Functions — github.com/GraftingRayman/Comfyui-reactor-node

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Functions1,050 in github.com/GraftingRayman/Comfyui-reactor-node

⨍ Functions 1,050◇ Types & classes 258

Method__init__

(self, *args, **kwargs)

r_basicsr/archs/basicvsrpp_arch.py:355

Method__init__

(self, seq_type, in_channels, out_channels, depth_multiplier=1)

r_basicsr/archs/ecbsr_arch.py:21

Method__init__

(self, num_in_ch, num_out_ch, num_block, num_channel, with_idt, act_type, scale)

r_basicsr/archs/ecbsr_arch.py:251

Method__init__

(self, num_in_ch=3, num_out_ch=3, num_feat=64, num_block=16, upscale=4)

r_basicsr/archs/srresnet_arch.py:25

Method__init__

(self, num_feat=64, num_grow_ch=32, adapt_official_weights=False)

r_basicsr/archs/duf_arch.py:21

Method__init__

(self, num_block, num_feat=64, num_grow_ch=16, adapt_official_weights=False)

r_basicsr/archs/duf_arch.py:92

Method__init__

(self, filter_size=(5, 5))

r_basicsr/archs/duf_arch.py:144

Method__init__

(self, num_in_ch=3, num_feat=64, use_vae=False,

r_basicsr/archs/hifacegan_arch.py:13

Method__init__

(self, num_in_ch=3, num_out_ch=3, conditional_d=True,

r_basicsr/archs/hifacegan_arch.py:187

Method__init__

(self, input_nc, n_layers_d, num_feat, norm_d, keep_features)

r_basicsr/archs/hifacegan_arch.py:225

Method__init__

(self, in_channels, pool_features)

r_basicsr/archs/inception.py:192

Method__init__

(self, in_channels, channels_7x7)

r_basicsr/archs/inception.py:217

Method__init__

(self, in_channels)

r_basicsr/archs/inception.py:245

Method__init__

(self, in_channels)

r_basicsr/archs/inception.py:278

Method__init__

(self, in_channel, out_channel, kernel_size=3, padding=1)

r_basicsr/archs/dfdnet_arch.py:22

Method__init__

(self, num_feat, squeeze_factor=16)

r_basicsr/archs/rcan_arch.py:16

Method__init__

(self, num_feat, num_block, squeeze_factor=16, res_scale=1)

r_basicsr/archs/rcan_arch.py:59

Method__init__

(self, num_in_ch, num_out_ch, num_feat=64,

r_basicsr/archs/rcan_arch.py:96

Method__init__

(self)

r_basicsr/archs/tof_arch.py:16

Method__init__

(self, load_path=None)

r_basicsr/archs/tof_arch.py:59

Method__init__

(self, num_in_ch=3, num_out_ch=3, num_feat=64, num_conv=16, upscale=4, act_type='prelu')

r_basicsr/archs/srvgg_arch.py:23

Method__init__

(self, dataset, num_replicas, rank, ratio=1)

r_basicsr/data/data_sampler.py:21

Method__init__

(self, opt)

r_basicsr/data/paired_image_dataset.py:40

Method__init__

(self, generator, num_prefetch_queue)

r_basicsr/data/prefetch_dataloader.py:18

Method__init__

(self, num_prefetch_queue, **kwargs)

r_basicsr/data/prefetch_dataloader.py:55

Method__init__

(self, loader, opt)

r_basicsr/data/prefetch_dataloader.py:97

Method__init__

(self, opt)

r_basicsr/data/video_test_dataset.py:153

Method__init__

(self, opt)

r_basicsr/data/video_test_dataset.py:266

Method__init__

(self, opt)

r_basicsr/data/vimeo90k_dataset.py:132

Method__init__

(self, opt)

r_basicsr/data/realesrgan_paired_dataset.py:42

Method__init__

(self, opt)

r_basicsr/data/ffhq_dataset.py:26

Method__init__

(self, opt)

r_basicsr/data/single_image_dataset.py:27

Method__init__

(self, opt)

r_basicsr/data/reds_dataset.py:252

Method__init__

(self, opt)

r_basicsr/data/realesrgan_dataset.py:36

Method__init__

(self, opt)

r_basicsr/models/realesrnet_model.py:24

Method__init__

(self, opt)

r_basicsr/models/sr_model.py:18

Method__init__

(self, opt)

r_basicsr/models/realesrgan_model.py:25

Method__init__

(self, opt)

r_basicsr/models/base_model.py:16

Method__init__

(self, opt)

r_basicsr/models/edvr_model.py:13

Method__init__

(self, opt)

r_basicsr/models/stylegan2_model.py:21

Method__init__

(self, optimizer, periods, restart_weights=(1, ), eta_min=0, last_epoch=-1)

r_basicsr/models/lr_scheduler.py:77

Method__init__

(self, opt)

r_basicsr/models/video_recurrent_model.py:17

Method__init__

(self, loss_weight=1.0, reduction='mean')

r_basicsr/losses/basic_loss.py:65

Method__init__

(self, loss_weight=1.0, reduction='mean', eps=1e-12)

r_basicsr/losses/basic_loss.py:98

Method__init__

(self, loss_weight=1.0, reduction='mean')

r_basicsr/losses/basic_loss.py:125

Method__init__

(self, layer_weights, vgg_type='vgg19', use_input_norm=T

r_basicsr/losses/basic_loss.py:170

Method__init__

(self, gan_type, real_label_val=1.0, fake_label_val=0.0, loss_weight=1.0)

r_basicsr/losses/gan_loss.py:121

Method__iter__

(self)

r_basicsr/utils/registry.py:77

Method__iter__

(self)

r_basicsr/data/data_sampler.py:29

Method__iter__

(self)

r_basicsr/data/prefetch_dataloader.py:59

Method__len__

(self)

r_facelib/detection/yolov5face/models/common.py:290

Method__len__

(self)

r_basicsr/data/data_sampler.py:44

Method__len__

(self)

r_basicsr/data/paired_image_dataset.py:107

Method__len__

(self)

r_basicsr/data/video_test_dataset.py:128

Method__len__

(self)

r_basicsr/data/video_test_dataset.py:197

Method__len__

(self)

r_basicsr/data/video_test_dataset.py:286

Method__len__

(self)

r_basicsr/data/vimeo90k_dataset.py:125

Method__len__

(self)

r_basicsr/data/vimeo90k_dataset.py:191

Method__len__

(self)

r_basicsr/data/realesrgan_paired_dataset.py:108

Method__len__

(self)

r_basicsr/data/single_image_dataset.py:67

Method__len__

(self)

r_basicsr/data/reds_dataset.py:208

Method__len__

(self)

r_basicsr/data/reds_dataset.py:359

Method__next__

(self)

r_basicsr/data/prefetch_dataloader.py:30

Function__repr__

Return a nicely formatted representation string

scripts/r_masking/core.py:135

Method__repr__

(self)

r_chainner/archs/face/stylegan2_clean_arch.py:138

Method__repr__

(self)

r_basicsr/archs/stylegan2_arch.py:68

Method__repr__

(self)

r_basicsr/archs/stylegan2_arch.py:93

Method__repr__

(self)

r_basicsr/archs/stylegan2_arch.py:129

Method__repr__

(self)

r_basicsr/archs/stylegan2_arch.py:177

Method__repr__

(self)

r_basicsr/archs/stylegan2_arch.py:281

Method__repr__

(self)

r_basicsr/archs/stylegan2_arch.py:646

Method__str__

(self)

r_facelib/detection/matlab_cp2tform.py:9

Method__str__

(self)

r_facelib/detection/align_trans.py:15

Function_asdict

Return a new dict which maps field names to their values.

scripts/r_masking/core.py:139

Method_constant_init

(module, val, bias=0)

r_basicsr/archs/basicvsrpp_arch.py:374

Method_init_weights

(self, module)

scripts/r_archs/codeformer_arch.py:211

Method_init_weights

(self, m)

r_basicsr/archs/swinir_arch.py:859

Function_make

(cls, iterable)

scripts/r_masking/core.py:117

Method_print_biases

(self)

r_facelib/detection/yolov5face/models/yolo.py:143

Function_replace

(self, /, **kwds)

scripts/r_masking/core.py:126

Method_wgan_loss

wgan loss. Args: input (Tensor): Input tensor. target (bool): Target label. Returns: Tens

r_basicsr/losses/gan_loss.py:43

Method_wgan_softplus_loss

wgan loss with soft plus. softplus is a smooth approximation to the ReLU function. In StyleGAN2, it is called: Logist

r_basicsr/losses/gan_loss.py:55

Functionadd_gaussian_noise

Add Gaussian noise. Args: img (Numpy array): Input image, shape (h, w, c), range [0, 1], float32. sigma (float): Noise scale

r_basicsr/data/degradations.py:442

Functionadd_gaussian_noise_pt

Add Gaussian noise (PyTorch version). Args: img (Tensor): Shape (b, c, h, w), range[0, 1], float32. scale (float | Tensor): N

r_basicsr/data/degradations.py:496

Functionadd_norm_layer

(layer)

r_basicsr/archs/hifacegan_util.py:225

Functionadd_poisson_noise

Add poisson noise. Args: img (Numpy array): Input image, shape (h, w, c), range [0, 1], float32. scale (float): Noise scale.

r_basicsr/data/degradations.py:590

Functionadd_poisson_noise_pt

Add poisson noise to a batch of images (PyTorch version). Args: img (Tensor): Input image, shape (b, c, h, w), range [0, 1], float32.

r_basicsr/data/degradations.py:661

Methodalign_multi

(self, img, conf_threshold=0.8, limit=None)

r_facelib/detection/retinaface/retinaface.py:276

Methodautoshape

(self)

r_facelib/detection/yolov5face/models/yolo.py:174

Methodautoshape

(self)

r_facelib/detection/yolov5face/models/common.py:228

Methodbackward

(ctx, gradgrad_input, gradgrad_bias)

r_basicsr/ops/fused_act/fused_act.py:52

Methodbackward

(ctx, grad_output)

r_basicsr/ops/fused_act/fused_act.py:73

Methodbackward

(ctx, grad_output)

r_basicsr/ops/dcn/deform_conv.py:75

Methodbackward

(ctx, grad_output)

r_basicsr/ops/dcn/deform_conv.py:157

Methodbackward

(ctx, gradgrad_input)

r_basicsr/ops/upfirdn2d/upfirdn2d.py:73

Methodbackward

(ctx, grad_output)

r_basicsr/ops/upfirdn2d/upfirdn2d.py:135

Methodbackward

(ctx, gradgrad_output)

r_basicsr/archs/dfdnet_util.py:17

Functionbasedir

()

modules/scripts.py:8

Methodbatched_detect_faces

Arguments: frames: a list of PIL.Image, or np.array(shape=[n, h, w, c], type=np.uint8, BGR format).

r_facelib/detection/retinaface/retinaface.py:327

Methodblend_faces

(self, save_mode, send_only, face_model_name, compute_method, images=None, face_models=None)

nodes.py:524

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