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Functions1,788 in github.com/Picsart-AI-Research/Text2Video-Zero

Method__init__
(self, split, **kwargs)
annotator/uniformer/mmseg/datasets/voc.py:26
Method__init__
(self, **kwargs)
annotator/uniformer/mmseg/datasets/chase_db1.py:21
Method__init__
(self, **kwargs)
annotator/uniformer/mmseg/datasets/ade.py:79
Method__init__
(self, **kwargs)
annotator/uniformer/mmseg/datasets/stare.py:21
Method__init__
(self, **kwargs)
annotator/uniformer/mmseg/datasets/cityscapes.py:32
Method__init__
(self, transforms, img_scale, img_ratios=None,
annotator/uniformer/mmseg/datasets/pipelines/test_time_aug.py:53
Method__init__
(self, img_scale=None, multiscale_mode='range', ratio_range
annotator/uniformer/mmseg/datasets/pipelines/transforms.py:41
Method__init__
(self, prob=None, direction='horizontal')
annotator/uniformer/mmseg/datasets/pipelines/transforms.py:252
Method__init__
(self, size=None, size_divisor=None, pad_val=0,
annotator/uniformer/mmseg/datasets/pipelines/transforms.py:308
Method__init__
(self, mean, std, to_rgb=True)
annotator/uniformer/mmseg/datasets/pipelines/transforms.py:376
Method__init__
(self, min_value=0, max_value=255)
annotator/uniformer/mmseg/datasets/pipelines/transforms.py:416
Method__init__
(self, clip_limit=40.0, tile_grid_size=(8, 8))
annotator/uniformer/mmseg/datasets/pipelines/transforms.py:465
Method__init__
(self, crop_size, cat_max_ratio=1., ignore_index=255)
annotator/uniformer/mmseg/datasets/pipelines/transforms.py:506
Method__init__
(self, prob, degree, pad_val=0, seg_pad_va
annotator/uniformer/mmseg/datasets/pipelines/transforms.py:588
Method__init__
(self, out_channels=None, weights=(0.299, 0.587, 0.114))
annotator/uniformer/mmseg/datasets/pipelines/transforms.py:668
Method__init__
(self, gamma=1.0)
annotator/uniformer/mmseg/datasets/pipelines/transforms.py:716
Method__init__
(self, scale_factor=1)
annotator/uniformer/mmseg/datasets/pipelines/transforms.py:751
Method__init__
(self, brightness_delta=32, contrast_range=(0.5, 1.5), satu
annotator/uniformer/mmseg/datasets/pipelines/transforms.py:794
Method__init__
(self, to_float32=False, color_type='color', file_client_ar
annotator/uniformer/mmseg/datasets/pipelines/loading.py:31
Method__init__
(self, reduce_zero_label=False, file_client_args=dict(backend='disk'),
annotator/uniformer/mmseg/datasets/pipelines/loading.py:104
Method__init__
(self, transforms)
annotator/uniformer/mmseg/datasets/pipelines/compose.py:17
Method__init__
(self, keys)
annotator/uniformer/mmseg/datasets/pipelines/formating.py:44
Method__init__
(self, keys)
annotator/uniformer/mmseg/datasets/pipelines/formating.py:78
Method__init__
(self, keys, order)
annotator/uniformer/mmseg/datasets/pipelines/formating.py:113
Method__init__
(self, fields=(dict(key='img', stack=True), dict(key='gt_semant
annotator/uniformer/mmseg/datasets/pipelines/formating.py:150
Method__init__
(self, keys, meta_keys=('filename', 'ori_filename', 'ori_shape',
annotator/uniformer/mmseg/datasets/pipelines/formating.py:256
Method__init__
(self)
annotator/uniformer/mmseg/models/segmentors/base.py:19
Method__init__
(self, backbone, decode_head, neck=None, a
annotator/uniformer/mmseg/models/segmentors/encoder_decoder.py:21
Method__init__
(self, num_stages, backbone, decode_head,
annotator/uniformer/mmseg/models/segmentors/cascade_encoder_decoder.py:19
Method__init__
(self, in_channels, out_channels, num_outs,
annotator/uniformer/mmseg/models/necks/fpn.py:63
Method__init__
(self, in_channels, out_channels, scales=[0.5, 1, 2, 4],
annotator/uniformer/mmseg/models/necks/multilevel_neck.py:22
Method__init__
(self, radix, groups)
annotator/uniformer/mmseg/models/backbones/resnest.py:23
Method__init__
(self, in_channels, channels, kernel_size,
annotator/uniformer/mmseg/models/backbones/resnest.py:58
Method__init__
Bottleneck block for ResNeSt.
annotator/uniformer/mmseg/models/backbones/resnest.py:165
Method__init__
(self, in_channels, out_channels, num_convs=2,
annotator/uniformer/mmseg/models/backbones/unet.py:43
Method__init__
(self, in_channels, out_channels, with_cp=False,
annotator/uniformer/mmseg/models/backbones/unet.py:105
Method__init__
(self, in_channels, out_channels, with_cp=False,
annotator/uniformer/mmseg/models/backbones/unet.py:179
Method__init__
(self, channel, reduction=16, with_cp=False)
annotator/uniformer/mmseg/models/backbones/cgnet.py:26
Method__init__
(self, in_channels, out_channels, dilation=2,
annotator/uniformer/mmseg/models/backbones/cgnet.py:78
Method__init__
(self, num_downsampling)
annotator/uniformer/mmseg/models/backbones/cgnet.py:173
Method__init__
(self, dim, num_heads=8, qkv_bias=False, q
annotator/uniformer/mmseg/models/backbones/vit.py:72
Method__init__
(self, dim, num_heads, mlp_ratio=4, qkv_bi
annotator/uniformer/mmseg/models/backbones/vit.py:128
Method__init__
(self, img_size=224, patch_size=16, in_channels=3,
annotator/uniformer/mmseg/models/backbones/vit.py:183
Method__init__
(self, img_size=(224, 224), patch_size=16, in_channels=3,
annotator/uniformer/mmseg/models/backbones/vit.py:246
Method__init__
(self, arch='small', conv_cfg=None, norm_cfg=dict(type='BN'
annotator/uniformer/mmseg/models/backbones/mobilenet_v3.py:70
Method__init__
(self, inplanes, planes, groups=1, base_wi
annotator/uniformer/mmseg/models/backbones/resnext.py:18
Method__init__
(self, in_features, hidden_features=None, out_features=None, act_layer=nn.GELU, drop=0.)
annotator/uniformer/mmseg/models/backbones/uniformer.py:44
Method__init__
(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0., dr
annotator/uniformer/mmseg/models/backbones/uniformer.py:63
Method__init__
(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0.)
annotator/uniformer/mmseg/models/backbones/uniformer.py:85
Method__init__
(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0., dr
annotator/uniformer/mmseg/models/backbones/uniformer.py:113
Method__init__
(self, dim, num_heads, window_size=14, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0.,
annotator/uniformer/mmseg/models/backbones/uniformer.py:169
Method__init__
(self, img_size=224, patch_size=16, in_chans=3, embed_dim=768)
annotator/uniformer/mmseg/models/backbones/uniformer.py:221
Method__init__
Args: layer (list): number of block in each layer img_size (int, tuple): input image size in_chans (int):
annotator/uniformer/mmseg/models/backbones/uniformer.py:248
Method__init__
(self, num_branches, blocks, num_blocks, i
annotator/uniformer/mmseg/models/backbones/hrnet.py:20
Method__init__
(self, in_channels, dw_channels, out_channels,
annotator/uniformer/mmseg/models/backbones/fast_scnn.py:29
Method__init__
(self, in_channels=64, block_channels=(64, 96, 128), out_ch
annotator/uniformer/mmseg/models/backbones/fast_scnn.py:106
Method__init__
(self, higher_in_channels, lower_in_channels, out_channels,
annotator/uniformer/mmseg/models/backbones/fast_scnn.py:199
Method__init__
(self, widen_factor=1., strides=(1, 2, 2, 2, 1, 2, 1), dila
annotator/uniformer/mmseg/models/backbones/mobilenet_v2.py:45
Method__init__
(self, inplanes, planes, stride=1, dilatio
annotator/uniformer/mmseg/models/backbones/resnet.py:18
Method__init__
(self, inplanes, planes, stride=1, dilatio
annotator/uniformer/mmseg/models/backbones/resnet.py:106
Method__init__
(self, **kwargs)
annotator/uniformer/mmseg/models/backbones/resnet.py:672
Method__init__
(self, **kwargs)
annotator/uniformer/mmseg/models/backbones/resnet.py:686
Method__init__
(self, drop_prob=0.)
annotator/uniformer/mmseg/models/utils/drop.py:17
Method__init__
(self, key_in_channels, query_in_channels, channels, out_channels, share_key_query, query_dow
annotator/uniformer/mmseg/models/utils/self_attention_block.py:32
Method__init__
(self, channels, ratio=16, conv_cfg=None,
annotator/uniformer/mmseg/models/utils/se_layer.py:26
Method__init__
(self, conv_block, in_channels, skip_channels,
annotator/uniformer/mmseg/models/utils/up_conv_block.py:44
Method__init__
(self, block, inplanes, planes, num_blocks
annotator/uniformer/mmseg/models/utils/res_layer.py:26
Method__init__
(self, in_channels, out_channels, mid_channels,
annotator/uniformer/mmseg/models/utils/inverted_residual.py:124
Method__init__
(self, in_channels, channels, *, num_class
annotator/uniformer/mmseg/models/decode_heads/decode_head.py:46
Method__init__
(self, **kwargs)
annotator/uniformer/mmseg/models/decode_heads/sep_aspp_head.py:14
Method__init__
(self, pool_scales=(1, 2, 3, 6), **kwargs)
annotator/uniformer/mmseg/models/decode_heads/uper_head.py:23
Method__init__
(self, ratio=1 / 4., pooling_type='att', fusion_types=('cha
annotator/uniformer/mmseg/models/decode_heads/gc_head.py:23
Method__init__
(self, **kwargs)
annotator/uniformer/mmseg/models/decode_heads/sep_fcn_head.py:29
Method__init__
(self, feature_strides, **kwargs)
annotator/uniformer/mmseg/models/decode_heads/fpn_head.py:23
Method__init__
(self, dilations, in_channels, channels, conv_cfg, norm_cfg, act_cfg)
annotator/uniformer/mmseg/models/decode_heads/aspp_head.py:22
Method__init__
(self, recurrence=2, **kwargs)
annotator/uniformer/mmseg/models/decode_heads/cc_head.py:24
Method__init__
(self, *arg, temperature, **kwargs)
annotator/uniformer/mmseg/models/decode_heads/dnl_head.py:16
Method__init__
(self, pool_scales=(1, 2, 3, 6), **kwargs)
annotator/uniformer/mmseg/models/decode_heads/psp_head.py:72
Method__init__
(self, num_fcs=3, coarse_pred_each_layer=True, conv_cfg=dic
annotator/uniformer/mmseg/models/decode_heads/point_head.py:60
Method__init__
(self, in_channels, num_codes, conv_cfg, norm_cfg, act_cfg)
annotator/uniformer/mmseg/models/decode_heads/enc_head.py:22
Method__init__
(self, scale)
annotator/uniformer/mmseg/models/decode_heads/ocr_head.py:19
Method__init__
(self, in_channels, channels, scale, conv_cfg, norm_cfg, act_cfg)
annotator/uniformer/mmseg/models/decode_heads/ocr_head.py:42
Method__init__
(self, num_convs=2, kernel_size=3, concat_input=True,
annotator/uniformer/mmseg/models/decode_heads/fcn_head.py:23
Method__init__
(self, *args, **kwargs)
annotator/uniformer/mmseg/models/decode_heads/cascade_decode_head.py:10
Method__init__
(self, pool_scales=(1, 3, 6, 8))
annotator/uniformer/mmseg/models/decode_heads/ann_head.py:18
Method__init__
(self, low_in_channels, high_in_channels, channels, out_channels, share_key_query, query_scal
annotator/uniformer/mmseg/models/decode_heads/ann_head.py:52
Method__init__
(self, in_channels, channels, out_channels, query_scales, key_pool_scales, conv_cfg, norm_cfg
annotator/uniformer/mmseg/models/decode_heads/ann_head.py:150
Method__init__
(self, project_channels, query_scales=(1, ), key_pool_scale
annotator/uniformer/mmseg/models/decode_heads/ann_head.py:198
Method__init__
(self, branch_channels=(32, 64), **kwargs)
annotator/uniformer/mmseg/models/decode_heads/lraspp_head.py:23
Method__init__
(self, filter_sizes=(1, 3, 5, 7), fusion=False, **kwargs)
annotator/uniformer/mmseg/models/decode_heads/dm_head.py:106
Method__init__
(self, mask_size, psa_type='bi-direction', compact=False,
annotator/uniformer/mmseg/models/decode_heads/psa_head.py:35
Method__init__
(self, channels, num_bases, num_stages, momentum)
annotator/uniformer/mmseg/models/decode_heads/ema_head.py:31
Method__init__
(self, reduction=2, use_scale=True, mode='embedded_gaussian
annotator/uniformer/mmseg/models/decode_heads/nl_head.py:23
Method__init__
(self, pool_scales=(1, 2, 3, 6), fusion=True, **kwargs)
annotator/uniformer/mmseg/models/decode_heads/apc_head.py:124
Method__init__
(self)
annotator/uniformer/mmseg/models/decode_heads/da_head.py:52
Method__init__
(self, pam_channels, **kwargs)
annotator/uniformer/mmseg/models/decode_heads/da_head.py:85
Method__init__
(self, smooth=1, exponent=2, reduction='mean',
annotator/uniformer/mmseg/models/losses/dice_loss.py:72
Method__init__
(self, loss_type='multi_class', classes='present', per_imag
annotator/uniformer/mmseg/models/losses/lovasz_loss.py:248
Method__init__
Module to calculate the accuracy. Args: topk (tuple, optional): The criterion used to calculate the accuracy. Def
annotator/uniformer/mmseg/models/losses/accuracy.py:55
Method__init__
(self, use_sigmoid=False, use_mask=False, reduction='mean',
annotator/uniformer/mmseg/models/losses/cross_entropy_loss.py:154
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