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Functions601 in github.com/AIFSH/NativeSpeaker

⨍ Functions 601◇ Types & classes 161

↓ 2 callersFunctionscale_coords

(img1_shape, coords, img0_shape, ratio_pad=None)

src/third_part/facelib/detection/yolov5face/utils/general.py:42

↓ 2 callersMethodset_realesrgan

(self)

src/upscale.py:248

↓ 2 callersFunctionswish

(x)

src/third_part/codeformer/vqgan_arch.py:19

↓ 2 callersMethodto_2d

(self, face_sequences)

src/third_part/wav2lip/models/wav2lip.py:158

↓ 2 callersMethodtranscribe

( self, audio: Union[str, np.ndarray], batch_size=None, num_workers=0, language=None, task=None, chunk

src/third_part/whisperx/asr.py:173

↓ 2 callersFunctionxywh2xyxy

(x)

src/third_part/facelib/detection/yolov5face/utils/general.py:32

↓ 1 callersMethod__align_multi

(self, image, boxes, landmarks, limit=None)

src/third_part/facelib/detection/retinaface/retinaface.py:240

↓ 1 callersMethod__call__

Binarize detection scores Parameters ---------- scores : SlidingWindowFeature Detection scores. Returns

src/third_part/whisperx/vad.py:118

↓ 1 callersMethod__init__

( self, onset: float = 0.5, offset: Optional[float] = None, min_duration_on: f

src/third_part/whisperx/vad.py:94

↓ 1 callersMethod__init__

(self, nin, ch, dilations=(4, 8, 16, 32))

src/third_part/uvr5_pack/lib_v5/nets_33966KB.py:9

↓ 1 callersMethod__init__

(self, nin, ch, dilations=(4, 8, 16))

src/third_part/uvr5_pack/lib_v5/nets_537227KB.py:10

↓ 1 callersMethod__init__

(self, nin, ch, dilations=(4, 8, 16))

src/third_part/uvr5_pack/lib_v5/nets_537238KB.py:10

↓ 1 callersMethod__init__

(self, nin, ch, dilations=(4, 8, 16))

src/third_part/uvr5_pack/lib_v5/nets_123812KB.py:9

↓ 1 callersMethod__init__

(self, nin, ch, dilations=(4, 8, 16))

src/third_part/uvr5_pack/lib_v5/nets_61968KB.py:9

↓ 1 callersMethod__init__

(self, nin, ch, dilations=(4, 8, 16))

src/third_part/uvr5_pack/lib_v5/nets.py:10

↓ 1 callersMethod__init__

(self, nin, ch, dilations=(4, 8, 16))

src/third_part/uvr5_pack/lib_v5/nets_123821KB.py:9

↓ 1 callersMethod__init__

( self, nin, nout, nin_lstm, nout_lstm, dilations=((4, 2), (8, 4), (12, 6)) )

src/third_part/uvr5_pack/lib_v5/nets_new.py:9

↓ 1 callersMethod__init__

(self, cfg="yolov5s.yaml", ch=3, nc=None)

src/third_part/facelib/detection/yolov5face/models/yolo.py:96

↓ 1 callersMethod__init__

(self, c1, c2, k=3, s=1, g=1, e=1.0, shortcut=False)

src/third_part/facelib/detection/yolov5face/models/experimental.py:12

↓ 1 callersMethod__init__

(self)

src/third_part/facelib/parsing/resnet.py:50

↓ 1 callersMethod__init__

(self)

src/third_part/wav2lip/face_detection/detection/sfd/net_s3fd.py:23

↓ 1 callersMethod__init__

(self)

src/third_part/wav2lip/models/wav2lip.py:9

↓ 1 callersMethod__init_console_handle

创建终端日志记录器handler，用于输出到控制台

src/log_helper.py:54

↓ 1 callersMethod__set_color_formatter

设置输出格式-控制台 :param console_handle: 终端日志记录器 :param color_config: 控制台打印颜色配置信息 :return:

src/log_helper.py:78

↓ 1 callersMethod__set_color_handle

设置handler级别并添加到终端logger收集器 :param console_handle: 终端日志记录器 :param level: 日志记录器级别

src/log_helper.py:68

↓ 1 callersFunction_build_mel_basis

()

src/third_part/wav2lip/audio.py:98

↓ 1 callersMethod_forward

(self, level, inp)

src/third_part/wav2lip/face_detection/models.py:119

↓ 1 callersFunction_gaussian

( size=3, sigma=0.25, amplitude=1, normalize=False, width=None, height=None, sigma_horz=None,

src/third_part/wav2lip/face_detection/utils.py:11

↓ 1 callersMethod_generate_network

(self, level)

src/third_part/wav2lip/face_detection/models.py:107

↓ 1 callersFunction_get_activation_fn

Return an activation function given a string

src/third_part/codeformer/codeformer_arch.py:87

↓ 1 callersMethod_initialize_biases

(self, cf=None)

src/third_part/facelib/detection/yolov5face/models/yolo.py:134

↓ 1 callersFunction_linear_to_mel

(spectogram)

src/third_part/wav2lip/audio.py:92

↓ 1 callersMethod_load

(self)

src/lipsync.py:155

↓ 1 callersFunction_lws_processor

()

src/third_part/wav2lip/audio.py:53

↓ 1 callersMethod_make_grid

(nx=20, ny=20)

src/third_part/facelib/detection/yolov5face/models/yolo.py:89

↓ 1 callersMethod_postprocess

Postprocessing of raw pytorch model output. Returns: bboxes: list of arrays with 4 coordinates of bounding boxes with for

src/third_part/facelib/detection/yolov5face/face_detector.py:69

↓ 1 callersMethod_preprocess

Preprocessing image before passing through the network. Resize and conversion to torch tensor.

src/third_part/facelib/detection/yolov5face/face_detector.py:48

↓ 1 callersMethod_sanitize_parameters

(self, **kwargs)

src/third_part/whisperx/asr.py:135

↓ 1 callersFunction_scandir

(dir_path, suffix, recursive)

src/third_part/facelib/utils/misc.py:125

↓ 1 callersFunctionadain_npy

Adaptive instance normalization for numpy. Args: content_feat (numpy): The input feature. style_feat (numpy): The reference featu

src/third_part/facelib/utils/misc.py:191

↓ 1 callersFunctionadaptive_instance_normalization

Adaptive instance normalization. Adjust the reference features to have the similar color and illuminations as those in the degradate features

src/third_part/codeformer/codeformer_arch.py:28

↓ 1 callersMethodadd_restored_face

(self, restored_face, input_face=None)

src/third_part/facelib/utils/face_restoration_helper.py:362

↓ 1 callersFunctionalign

Align phoneme recognition predictions to known transcription.

src/third_part/whisperx/alignment.py:94

↓ 1 callersFunctionalign_crop_face_landmarks

Align and crop face with landmarks. The output_size and transform_size are based on width. The height is adjusted based on shrink_ratio_h/shr

src/third_part/facelib/utils/face_utils.py:31

↓ 1 callersMethodalign_warp_face

Align and warp faces with face template.

src/third_part/facelib/utils/face_restoration_helper.py:317

↓ 1 callersFunctionalign_wave_head_and_tail

(a, b)

src/third_part/uvr5_pack/lib_v5/spec_utils.py:200

↓ 1 callersFunctionanalyse_frame

(frame)

src/nfsw.py:60

↓ 1 callersFunctionanalyse_video

(video_path : str)

src/nfsw.py:15

↓ 1 callersFunctionassign_word_speakers

(diarize_df, transcript_result, fill_nearest=False)

src/third_part/whisperx/diarize.py:35

↓ 1 callersFunctionautopad

(k, p=None)

src/third_part/facelib/detection/yolov5face/models/common.py:18

↓ 1 callersFunctionbacktrack

(trellis, emission, tokens, blank_id=0)

src/third_part/whisperx/alignment.py:381

↓ 1 callersFunctionbatch_decode

Decode locations from predictions using priors to undo the encoding we did for offset regression at train time. Args: loc (tensor): lo

src/third_part/wav2lip/face_detection/detection/sfd/bbox.py:111

↓ 1 callersFunctionbatch_detect

(net, imgs, device)

src/third_part/wav2lip/face_detection/detection/sfd/detect.py:58

↓ 1 callersFunctionbatched_decode

Decode locations from predictions using priors to undo the encoding we did for offset regression at train time. Args: b_loc (tensor):

src/third_part/facelib/detection/retinaface/retinaface_utils.py:297

↓ 1 callersFunctionbatched_decode_landm

Decode landm from predictions using priors to undo the encoding we did for offset regression at train time. Args: pre (tensor): landm

src/third_part/facelib/detection/retinaface/retinaface_utils.py:320

↓ 1 callersMethodbatched_transform

Arguments: frames: a list of PIL.Image, or torch.Tensor(shape=[n, h, w, c], type=np.float32, BGR format).

src/third_part/facelib/detection/retinaface/retinaface.py:266

↓ 1 callersMethodbgm_map_vocal

(self,bgm_audio:AudioSegment,vocal_audio:AudioSegment)

src/core.py:157

↓ 1 callersFunctionbgr2gray

(img, out_channel=3)

src/third_part/facelib/utils/misc.py:169

↓ 1 callersFunctionchannel_shuffle

(x, groups)

src/third_part/facelib/detection/yolov5face/models/common.py:25

↓ 1 callersFunctioncheck_anchor_order

(m)

src/third_part/facelib/detection/yolov5face/utils/autoanchor.py:4

↓ 1 callersFunctioncheck_img_size

(img_size, s=32)

src/third_part/facelib/detection/yolov5face/utils/general.py:9

↓ 1 callersMethodcleanup

(cls)

src/temp_manager.py:21

↓ 1 callersFunctionclip_coords

(boxes, img_shape)

src/third_part/facelib/detection/yolov5face/utils/general.py:58

↓ 1 callersMethodcombie_audio

(self,vocal_audio:AudioSegment,bgm_audio:AudioSegment,file_path)

src/core.py:153

↓ 1 callersFunctioncopy_attr

(a, b, include=(), exclude=())

src/third_part/facelib/detection/yolov5face/utils/torch_utils.py:34

↓ 1 callersFunctioncount_video_frame_total

(video_path : str)

src/nfsw.py:32

↓ 1 callersFunctioncvt_tform_mat_for_cv2

Function: ---------- Convert Transform Matrix 'trans' into 'cv2_trans' which could be directly used by cv2.warpAffine():

src/third_part/facelib/detection/matlab_cp2tform.py:170

↓ 1 callersMethoddatagen

(self,frames, mels)

src/lipsync.py:165

↓ 1 callersMethoddebug

(self, message)

src/log_helper.py:137

↓ 1 callersFunctiondecode

Decode locations from predictions using priors to undo the encoding we did for offset regression at train time. Args: loc (tensor): lo

src/third_part/facelib/detection/retinaface/retinaface_utils.py:254

↓ 1 callersFunctiondecode

Decode locations from predictions using priors to undo the encoding we did for offset regression at train time. Args: loc (tensor): lo

src/third_part/wav2lip/face_detection/detection/sfd/bbox.py:91

↓ 1 callersFunctiondecode_execution_providers

(execution_providers: List[str])

src/nfsw.py:82

↓ 1 callersFunctiondecode_landm

Decode landm from predictions using priors to undo the encoding we did for offset regression at train time. Args: pre (tensor): landm

src/third_part/facelib/detection/retinaface/retinaface_utils.py:274

↓ 1 callersFunctiondetect_fps

(video_path : str)

src/nfsw.py:41

↓ 1 callersMethoddetect_from_batch

(self, images)

src/third_part/wav2lip/face_detection/detection/sfd/sfd_detector.py:41

↓ 1 callersMethoddetect_from_image

Detects faces in a given image. This function detects the faces present in a provided BGR(usually) image. The input can be either the

src/third_part/wav2lip/face_detection/detection/core.py:32

↓ 1 callersMethoddetermine_advanced_split_points

(self, segment, next_segment_start_time=None)

src/third_part/whisperx/SubtitlesProcessor.py:100

↓ 1 callersFunctionencode

Encode the variances from the priorbox layers into the ground truth boxes we have matched (based on jaccard overlap) with the prior boxes. Arg

src/third_part/facelib/detection/retinaface/retinaface_utils.py:200

↓ 1 callersFunctionencode_execution_providers

(execution_providers : List[str])

src/nfsw.py:78

↓ 1 callersFunctionencode_landm

Encode the variances from the priorbox layers into the ground truth boxes we have matched (based on jaccard overlap) with the prior boxes. Arg

src/third_part/facelib/detection/retinaface/retinaface_utils.py:224

↓ 1 callersFunctionensembling

(a, specs)

src/third_part/uvr5_pack/lib_v5/spec_utils.py:489

↓ 1 callersFunctionfindSimilarity

(uv, xy, options=None)

src/third_part/facelib/detection/matlab_cp2tform.py:94

↓ 1 callersFunctionfind_numeral_symbol_tokens

(tokenizer)

src/third_part/whisperx/asr.py:16

↓ 1 callersFunctionformat_timestamp

( seconds: float, always_include_hours: bool = False, decimal_marker: str = "." )

src/third_part/whisperx/utils.py:170

↓ 1 callersMethodforward

(self, x, aggressiveness=None)

src/third_part/uvr5_pack/lib_v5/nets_33966KB.py:60

↓ 1 callersMethodforward

(self, x, aggressiveness=None)

src/third_part/uvr5_pack/lib_v5/nets_537227KB.py:61

↓ 1 callersMethodforward

(self, x, aggressiveness=None)

src/third_part/uvr5_pack/lib_v5/nets_537238KB.py:61

↓ 1 callersMethodforward

(self, x, aggressiveness=None)

src/third_part/uvr5_pack/lib_v5/nets_123812KB.py:60

↓ 1 callersMethodforward

(self, x, aggressiveness=None)

src/third_part/uvr5_pack/lib_v5/nets_61968KB.py:60

↓ 1 callersMethodforward

(self, x, aggressiveness=None)

src/third_part/uvr5_pack/lib_v5/nets.py:61

↓ 1 callersMethodforward

(self, x, aggressiveness=None)

src/third_part/uvr5_pack/lib_v5/nets_123821KB.py:60

↓ 1 callersMethodforward

(self)

src/third_part/facelib/detection/retinaface/retinaface_utils.py:19

↓ 1 callersMethodforward

(self, x)

src/third_part/facelib/detection/yolov5face/models/yolo.py:120

↓ 1 callersMethodforward_once

(self, x)

src/third_part/facelib/detection/yolov5face/models/yolo.py:123

↓ 1 callersFunctionfuse_conv_and_bn

(conv, bn)

src/third_part/facelib/detection/yolov5face/utils/torch_utils.py:5

↓ 1 callersFunctiongenerate_config

(network_name)

src/third_part/facelib/detection/retinaface/retinaface.py:18

↓ 1 callersMethodgenerate_segment_batched

(self, features: np.ndarray, tokenizer: faster_whisper.tokenizer.Tokenizer, options: faster_whisper.transcribe

src/third_part/whisperx/asr.py:31

↓ 1 callersMethodgenerate_subtitles_from_split_points

(self, segment, split_points, next_start_time=None)

src/third_part/whisperx/SubtitlesProcessor.py:142

↓ 1 callersFunctionget_affine_transform_matrix

Function: ---------- get affine transform matrix 'tfm' from src_pts to dst_pts Parameters: ---------- @src_pts: Kx2 n

src/third_part/facelib/detection/align_trans.py:112

↓ 1 callersFunctionget_center_face

(det_faces, h=0, w=0, center=None)

src/third_part/facelib/utils/face_restoration_helper.py:39

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