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Functions216 in github.com/IgaoGuru/Sequoia

⨍ Functions 216◇ Types & classes 41
Method__init__
(self, c1, c2, k=1, s=1, p=None, g=1, act=True)
models/common.py:27
Method__init__
(self, c1, c2, shortcut=True, g=1, e=0.5)
models/common.py:42
Method__init__
(self, c1, c2, n=1, shortcut=True, g=1, e=0.5)
models/common.py:55
Method__init__
(self, c1, c2, k=1, s=1, p=None, g=1, act=True)
models/common.py:88
Method__init__
(self, dimension=1)
models/common.py:98
Method__init__
(self)
models/common.py:112
Method__init__
(self, model)
models/common.py:126
Method__init__
(self, c1, c2, k=1, s=1, p=None, g=1)
models/common.py:180
Method__init__
(self, c1, c2, k=3, s=1, g=1, e=1.0, shortcut=False)
models/experimental.py:13
Method__init__
(self, n, weight=False)
models/experimental.py:46
Method__init__
(self, c1, c2, k=1, s=1, g=1, act=True)
models/experimental.py:67
Method__init__
(self, c1, c2, k, s)
models/experimental.py:80
Method__init__
(self, c1, c2, k=(1, 3), s=1, equal_ch=True)
models/experimental.py:95
Method__init__
(self)
models/experimental.py:118
Method__iter__
(self)
utils/datasets.py:89
Method__iter__
(self)
utils/datasets.py:104
Method__iter__
(self)
utils/datasets.py:212
Method__iter__
(self)
utils/datasets.py:301
Method__len__
(self)
datasetcsgo.py:109
Method__len__
(self)
utils/datasets.py:86
Method__len__
(self)
utils/datasets.py:186
Method__len__
(self)
utils/datasets.py:251
Method__len__
(self)
utils/datasets.py:324
Method__len__
(self)
utils/datasets.py:508
Method__next__
(self)
utils/datasets.py:142
Method__next__
(self)
utils/datasets.py:216
Method__next__
(self)
utils/datasets.py:305
Method__str__
(self)
datasetcsgo.py:112
Method_print_biases
(self)
models/yolo.py:153
Functionap_per_class
Compute the average precision, given the recall and precision curves. Source: https://github.com/rafaelpadilla/Object-Detection-Metrics. # Ar
utils/general.py:250
Functionapply_classifier
(x, model, img, im0)
utils/general.py:891
Methodautoshape
(self)
models/yolo.py:188
Methodbackward
(ctx, grad_output)
utils/activations.py:28
Functionbutter_lowpass_filtfilt
(data, cutoff=1500, fs=50000, order=5)
utils/general.py:977
Functioncheck_anchors
(dataset, model, thr=4.0, imgsz=640)
utils/general.py:85
Functioncheck_dataset
(dict)
utils/general.py:141
Functioncheck_git_status
()
utils/general.py:69
Functioncoco80_to_coco91_class
()
utils/general.py:194
Functioncoco_class_count
(path='../coco/labels/train2014/')
utils/general.py:696
Functioncoco_only_people
(path='../coco/labels/train2017/')
utils/general.py:707
Functioncoco_single_class_labels
(path='../coco/labels/train2014/', label_class=43)
utils/general.py:739
Methodcollate_fn
(batch)
utils/datasets.py:602
Functioncompute_loss
(p, targets, model)
utils/general.py:480
Functioncreate_dataloader
(path, imgsz, batch_size, stride, opt, hyp=None, augment=False, cache=False, pad=0.0, rect=False,
utils/datasets.py:49
Functioncrop_images_random
(path='../images/', scale=0.50)
utils/general.py:716
Functioncutout
(image, labels)
utils/datasets.py:849
Functiondetect
Manage all aspects of inference for both networks (yolo and light). Args: img (numpy.ndarray): image to be processed. save_path (
yolo_source.py:42
Functionfind_modules
(model, mclass=nn.Conv2d)
utils/torch_utils.py:81
Methodforward
(self, x)
light_classifier.py:45
Methodforward
(self, x)
light_classifier.py:88
Methodforward
(self, x)
light_classifier.py:130
Methodforward
(self, pred, true)
utils/general.py:438
Methodforward
(self, pred, true)
utils/general.py:470
Methodforward
(x)
utils/activations.py:9
Methodforward
(x)
utils/activations.py:15
Methodforward
(ctx, x)
utils/activations.py:23
Methodforward
(self, x)
utils/activations.py:33
Methodforward
(x)
utils/activations.py:40
Methodforward
(ctx, x)
utils/activations.py:47
Methodforward
(self, x)
utils/activations.py:58
Methodforward
(self, x)
utils/activations.py:69
Methodforward
(self, x)
models/yolo.py:38
Methodforward
(self, x)
models/common.py:33
Methodforward
(self, x)
models/common.py:49
Methodforward
(self, x)
models/common.py:66
Methodforward
(self, x)
models/common.py:81
Methodforward
(self, x)
models/common.py:92
Methodforward
(self, x)
models/common.py:102
Methodforward
(self, x)
models/common.py:115
Methodforward
(self, x, size=640, augment=False, profile=False)
models/common.py:130
Methodforward
(x)
models/common.py:174
Methodforward
(self, x)
models/common.py:186
Methodforward
(self, x)
models/experimental.py:21
Methodforward
(self, x)
models/experimental.py:38
Methodforward
(self, x)
models/experimental.py:53
Methodforward
(self, x)
models/experimental.py:73
Methodforward
(self, x)
models/experimental.py:89
Methodforward
(self, x)
models/experimental.py:113
Methodforward
(self, x, augment=False)
models/experimental.py:121
Methodfuseforward
(self, x)
models/common.py:36
Functiongdrive_download
(id='1n_oKgR81BJtqk75b00eAjdv03qVCQn2f', name='coco128.zip')
utils/google_utils.py:56
Functionget_latest_run
(search_dir='./runs')
utils/general.py:63
Functionimagelist2folder
(path='path/images.txt')
utils/datasets.py:932
Methodimg2label_paths
(img_paths)
utils/datasets.py:340
Functionincrement_dir
(dir, comment='')
utils/general.py:954
Functioninit_seeds
(seed=0)
utils/general.py:57
Functioninit_weights
(m)
light_classifier_train.py:83
Functioninit_weights
(m)
findmeanstd.py:74
Functionintersect_dicts
(da, db, exclude=())
utils/torch_utils.py:64
Functionlabels_to_class_weights
(labels, nc=80)
utils/general.py:166
Functionlabels_to_image_weights
(labels, nc=80, class_weights=np.ones(80))
utils/general.py:185
Functionload_classifier
(name='resnet101', n=2)
utils/torch_utils.py:153
Functionload_yolo_weights
(load_path)
yolo_source.py:35
Functionmy_collate_2
(batch)
light_classifier_train.py:105
Functionmy_collate_2
(batch)
findmeanstd.py:93
Functionoutput_to_target
(output, width, height)
utils/general.py:932
Functionplot_evolution
(yaml_file='data/hyp.finetune.yaml')
utils/general.py:1217
Functionplot_images
(images, targets, paths=None, fname='images.jpg', names=None, max_size=640, max_subplots=16)
utils/general.py:1024
Functionplot_labels
(labels, save_dir='')
utils/general.py:1185
Functionplot_lr_scheduler
(optimizer, scheduler, epochs=300, save_dir='')
utils/general.py:1106
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