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Functions1,443 in github.com/WangRongsheng/BestYOLO

⨍ Functions 1,443◇ Types & classes 273↳ Endpoints 2
↓ 2 callersMethod__init__
(self, loss_fcn, gamma=1.5, alpha=0.25)
deploy/yolov5_multi-lable/ml_loss.py:41
↓ 2 callersMethod__init__
(self, loss_fcn, gamma=1.5, alpha=0.25)
utils/loss.py:37
↓ 2 callersMethod__init__
(self, path, img_size=640, stride=32, auto=True, transforms=None, vid_stride=1)
utils/dataloaders.py:240
↓ 2 callersMethod__init__
(self, half=False)
utils/augmentations.py:388
↓ 2 callersMethod__init__
(self, c1, k=3)
utils/activations.py:55
↓ 2 callersMethod__init__
(self, n, weight=False)
models/experimental.py:16
↓ 2 callersMethod__init__
(self, c1, c2, n=1, shortcut=True, g=1, e=0.5)
models/ops_dcnv3/common and yolo.py:29
↓ 2 callersMethod__str__
(self)
models/common.py:831
↓ 2 callersMethod_forward_once
(self, x, profile=False, visualize=False)
deploy/gui/models/yolo.py:142
↓ 2 callersMethod_new_video
(self, path)
utils/dataloaders.py:317
↓ 2 callersFunctionactivations
(act=nn.SiLU)
models/tf.py:542
↓ 2 callersFunctionall_logging_disabled
source - https://gist.github.com/simon-weber/7853144 A context manager that will prevent any logging messages triggered during the body from bein
deploy/gui/utils/wandb_logging/wandb_utils.py:363
↓ 2 callersFunctionall_logging_disabled
source - https://gist.github.com/simon-weber/7853144 A context manager that will prevent any logging messages triggered during the body from bein
deploy/gui/utils/loggers/wandb/wandb_utils.py:551
↓ 2 callersFunctionall_logging_disabled
source - https://gist.github.com/simon-weber/7853144 A context manager that will prevent any logging messages triggered during the body from bein
utils/loggers/wandb/wandb_utils.py:578
↓ 2 callersFunctionamp_allclose
(model, im)
utils/general.py:568
↓ 2 callersFunctionamp_allclose
(model, im)
utils/general-softnms.py:569
↓ 2 callersFunctionanchor_fitness
(k)
deploy/gui/utils/autoanchor.py:93
↓ 2 callersFunctionanchor_fitness
(k)
utils/autoanchor.py:95
↓ 2 callersFunctionattempt_download
(file, repo='ultralytics/yolov5')
deploy/gui/utils/google_utils.py:39
↓ 2 callersFunctionaugment_hsv
(im, hgain=0.5, sgain=0.5, vgain=0.5)
utils/augmentations.py:67
↓ 2 callersFunctionbbox_ioa
Returns the intersection over box2 area given box1, box2. Boxes are x1y1x2y2 box1: np.array of shape(4) box2: np.array of shape(n
deploy/gui/utils/metrics.py:269
↓ 2 callersFunctionbbox_ioa
Returns the intersection over box2 area given box1, box2. Boxes are x1y1x2y2 box1: np.array of shape(4) box2: np.array of shape(n
utils/metrics.py:287
↓ 2 callersFunctionbbox_iou
(box1, box2, x1y1x2y2=True, GIoU=False, DIoU=False, CIoU=False, eps=1e-7)
deploy/gui/utils/metrics.py:202
↓ 2 callersFunctionbox_area
(box)
deploy/gui/utils/metrics.py:257
↓ 2 callersFunctionbox_candidates
(box1, box2, wh_thr=2, ar_thr=100, area_thr=0.1, eps=1e-16)
utils/augmentations.py:297
↓ 2 callersMethodbuild_targets
(self, p, targets)
deploy/yolov5_multi-lable/ml_loss.py:217
↓ 2 callersFunctioncheck_anchor_order
(m)
deploy/gui/utils/autoanchor.py:18
↓ 2 callersFunctioncheck_anchors
(dataset, model, thr=4.0, imgsz=640)
deploy/gui/utils/autoanchor.py:28
↓ 2 callersMethodcheck_and_upload_dataset
(self, opt)
deploy/gui/utils/wandb_logging/wandb_utils.py:145
↓ 2 callersMethodcheck_and_upload_dataset
Check if the dataset format is compatible and upload it as W&B artifact arguments: opt (namespace)-- Commandline arguments f
deploy/gui/utils/loggers/wandb/wandb_utils.py:192
↓ 2 callersMethodcheck_and_upload_dataset
Check if the dataset format is compatible and upload it as W&B artifact arguments: opt (namespace)-- Commandline arguments f
utils/loggers/wandb/wandb_utils.py:203
↓ 2 callersFunctioncheck_git_status
()
deploy/gui/utils/general.py:246
↓ 2 callersFunctioncheck_online
()
deploy/gui/utils/general.py:234
↓ 2 callersFunctioncheck_online
()
utils/general.py:294
↓ 2 callersFunctioncheck_online
()
utils/general-softnms.py:295
↓ 2 callersFunctioncheck_pil_font
(font=FONT, size=10)
deploy/gui/utils/plots.py:51
↓ 2 callersFunctioncheck_version
(current='0.0.0', minimum='0.0.0', name='version ', pinned=False, hard=False, verbose=False)
utils/general-softnms.py:370
↓ 2 callersFunctioncheck_wandb_dataset
(data_file)
deploy/gui/utils/loggers/wandb/wandb_utils.py:43
↓ 2 callersFunctioncheck_wandb_dataset
(data_file)
utils/loggers/wandb/wandb_utils.py:43
↓ 2 callersMethodclass_result
class-aware result, return p[i], r[i], ap50[i], ap[i]
utils/segment/metrics.py:127
↓ 2 callersFunctionclip_boxes
(boxes, shape)
utils/general-softnms.py:860
↓ 2 callersFunctioncoco80_to_coco91_class
()
utils/general.py:738
↓ 2 callersFunctioncopy_attr
(a, b, include=(), exclude=())
deploy/gui/utils/torch_utils.py:267
↓ 2 callersFunctioncopy_attr
(a, b, include=(), exclude=())
utils/torch_utils.py:309
↓ 2 callersMethodcreate_dataset_table
(self, dataset, class_to_id, name='dataset')
deploy/gui/utils/wandb_logging/wandb_utils.py:264
↓ 2 callersMethodcreate_dataset_table
Create and return W&B artifact containing W&B Table of the dataset. arguments: dataset -- instance of LoadImagesAndLabels cl
deploy/gui/utils/loggers/wandb/wandb_utils.py:391
↓ 2 callersMethodcreate_dataset_table
Create and return W&B artifact containing W&B Table of the dataset. arguments: dataset -- instance of LoadImagesAndLabels cl
utils/loggers/wandb/wandb_utils.py:403
↓ 2 callersFunctiondownload
(url, dir='.', unzip=True, delete=True, curl=False, threads=1, retry=3)
utils/general.py:620
↓ 2 callersMethoddownload_dataset_artifact
(self, path, alias)
deploy/gui/utils/wandb_logging/wandb_utils.py:192
↓ 2 callersMethoddownload_dataset_artifact
download the model checkpoint artifact if the path starts with WANDB_ARTIFACT_PREFIX arguments: path -- path of the dataset
deploy/gui/utils/loggers/wandb/wandb_utils.py:262
↓ 2 callersMethoddownload_dataset_artifact
download the model checkpoint artifact if the path starts with WANDB_ARTIFACT_PREFIX arguments: path -- path of the dataset
utils/loggers/wandb/wandb_utils.py:272
↓ 2 callersFunctiondownload_model_checkpoint
(opt, experiment)
utils/loggers/comet/comet_utils.py:19
↓ 2 callersFunctiondownload_one
(url, dir)
deploy/gui/utils/general.py:459
↓ 2 callersFunctiondownload_one
(url, dir)
utils/general.py:622
↓ 2 callersFunctiondownload_one
(url, dir)
utils/general-softnms.py:623
↓ 2 callersFunctionexif_transpose
Transpose a PIL image accordingly if it has an EXIF Orientation tag. Inplace version of https://github.com/python-pillow/Pillow/blob/master/s
deploy/gui/utils/datasets.py:68
↓ 2 callersFunctionexif_transpose
Transpose a PIL image accordingly if it has an EXIF Orientation tag. Inplace version of https://github.com/python-pillow/Pillow/blob/master/s
utils/dataloaders.py:70
↓ 2 callersFunctionfeature_visualization
x: Features to be visualized module_type: Module type stage: Module stage within model n: Maxim
utils/plots.py:184
↓ 2 callersMethodfinish_run
(self)
utils/loggers/comet/__init__.py:507
↓ 2 callersMethodforward
(self, x, augment=False, profile=False, visualize=False)
models/yolo.py:206
↓ 2 callersMethodforward
(self, x, augment=False, profile=False, visualize=False)
models/yolo_AuxOTA.py:211
↓ 2 callersMethodfuse
(self)
models/yolo.py:140
↓ 2 callersFunctionfuse_conv_and_bn
(conv, bn)
utils/torch_utils.py:248
↓ 2 callersMethodget_cam_num
(self)
deploy/gui/utils/capnums.py:8
↓ 2 callersFunctionget_hash
(paths)
deploy/gui/utils/datasets.py:45
↓ 2 callersFunctionget_hash
(paths)
utils/dataloaders.py:52
↓ 2 callersFunctionget_latest_run
(search_dir='.')
deploy/gui/utils/general.py:182
↓ 2 callersMethodget_maps
(self, nc)
utils/segment/metrics.py:131
↓ 2 callersFunctionget_run_info
(run_path)
deploy/gui/utils/wandb_logging/wandb_utils.py:37
↓ 2 callersFunctionget_run_info
(run_path)
deploy/gui/utils/loggers/wandb/wandb_utils.py:59
↓ 2 callersFunctionget_run_info
(run_path)
utils/loggers/wandb/wandb_utils.py:62
↓ 2 callersFunctiongithub_assets
(repository, version='latest')
utils/downloads.py:66
↓ 2 callersFunctiongsutil_getsize
(url='')
utils/downloads.py:27
↓ 2 callersFunctionimshow_cls
(im, labels=None, pred=None, names=None, nmax=25, verbose=False, f=Path('images.jpg'))
utils/plots.py:447
↓ 2 callersFunctioninit_seeds
(seed=0)
deploy/gui/utils/general.py:167
↓ 2 callersFunctioninitialize_weights
(model)
utils/torch_utils.py:212
↓ 2 callersFunctionintersect_dicts
(da, db, exclude=())
deploy/gui/utils/general.py:177
↓ 2 callersFunctionis_ascii
(s='')
deploy/gui/utils/general.py:207
↓ 2 callersFunctionis_chinese
(s='人工智能')
deploy/gui/utils/general.py:213
↓ 2 callersFunctionis_colab
()
deploy/gui/utils/general.py:193
↓ 2 callersFunctionis_colab
()
utils/general.py:74
↓ 2 callersFunctionis_notebook
()
utils/general.py:79
↓ 2 callersFunctionlabels_to_class_weights
(labels, nc=80)
deploy/gui/utils/general.py:533
↓ 2 callersFunctionlabels_to_image_weights
(labels, nc=80, class_weights=np.ones(80))
deploy/gui/utils/general.py:552
↓ 2 callersMethodload_mosaic
(self, index)
deploy/gui/utils/datasets.py:648
↓ 2 callersMethodload_mosaic
(self, index)
utils/dataloaders.py:749
↓ 2 callersMethodload_mosaic
(self, index)
utils/segment/dataloaders.py:207
↓ 2 callersMethodlog_asset_data
(self, asset, **kwargs)
utils/loggers/comet/__init__.py:202
↓ 2 callersMethodlog_debug_samples
Log files (images) as debug samples in the ClearML task. arguments: files (List(PosixPath)) a list of file paths in PosixPat
utils/loggers/clearml/clearml_utils.py:109
↓ 2 callersMethodlog_model
(self, path, opt, epoch, fitness_score, best_model=False)
utils/loggers/comet/__init__.py:208
↓ 2 callersFunctionlog_tensorboard_graph
(tb, model, imgsz=(640, 640))
utils/loggers/__init__.py:386
↓ 2 callersFunctionmain
(opt, callbacks=Callbacks())
train.py:486
↓ 2 callersFunctionmain
(opt, callbacks=Callbacks())
train_AuxOTA.py:481
↓ 2 callersFunctionmain
(opt)
deploy/gui/train.py:520
↓ 2 callersFunctionmain
(opt, callbacks=Callbacks())
deploy/yolov5_multi-lable/ml_train.py:488
↓ 2 callersFunctionmain
(opt)
classify/train.py:298
↓ 2 callersFunctionmain
(opt, callbacks=Callbacks())
segment/train.py:506
↓ 2 callersFunctionmake_divisible
(x, divisor)
utils/general-softnms.py:667
↓ 2 callersMethodmap_val_table_path
(self)
deploy/gui/utils/wandb_logging/wandb_utils.py:258
↓ 2 callersMethodmap_val_table_path
Map the validation dataset Table like name of file -> it's id in the W&B Table. Useful for - referencing artifacts for evaluation.
deploy/gui/utils/loggers/wandb/wandb_utils.py:381
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