Functions — github.com/brycedrennan/imaginAIry

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Functions2,992 in github.com/brycedrennan/imaginAIry

⨍ Functions 2,992◇ Types & classes 731↳ Endpoints 37

Method__init__

( self, optimizer, inv_gamma=1.0, power=1.0, warmup=0.0, min_l

imaginairy/vendored/k_diffusion/utils.py:178

Method__init__

( self, optimizer, num_steps, decay=0.5, warmup=0.0, min_lr=0.

imaginairy/vendored/k_diffusion/utils.py:230

Method__init__

(self, root, transform=None)

imaginairy/vendored/k_diffusion/utils.py:344

Method__init__

(self, filename, columns)

imaginairy/vendored/k_diffusion/utils.py:369

Method__init__

(self, ddp_module)

imaginairy/vendored/k_diffusion/gns.py:5

Method__init__

(self, beta=0.9998, eps=1e-8)

imaginairy/vendored/k_diffusion/gns.py:55

Method__init__

(self, sigmas, quantize)

imaginairy/vendored/k_diffusion/external.py:54

Method__init__

(self, model, alphas_cumprod, quantize)

imaginairy/vendored/k_diffusion/external.py:105

Method__init__

( self, model, diffusion, quantize=False, has_learned_sigmas=True, device="cpu" )

imaginairy/vendored/k_diffusion/external.py:137

Method__init__

(self, model, quantize=False, device="cpu")

imaginairy/vendored/k_diffusion/external.py:156

Method__init__

(self, model, alphas_cumprod, quantize)

imaginairy/vendored/k_diffusion/external.py:166

Method__init__

(self, model, quantize=False, device="cpu")

imaginairy/vendored/k_diffusion/external.py:202

Method__init__

(self, x, t0, t1, seed=None, **kwargs)

imaginairy/vendored/k_diffusion/sampling.py:75

Method__init__

(self, x, sigma_min, sigma_max, seed=None, transform=lambda x: x)

imaginairy/vendored/k_diffusion/sampling.py:116

Method__init__

( self, h, pcoeff, icoeff, dcoeff, order=1, accept_safety=0.81, eps=1e-8 )

imaginairy/vendored/k_diffusion/sampling.py:444

Method__init__

(self, model, extra_args=None, eps_callback=None, info_callback=None)

imaginairy/vendored/k_diffusion/sampling.py:478

Method__init__

(self, feats_in, c_in, c_mid, c_out, group_size=32, dropout_rate=0.0)

imaginairy/vendored/k_diffusion/models/image_v1.py:14

Method__init__

( self, n_layers, feats_in, c_in, c_mid, c_out, group_

imaginairy/vendored/k_diffusion/models/image_v1.py:91

Method__init__

(self, feats_in, feats_out, n_layers=2)

imaginairy/vendored/k_diffusion/models/image_v1.py:158

Method__init__

( self, c_in, feats_in, depths, channels, self_attn_depths,

imaginairy/vendored/k_diffusion/models/image_v1.py:169

Method__init__

( self, version="ViT-B/32", extract_layers=(3, 6, 9), cond_layer=0, re

imaginairy/vendored/clipseg/__init__.py:397

Method__init__

( self, version="ViT-B/32", extract_layers=(3, 6, 9), cond_layer=0, re

imaginairy/vendored/clipseg/__init__.py:576

Method__init__

( self, version="ViT-B/32", cond_layer=0, extract_layer=9, reduce_dim=

imaginairy/vendored/clipseg/__init__.py:627

Method__init__

(self, model)

imaginairy/vendored/clipseg/__init__.py:698

Method__init__

(self, upscale_factor, face_size=512, crop_ratio=(1, 1),

imaginairy/vendored/facexlib/utils/face_restoration_helper.py:51

Method__init__

(self, in_channel, depth, stride)

imaginairy/vendored/facexlib/recognition/arcface_arch.py:43

Method__init__

(self, in_channel, depth, stride)

imaginairy/vendored/facexlib/recognition/arcface_arch.py:61

Method__init__

(self, num_layers, drop_ratio, mode='ir')

imaginairy/vendored/facexlib/recognition/arcface_arch.py:112

Method__init__

(self, in_c, out_c, kernel=(1, 1), stride=(1, 1), padding=(0, 0), groups=1)

imaginairy/vendored/facexlib/recognition/arcface_arch.py:142

Method__init__

(self, in_c, out_c, kernel=(1, 1), stride=(1, 1), padding=(0, 0), groups=1)

imaginairy/vendored/facexlib/recognition/arcface_arch.py:158

Method__init__

(self, in_c, out_c, residual=False, kernel=(3, 3), stride=(2, 2), padding=(1, 1), groups=1)

imaginairy/vendored/facexlib/recognition/arcface_arch.py:172

Method__init__

(self, c, num_block, groups, kernel=(3, 3), stride=(1, 1), padding=(1, 1))

imaginairy/vendored/facexlib/recognition/arcface_arch.py:194

Method__init__

(self, embedding_size)

imaginairy/vendored/facexlib/recognition/arcface_arch.py:208

Method__init__

(self, lda_out_channels, hyper_in_channels, target_in_size, target_fc1_size, target_fc2_size,

imaginairy/vendored/facexlib/assessment/hyperiqa_net.py:39

Method__init__

(self, inplanes, planes, stride=1, downsample=None)

imaginairy/vendored/facexlib/assessment/hyperiqa_net.py:123

Method__init__

(self, lda_out_channels, in_chn, block, layers, num_classes=1000)

imaginairy/vendored/facexlib/assessment/hyperiqa_net.py:160

Method__init__

(self, paras)

imaginairy/vendored/facexlib/assessment/hyperiqa_net.py:246

Method__init__

(self, weight, bias)

imaginairy/vendored/facexlib/assessment/hyperiqa_net.py:285

Method__init__

(self, block, layers, num_bins)

imaginairy/vendored/facexlib/headpose/hopenet_arch.py:9

Method__init__

(self, in_channels_list, out_channels)

imaginairy/vendored/facexlib/detection/retinaface_net.py:68

Method__init__

(self)

imaginairy/vendored/facexlib/detection/retinaface_net.py:102

Method__init__

(self, inchannels=512, num_anchors=3)

imaginairy/vendored/facexlib/detection/retinaface_net.py:140

Method__init__

(self, inchannels=512, num_anchors=3)

imaginairy/vendored/facexlib/detection/retinaface_net.py:154

Method__init__

(self, inchannels=512, num_anchors=3)

imaginairy/vendored/facexlib/detection/retinaface_net.py:167

Method__init__

(self, cfg, image_size=None, phase='train')

imaginairy/vendored/facexlib/detection/retinaface_utils.py:10

Method__init__

(self, network_name='resnet50', half=False, phase='test', device=None)

imaginairy/vendored/facexlib/detection/retinaface.py:73

Method__init__

(self, channels, normalize_shape=None, norm_type='bn')

imaginairy/vendored/facexlib/parsing/parsenet.py:16

Method__init__

(self, channels, relu_type='relu')

imaginairy/vendored/facexlib/parsing/parsenet.py:54

Method__init__

(self, in_channels, out_channels, kernel_size=3,

imaginairy/vendored/facexlib/parsing/parsenet.py:76

Method__init__

(self, c_in, c_out, relu_type='prelu', norm_type='bn', scale='none')

imaginairy/vendored/facexlib/parsing/parsenet.py:118

Method__init__

(self, in_chan, out_chan, ks=3, stride=1, padding=1)

imaginairy/vendored/facexlib/parsing/bisenet.py:10

Method__init__

(self, in_chan, mid_chan, num_class)

imaginairy/vendored/facexlib/parsing/bisenet.py:23

Method__init__

(self, in_chan, out_chan)

imaginairy/vendored/facexlib/parsing/bisenet.py:36

Method__init__

(self)

imaginairy/vendored/facexlib/parsing/bisenet.py:55

Method__init__

(self, in_chan, out_chan)

imaginairy/vendored/facexlib/parsing/bisenet.py:89

Method__init__

(self, in_chan, out_chan, stride=1)

imaginairy/vendored/facexlib/parsing/resnet.py:12

Method__init__

(self, x_dim=64, y_dim=64, with_r=False, with_boundary=False)

imaginairy/vendored/facexlib/alignment/awing_arch.py:46

Method__init__

(self, x_dim, y_dim, with_r, with_boundary, in_channels, first_one=False, *args, **kwargs)

imaginairy/vendored/facexlib/alignment/awing_arch.py:113

Method__init__

(self, inplanes, planes, stride=1, downsample=None)

imaginairy/vendored/facexlib/alignment/awing_arch.py:138

Method__init__

(self, in_planes, out_planes)

imaginairy/vendored/facexlib/alignment/awing_arch.py:167

Method__init__

(self, num_modules, depth, num_features, first_one=False)

imaginairy/vendored/facexlib/alignment/awing_arch.py:212

Method__init__

Initialize a tracker using initial bounding box.

imaginairy/vendored/facexlib/tracking/kalman_tracker.py:39

Method__init__

(self, max_age=1, min_hits=3, iou_threshold=0.3)

imaginairy/vendored/facexlib/tracking/sort.py:13

Method__init__

(self, in_channels, out_channels, kernel_size,

imaginairy/vendored/facexlib/matting/modnet.py:36

Method__init__

(self, in_channels, out_channels, reduction=1)

imaginairy/vendored/facexlib/matting/modnet.py:76

Method__init__

(self, backbone)

imaginairy/vendored/facexlib/matting/modnet.py:100

Method__init__

(self, hr_channels, enc_channels)

imaginairy/vendored/facexlib/matting/modnet.py:134

Method__init__

(self, hr_channels, enc_channels)

imaginairy/vendored/facexlib/matting/modnet.py:190

Method__init__

(self, in_channels=3, hr_channels=32, backbone_pretrained=True)

imaginairy/vendored/facexlib/matting/modnet.py:222

Method__init__

(self, in_channels)

imaginairy/vendored/facexlib/matting/backbone.py:30

Method__init__

(self, inp, oup, stride, expansion, dilation=1)

imaginairy/vendored/facexlib/matting/mobilenetv2.py:37

Method__init__

(self, bpe_path: str = default_bpe())

imaginairy/vendored/clip/simple_tokenizer.py:71

Method__init__

(self, inplanes, planes, stride=1)

imaginairy/vendored/clip/model.py:15

Method__init__

( self, spacial_dim: int, embed_dim: int, num_heads: int, output_dim: int = None )

imaginairy/vendored/clip/model.py:74

Method__init__

(self, layers, output_dim, heads, input_resolution=224, width=64)

imaginairy/vendored/clip/model.py:125

Method__init__

(self, d_model: int, n_head: int, attn_mask: torch.Tensor = None)

imaginairy/vendored/clip/model.py:201

Method__init__

( self, width: int, layers: int, heads: int, attn_mask: torch.Tensor = None )

imaginairy/vendored/clip/model.py:233

Method__init__

( self, input_resolution: int, patch_size: int, width: int, layers: in

imaginairy/vendored/clip/model.py:248

Method__init__

( self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_

imaginairy/vendored/blip/vit.py:49

Method__init__

( self, dim, num_heads, mlp_ratio=4.0, qkv_bias=False, qk_scal

imaginairy/vendored/blip/vit.py:110

Method__init__

Args: img_size (int, tuple): input image size patch_size (int, tuple): patch size in_chans (int): number

imaginairy/vendored/blip/vit.py:160

Method__init__

Args: med_config (str): path for the mixture of encoder-decoder model's configuration file image_size (int): input im

imaginairy/vendored/blip/blip_nlvr.py:14

Method__init__

Args: med_config (str): path for the mixture of encoder-decoder model's configuration file image_size (int): input im

imaginairy/vendored/blip/blip_itm.py:11

Method__init__

Args: med_config (str): path for the mixture of encoder-decoder model's configuration file image_size (int): input im

imaginairy/vendored/blip/blip_vqa.py:12

Method__init__

(self, config)

imaginairy/vendored/blip/nlvr_encoder.py:29

Method__init__

(self, config, is_cross_attention)

imaginairy/vendored/blip/nlvr_encoder.py:86

Method__init__

(self, config, twin=False, merge=False)

imaginairy/vendored/blip/nlvr_encoder.py:252

Method__init__

(self, config, is_cross_attention=False, layer_num=-1)

imaginairy/vendored/blip/nlvr_encoder.py:287

Method__init__

(self, config)

imaginairy/vendored/blip/nlvr_encoder.py:378

Method__init__

(self, config)

imaginairy/vendored/blip/nlvr_encoder.py:393

Method__init__

(self, config)

imaginairy/vendored/blip/nlvr_encoder.py:485

Method__init__

(self, config)

imaginairy/vendored/blip/nlvr_encoder.py:588

Method__init__

(self, config)

imaginairy/vendored/blip/nlvr_encoder.py:603

Method__init__

(self, config)

imaginairy/vendored/blip/nlvr_encoder.py:620

Method__init__

(self, config)

imaginairy/vendored/blip/nlvr_encoder.py:640

Method__init__

(self, config, add_pooling_layer=True)

imaginairy/vendored/blip/nlvr_encoder.py:682

Method__init__

Args: med_config (str): path for the mixture of encoder-decoder model's configuration file image_size (int): input im

imaginairy/vendored/blip/blip_retrieval.py:11

Method__init__

Args: med_config (str): path for the mixture of encoder-decoder model's configuration file image_size (int): input im

imaginairy/vendored/blip/blip_pretrain.py:22

Method__init__

Args: med_config (str): path for the mixture of encoder-decoder model's configuration file image_size (int): input im

imaginairy/vendored/blip/blip.py:91

Method__init__

(self, config)

imaginairy/vendored/blip/med.py:39

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