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Functions1,443 in github.com/WangRongsheng/BestYOLO

⨍ Functions 1,443◇ Types & classes 273↳ Endpoints 2
↓ 1 callersMethodaugment
augment train and test set in YOLOv5 format
deploy/fog_augment/fog_augment.py:25
↓ 1 callersFunctionaugment_hsv
(im, hgain=0.5, sgain=0.5, vgain=0.5)
deploy/gui/utils/augmentations.py:47
↓ 1 callersFunctionautobatch
(model, imgsz=640, fraction=0.9, batch_size=16)
deploy/gui/utils/autobatch.py:22
↓ 1 callersFunctionautobatch
(model, imgsz=640, fraction=0.8, batch_size=16)
utils/autobatch.py:21
↓ 1 callersFunctionautopad
(k, p=None, d=1)
models/ops_dcnv3/modules/dcnv3.py:17
↓ 1 callersFunctionbox_candidates
(box1, box2, wh_thr=2, ar_thr=100, area_thr=0.1, eps=1e-16)
deploy/gui/utils/augmentations.py:272
↓ 1 callersFunctionbox_iou_for_nms
(box1, box2, GIoU=False, DIoU=False, CIoU=False, SIoU=False, EIou=False, eps=1e-7)
utils/general-softnms.py:881
↓ 1 callersMethodbuild_targets
(self, p, targets)
deploy/gui/utils/loss.py:169
↓ 1 callersMethodbuild_targets
(self, p, targets)
utils/loss.py:177
↓ 1 callersMethodbuild_targets
(self, p, targets)
utils/loss_AuxOTA.py:179
↓ 1 callersMethodbuild_targets
(self, p, targets, imgs)
utils/loss_AuxOTA.py:349
↓ 1 callersMethodbuild_targets
(self, p, targets)
utils/loss_OTA.py:174
↓ 1 callersMethodbuild_targets
(self, p, targets, imgs)
utils/loss_OTA.py:319
↓ 1 callersMethodbuild_targets
(self, p, targets)
utils/segment/loss.py:118
↓ 1 callersMethodbuild_targets2
(self, p, targets, imgs)
utils/loss_AuxOTA.py:502
↓ 1 callersFunctionbutter_lowpass
(cutoff, fs, order)
deploy/gui/utils/plots.py:162
↓ 1 callersFunctionbutter_lowpass
(cutoff, fs, order)
utils/plots.py:225
↓ 1 callersMethodcache_labels
(self, path=Path('./labels.cache'), prefix='')
deploy/gui/utils/datasets.py:509
↓ 1 callersMethodcache_labels
(self, path=Path('./labels.cache'), prefix='')
utils/dataloaders.py:605
↓ 1 callersFunctioncheck_backward_equal_with_pytorch_double
(channels=4, grad_input=True, grad_offset=True, grad_mask=True)
models/ops_dcnv3/test.py:93
↓ 1 callersFunctioncheck_backward_equal_with_pytorch_float
(channels=4, grad_input=True, grad_offset=True, grad_mask=True)
models/ops_dcnv3/test.py:156
↓ 1 callersMethodcheck_cache_ram
(self, safety_margin=0.1, prefix='')
utils/dataloaders.py:588
↓ 1 callersMethodcheck_dataset
(self, data_file)
utils/loggers/comet/__init__.py:230
↓ 1 callersFunctioncheck_file
(file, suffix='')
utils/general-softnms.py:461
↓ 1 callersFunctioncheck_font
(font=FONT)
deploy/gui/utils/general.py:386
↓ 1 callersFunctioncheck_font
(font=FONT, progress=False)
utils/general-softnms.py:489
↓ 1 callersFunctioncheck_forward_equal_with_pytorch_double
()
models/ops_dcnv3/test.py:34
↓ 1 callersFunctioncheck_forward_equal_with_pytorch_float
()
models/ops_dcnv3/test.py:64
↓ 1 callersFunctioncheck_pil_font
(font=FONT, size=10)
utils/plots.py:55
↓ 1 callersFunctioncheck_python
(minimum='3.6.2')
deploy/gui/utils/general.py:265
↓ 1 callersFunctioncheck_python
(minimum='3.7.0')
utils/general.py:364
↓ 1 callersFunctioncheck_python
(minimum='3.7.0')
utils/general-softnms.py:365
↓ 1 callersFunctioncheck_requirements
(requirements=ROOT / 'requirements.txt', exclude=(), install=True, cmds='')
utils/general-softnms.py:383
↓ 1 callersFunctioncheck_suffix
(file='yolov5s.pt', suffix=('.pt',), msg='')
utils/general-softnms.py:445
↓ 1 callersFunctioncheck_time_cost
(im2col_step=128)
models/ops_dcnv3/test.py:220
↓ 1 callersFunctioncheck_train_batch_size
(model, imgsz=640)
deploy/gui/utils/autobatch.py:16
↓ 1 callersFunctioncheck_wandb_resume
(opt)
deploy/gui/utils/wandb_logging/wandb_utils.py:46
↓ 1 callersMethodclass_result
(self, i)
utils/segment/metrics.py:168
↓ 1 callersFunctionclassify_albumentations
( augment=True, size=224, scale=(0.08, 1.0), ratio=(0.75, 1.0 / 0.75), # 0.75
utils/augmentations.py:305
↓ 1 callersFunctionclean_str
(s)
deploy/gui/utils/general.py:498
↓ 1 callersFunctionclean_str
(s)
utils/general.py:676
↓ 1 callersFunctionclip_segments
(segments, shape)
utils/general.py:874
↓ 1 callersFunctionclip_segments
(segments, shape)
utils/general-softnms.py:872
↓ 1 callersFunctioncoco80_to_coco91_class
()
deploy/gui/utils/general.py:560
↓ 1 callersFunctioncolorsSwitch
()
deploy/yolov5_tfjs_flask/static/js/yolov5_rt_tfjs.js:56
↓ 1 callersFunctioncompute_ap
Compute the average precision, given the recall and precision curves # Arguments recall: The recall curve (list) precision: Th
deploy/gui/utils/metrics.py:89
↓ 1 callersFunctioncompute_ap
Compute the average precision, given the recall and precision curves # Arguments recall: The recall curve (list) precision: Th
utils/metrics.py:98
↓ 1 callersFunctionconstruct_dataset
Load in a clearml dataset and fill the internal data_dict with its contents.
utils/loggers/clearml/clearml_utils.py:20
↓ 1 callersFunctionconvert
(size, box)
deploy/yolov5_maketools/app.py:31
↓ 1 callersFunctioncopy_paste
(im, labels, segments, p=0.5)
deploy/gui/utils/augmentations.py:213
↓ 1 callersFunctioncreate_dataset_artifact
(opt)
deploy/gui/utils/wandb_logging/log_dataset.py:10
↓ 1 callersFunctioncreate_dataset_artifact
(opt)
deploy/gui/utils/loggers/wandb/log_dataset.py:10
↓ 1 callersFunctioncreate_dataset_artifact
(opt)
utils/loggers/wandb/log_dataset.py:10
↓ 1 callersFunctioncreate_folder
(path='./new')
deploy/gui/utils/datasets.py:813
↓ 1 callersFunctiondate_modified
(path=__file__)
deploy/gui/utils/torch_utils.py:45
↓ 1 callersFunctiondemo_logo
()
deploy/yolov5_maketools/app.py:23
↓ 1 callersFunctiondenormalize
(x, mean=IMAGENET_MEAN, std=IMAGENET_STD)
utils/augmentations.py:60
↓ 1 callersFunctiondetectFrame
(video, model)
deploy/yolov5_tfjs_flask/static/js/yolov5_rt_tfjs.js:166
↓ 1 callersMethoddo_detection
deploy/yolov5_TensorRT/src/yolov5.cpp:150
↓ 1 callersFunctiondownload
(url, dir='.', unzip=True, delete=True, curl=False, threads=1)
deploy/gui/utils/general.py:457
↓ 1 callersFunctiondownload
(url, dir='.', unzip=True, delete=True, curl=False, threads=1, retry=3)
utils/general-softnms.py:621
↓ 1 callersMethoddownload_dataset_artifact
(self, artifact_path)
utils/loggers/comet/__init__.py:348
↓ 1 callersMethoddownload_model_artifact
(self, opt)
deploy/gui/utils/wandb_logging/wandb_utils.py:201
↓ 1 callersMethoddownload_model_artifact
download the model checkpoint artifact if the resume path starts with WANDB_ARTIFACT_PREFIX arguments: opt (namespace) -- Co
deploy/gui/utils/loggers/wandb/wandb_utils.py:282
↓ 1 callersMethoddownload_model_artifact
download the model checkpoint artifact if the resume path starts with WANDB_ARTIFACT_PREFIX arguments: opt (namespace) -- Co
utils/loggers/wandb/wandb_utils.py:292
↓ 1 callersMethodend_epoch
(self, best_result=False)
deploy/gui/utils/wandb_logging/wandb_utils.py:337
↓ 1 callersMethodend_epoch
commit the log_dict, model artifacts and Tables to W&B and flush the log_dict. arguments: best_result (boolean): Boolean rep
deploy/gui/utils/loggers/wandb/wandb_utils.py:507
↓ 1 callersMethodend_epoch
commit the log_dict, model artifacts and Tables to W&B and flush the log_dict. arguments: best_result (boolean): Boolean rep
utils/loggers/wandb/wandb_utils.py:531
↓ 1 callersFunctionexif_size
(img)
deploy/gui/utils/datasets.py:53
↓ 1 callersFunctionexif_size
(img)
utils/dataloaders.py:60
↓ 1 callersFunctionexist_folder
(img_path, ann_path)
deploy/yolov5_maketools/app.py:15
↓ 1 callersFunctionexport_coreml
(model, im, file, int8, half, prefix=colorstr('CoreML:'))
export.py:219
↓ 1 callersFunctionexport_edgetpu
(file, prefix=colorstr('Edge TPU:'))
export.py:404
↓ 1 callersFunctionexport_engine
(model, im, file, half, dynamic, simplify, workspace=4, verbose=False, prefix=colorstr('TensorRT:'))
export.py:242
↓ 1 callersFunctionexport_openvino
(file, metadata, half, prefix=colorstr('OpenVINO:'))
export.py:189
↓ 1 callersFunctionexport_paddle
(model, im, file, metadata, prefix=colorstr('PaddlePaddle:'))
export.py:204
↓ 1 callersFunctionexport_pb
(keras_model, file, prefix=colorstr('TensorFlow GraphDef:'))
export.py:356
↓ 1 callersFunctionexport_saved_model
(model, im, file, dynamic,
export.py:304
↓ 1 callersFunctionexport_tfjs
(file, prefix=colorstr('TensorFlow.js:'))
export.py:429
↓ 1 callersFunctionexport_tflite
(keras_model, im, file, int8, data, nms, agnostic_nms, prefix=colorstr('TensorFlow Lite:'))
export.py:373
↓ 1 callersFunctionexport_torchscript
(model, im, file, optimize, prefix=colorstr('TorchScript:'))
export.py:117
↓ 1 callersFunctionfeature_visualization
x: Features to be visualized module_type: Module type stage: Module stage within model n: Maxim
deploy/gui/utils/plots.py:121
↓ 1 callersFunctionfile_date
(path=__file__)
utils/general.py:276
↓ 1 callersMethodfind_3_positive
(self, p, targets)
utils/loss_AuxOTA.py:708
↓ 1 callersMethodfind_3_positive
(self, p, targets)
utils/loss_OTA.py:471
↓ 1 callersMethodfind_5_positive
(self, p, targets)
utils/loss_AuxOTA.py:655
↓ 1 callersMethodfinish_run
(self)
deploy/gui/utils/wandb_logging/wandb_utils.py:354
↓ 1 callersMethodfinish_run
Log metrics if any and finish the current W&B run
deploy/gui/utils/loggers/wandb/wandb_utils.py:539
↓ 1 callersMethodfogging_dir
fogging images in a directory :param sp: str, source dir path :param tp: str, target dir path, tp is fogged_{sp} by default
deploy/fog_augment/synthetic_fog.py:45
↓ 1 callersMethodforward
(self, x, augment=False, profile=False, visualize=False)
deploy/gui/models/yolo.py:123
↓ 1 callersMethodforward
(self, x)
deploy/gui/models/common.py:138
↓ 1 callersMethodforward
(self, im, augment=False, visualize=False, val=False)
deploy/gui/models/common.py:398
↓ 1 callersMethodforward
(self, x)
models/common.py:171
↓ 1 callersMethodforward
(self, im, augment=False, visualize=False)
models/common.py:510
↓ 1 callersMethodfuse
(self)
deploy/gui/models/yolo.py:218
↓ 1 callersMethodfuse
(self)
models/yolo_AuxOTA.py:145
↓ 1 callersFunctionfuse_conv_and_bn
(conv, bn)
deploy/gui/utils/torch_utils.py:207
↓ 1 callersFunctionget_args
(known=False)
utils/loggers/comet/hpo.py:27
↓ 1 callersFunctionget_default_args
(func)
utils/general.py:258
↓ 1 callersFunctionget_extensions
()
models/ops_dcnv3/setup.py:22
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