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Functions470 in github.com/deepcam-cn/yolov5-face

⨍ Functions 470◇ Types & classes 59

Method__getitem__

utils/face_datasets.py:271

Method__getitem__

utils/datasets.py:492

Method__getitem__

data/retinaface2yolo.py:40

Method__getitem__

data/train2yolo.py:40

(self, alpha=0.05)

utils/loss.py:17

(self, loss_fcn, gamma=1.5, alpha=0.25)

utils/loss.py:34

(self, loss_fcn, gamma=1.5, alpha=0.25)

utils/loss.py:64

(self, alpha=1.0)

utils/loss.py:106

(self, model, decay=0.9999, updates=0)

utils/torch_utils.py:270

(self, nc, conf=0.25, iou_thres=0.45)

utils/metrics.py:109

(self, *args, **kwargs)

utils/face_datasets.py:91

(self, path, img_size=640, batch_size=16, augment=False, hyp=None, rect=False, image_weights=False,

utils/face_datasets.py:117

(self, *args, **kwargs)

utils/datasets.py:93

(self, sampler)

utils/datasets.py:113

(self, pipe='0', img_size=640)

utils/datasets.py:202

(self, sources='streams.txt', img_size=640)

utils/datasets.py:259

(self, path, img_size=640, batch_size=16, augment=False, hyp=None, rect=False, image_weights=False,

utils/datasets.py:338

(self, c1, k=3)

utils/activations.py:66

(self, opt, name, run_id, data_dict, job_type='Training')

utils/wandb_logging/wandb_utils.py:81

(self, txt_path, preproc=None)

data/retinaface2yolo.py:10

(self, txt_path, preproc=None)

data/train2yolo.py:10

(self,trt_path)

torch2trt/trt_model.py:43

(self, nc=80, anchors=(), ch=())

models/yolo.py:31

(self, c1, c2, k=1, s=1, p=None, g=1, act=True)

models/common.py:39

(self, c1, c2, k=3, s=2, p=None, g=1, act=True)

models/common.py:53

(self, c1, c2, shortcut=True, g=1, e=0.5)

models/common.py:71

(self, c1, c2, n=1, shortcut=True, g=1, e=0.5)

models/common.py:83

(self, inp, oup, stride)

models/common.py:114

(self, in_channels,out_channels,mid_channels=None,stride=1)

models/common.py:160

(self,in_channels,out_channels,mid_channels=None,stride=1)

models/common.py:191

(self, c1, c2, k=(5, 9, 13))

models/common.py:229

(self, c1, c2, k=5)

models/common.py:242

(self, c1, c2, k=1, s=1, p=None, g=1, act=True)

models/common.py:260

models/common.py:272

models/common.py:286

(self, dimension=1)

models/common.py:300

models/common.py:314

models/common.py:327

(self, imgs, pred, names=None)

models/common.py:384

(self, c1, c2, k=1, s=1, p=None, g=1)

models/common.py:448

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

models/experimental.py:13

(self, c1, c2, k=1, s=1, g=1, act=True)

models/experimental.py:48

(self, c1, c2, k, s)

models/experimental.py:61

(self, c1, c2, k=(1, 3), s=1, equal_ch=True)

models/experimental.py:76

models/experimental.py:100

utils/face_datasets.py:99

utils/datasets.py:101

utils/datasets.py:116

utils/datasets.py:215

utils/datasets.py:304

utils/face_datasets.py:96

utils/face_datasets.py:262

utils/datasets.py:98

utils/datasets.py:197

utils/datasets.py:254

utils/datasets.py:327

utils/datasets.py:483

data/retinaface2yolo.py:37

data/train2yolo.py:37

models/common.py:434

utils/datasets.py:154

utils/datasets.py:219

utils/datasets.py:308

Function__pyx_f_5numpy_PyArray_MultiIterNew1

widerface_evaluate/box_overlaps.c:2474

Function__pyx_f_5numpy_PyArray_MultiIterNew2

widerface_evaluate/box_overlaps.c:2524

Function__pyx_f_5numpy_PyArray_MultiIterNew3

widerface_evaluate/box_overlaps.c:2574

Function__pyx_f_5numpy_PyArray_MultiIterNew4

widerface_evaluate/box_overlaps.c:2624

Function__pyx_f_5numpy_PyArray_MultiIterNew5

widerface_evaluate/box_overlaps.c:2674

Function__pyx_f_5numpy_PyDataType_SHAPE

widerface_evaluate/box_overlaps.c:2724

Function__pyx_f_5numpy__util_dtypestring

widerface_evaluate/box_overlaps.c:2798

Function__pyx_f_5numpy_get_array_base

widerface_evaluate/box_overlaps.c:3589

Function__pyx_f_5numpy_import_array

widerface_evaluate/box_overlaps.c:3670

Function__pyx_f_5numpy_import_ufunc

widerface_evaluate/box_overlaps.c:3934

Function__pyx_f_5numpy_import_umath

widerface_evaluate/box_overlaps.c:3802

Function__pyx_f_5numpy_set_array_base

widerface_evaluate/box_overlaps.c:3547

Function__pyx_pw_4bbox_1bbox_overlaps

widerface_evaluate/box_overlaps.c:1804

Function__pyx_pymod_create

widerface_evaluate/box_overlaps.c:4397

Method_print_biases

models/yolo.py:213

Functionapply_classifier

(x, model, img, im0)

utils/general.py:597

Methodautoshape

models/common.py:331

Functionautosplit

Autosplit a dataset into train/val/test splits and save path/autosplit_*.txt files # Arguments path: Path to images directory

utils/face_datasets.py:819

Functionautosplit

Autosplit a dataset into train/val/test splits and save path/autosplit_*.txt files # Arguments path: Path to images directory

utils/datasets.py:1004

(ctx, grad_output)

utils/activations.py:30

Functionbutter_lowpass_filtfilt

(data, cutoff=1500, fs=50000, order=5)

utils/plots.py:46

Functioncheck_requirements

(file='requirements.txt')

utils/general.py:80

Functioncheck_wandb_config_file

(data_config_file)

utils/wandb_logging/wandb_utils.py:27

Functioncheck_wandb_resume

utils/wandb_logging/wandb_utils.py:42

Methodcollate_fn

utils/face_datasets.py:405

Methodcollate_fn

utils/datasets.py:569

Methodcollate_fn4

utils/datasets.py:576

YOLOv5-custom model from https://github.com/ultralytics/yolov5 Arguments (3 options): path_or_model (str): 'path/to/model.pt' pat

(image, labels)

utils/face_datasets.py:723

(image, labels)

utils/datasets.py:908

Functiondecode_infer

(output, stride)

utils/infer_utils.py:5

Functiondetection_collate

Custom collate fn for dealing with batches of images that have a different number of associated object annotations (bounding boxes). Argument

data/retinaface2yolo.py:79

Functiondetection_collate

Custom collate fn for dealing with batches of images that have a different number of associated object annotations (bounding boxes). Argument

data/train2yolo.py:80

Methodend_epoch

(self, best_result=False)

utils/wandb_logging/wandb_utils.py:290

Functionextract_boxes

(path='../coco128/')

utils/face_datasets.py:784

Functionextract_boxes

(path='../coco128/')

utils/datasets.py:969

Functionfind_modules

(model, mclass=nn.Conv2d)

utils/torch_utils.py:147

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