosaics/models/model_util.py:228
Method__init__
(self)
lada/models/deepmosaics/models/model_util.py:321
Method__init__
(self)
lada/models/deepmosaics/models/model_util.py:330
Method__init__
(self, gpu_id)
lada/models/deepmosaics/models/model_util.py:338
Method__init__
(self, requires_grad=False)
lada/models/deepmosaics/models/model_util.py:359
Method__init__
(self, in_shape=None, backend='auto', override_execution_provider=None)
lada/models/centerface/centerface.py:16
Method__iter__
(self)
lada/datasetcreation/nsfw_scene_detector.py:127
Method__iter__
(self)
lada/datasetcreation/nsfw_scene_detector.py:189
Method__iter__
(self)
lada/restorationpipeline/mosaic_detector.py:68
Method__iter__
(self)
lada/restorationpipeline/mosaic_detector.py:150
Method__iter__
(self)
lada/restorationpipeline/frame_restorer.py:345
Method__iter__
(self)
lada/models/basicvsrpp/mmagic/sampler.py:55
Method__iter__
(self)
lada/models/basicvsrpp/mmagic/sampler.py:84
Method__iter__
(self)
lada/models/basicvsrpp/mmagic/sampler.py:117
Method__iter__
(self)
lada/models/basicvsrpp/mmagic/sampler.py:153
Method__iter__
(self)
lada/models/basicvsrpp/mmagic/base_gen_metric.py:290
Method__len__
(self)
lada/datasetcreation/nsfw_scene_detector.py:76
Method__len__
(self)
lada/datasetcreation/nsfw_scene_detector.py:162
Method__len__
(self)
lada/restorationpipeline/mosaic_detector.py:36
Method__len__
(self)
lada/restorationpipeline/mosaic_detector.py:147
Method__len__
(self)
lada/models/basicvsrpp/mosaic_video_dataset.py:163
Method__len__
Get the length of the data sample.
lada/models/basicvsrpp/mmagic/data_sample.py:367
Method__len__
(self)
lada/models/basicvsrpp/mmagic/base_gen_metric.py:294
Method__len__
(self)
lada/models/bpjdet/models/common.py:397
Method__len__
(self)
lada/models/dover/datasets/dover_datasets.py:433
Method__len__
(self)
lada/models/deepmosaics/mosaic_video_dataset.py:82
Method__next__
(self)
lada/datasetcreation/nsfw_scene_detector.py:130
Method__next__
(self)
lada/datasetcreation/nsfw_scene_detector.py:192
Method__next__
(self)
lada/restorationpipeline/mosaic_detector.py:71
Method__next__
(self)
lada/restorationpipeline/mosaic_detector.py:153
Method__next__
(self)
lada/restorationpipeline/frame_restorer.py:348
Method__next__
(self)
lada/models/basicvsrpp/mmagic/sampler.py:59
Method__next__
(self)
lada/models/basicvsrpp/mmagic/sampler.py:88
Method__next__
(self)
lada/models/basicvsrpp/mmagic/sampler.py:121
Method__next__
(self)
lada/models/basicvsrpp/mmagic/sampler.py:157
Method__next__
(self)
lada/models/basicvsrpp/mmagic/base_gen_metric.py:308
Method__repr__
(self)
lada/gui/export/export_item_data.py:137
Method_after_iter
Show or Write the predicted results. Args: runner (Runner): The runner of the training process. batch_idx (int): The
lada/models/basicvsrpp/mmagic/visualization_hook.py:49
Method_after_iter
Calculating time for an iteration and updating "time" ``HistoryBuffer`` of ``runner.message_hub``. If `mode` is 'train', we take `runn
lada/models/basicvsrpp/mmagic/iter_time_hook.py:26
Function_apply_random_mask_extensions
(chunk_idx_start, chunk_idx_exclusive_end)
lada/datasetcreation/nsfw_scene_detector.py:309
Method_appsource_worker
(self)
lada/gui/watch/gstreamer_pipeline_appsrc.py:214
Method_blend_cpu
(blend_mask: torch.Tensor, clip_img: torch.Tensor, orig_clip_box: tuple[int, int, int, int])
lada/restorationpipeline/frame_restorer.py:194
Method_blend_gpu
(blend_mask: torch.Tensor, clip_img: torch.Tensor, orig_clip_box: tuple[int, int, int, int])
lada/restorationpipeline/frame_restorer.py:183
Method_clip_restoration_worker
(self)
lada/restorationpipeline/frame_restorer.py:246
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