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Functions172 in github.com/TNTWEN/Pruned-OpenVINO-YOLO

⨍ Functions 172◇ Types & classes 22
Method__init__
(self, loss_fcn, gamma=1.5, alpha=0.25)
Pruneyolov3v4/utils/utils.py:320
Method__init__
(self, path, img_size=416)
Pruneyolov3v4/utils/datasets.py:45
Method__init__
(self, pipe=0, img_size=416)
Pruneyolov3v4/utils/datasets.py:122
Method__init__
(self, sources='streams.txt', img_size=416)
Pruneyolov3v4/utils/datasets.py:187
Method__init__
(self, path, img_size=416, batch_size=16, augment=False, hyp=None, rect=False, image_weights=False,
Pruneyolov3v4/utils/datasets.py:260
Method__init__
(self, params, lr=1e-3, betas=(0.9, 0.999), final_lr=0.1, gamma=1e-3, eps=1e-8, weight_decay=
Pruneyolov3v4/utils/adabound.py:141
Method__iter__
(self)
Pruneyolov3v4/utils/datasets.py:69
Method__iter__
(self)
Pruneyolov3v4/utils/datasets.py:143
Method__iter__
(self)
Pruneyolov3v4/utils/datasets.py:232
Method__len__
(self)
Pruneyolov3v4/utils/datasets.py:117
Method__len__
(self)
Pruneyolov3v4/utils/datasets.py:182
Method__len__
(self)
Pruneyolov3v4/utils/datasets.py:255
Method__len__
(self)
Pruneyolov3v4/utils/datasets.py:430
Method__next__
(self)
Pruneyolov3v4/utils/datasets.py:73
Method__next__
(self)
Pruneyolov3v4/utils/datasets.py:147
Method__next__
(self)
Pruneyolov3v4/utils/datasets.py:236
Method__setstate__
(self, state)
Pruneyolov3v4/utils/adabound.py:161
Methodbackward
(ctx, grad_output)
Pruneyolov3v4/utils/layers.py:111
Functioncoco_class_count
(path='../coco/labels/train2014/')
Pruneyolov3v4/utils/utils.py:600
Functioncoco_only_people
(path='../coco/labels/train2017/')
Pruneyolov3v4/utils/utils.py:611
Functioncoco_single_class_labels
(path='../coco/labels/train2014/', label_class=43)
Pruneyolov3v4/utils/utils.py:643
Methodcollate_fn
(batch)
Pruneyolov3v4/utils/datasets.py:520
Functionconvert
(cfg='cfg/yolov3-spp.cfg', weights='weights/yolov3-spp.weights')
Pruneyolov3v4/models.py:446
Functionconvert_images2bmp
()
Pruneyolov3v4/utils/datasets.py:788
Functioncreate_backbone
(f='weights/best.pt')
Pruneyolov3v4/utils/utils.py:587
Functioncrop_images_random
(path='../images/', scale=0.50)
Pruneyolov3v4/utils/utils.py:620
Functioncutout
(image, labels)
Pruneyolov3v4/utils/datasets.py:723
Functiondownload_blob
(bucket_name, source_blob_name, destination_file_name)
Pruneyolov3v4/utils/google_utils.py:62
Functionfind_modules
(model, mclass=nn.Conv2d)
Pruneyolov3v4/utils/torch_utils.py:65
Methodforward
(self, p, out)
Pruneyolov3v4/models.py:178
Methodforward
(self, x, augment=False, verbose=False)
Pruneyolov3v4/models.py:263
Methodforward
(self, x)
Pruneyolov3v4/utils/layers.py:14
Methodforward
(self, x)
Pruneyolov3v4/utils/layers.py:24
Methodforward
(self, x, outputs)
Pruneyolov3v4/utils/layers.py:35
Methodforward
(self, x, outputs)
Pruneyolov3v4/utils/layers.py:52
Methodforward
(self, x)
Pruneyolov3v4/utils/layers.py:99
Methodforward
(ctx, x)
Pruneyolov3v4/utils/layers.py:106
Methodforward
(ctx, x)
Pruneyolov3v4/utils/layers.py:119
Methodforward
(self, x)
Pruneyolov3v4/utils/layers.py:132
Methodforward
(self, x)
Pruneyolov3v4/utils/layers.py:137
Methodforward
(self, x)
Pruneyolov3v4/utils/layers.py:142
Methodforward
(self, x)
Pruneyolov3v4/utils/layers.py:147
Methodforward
(self, pred, true)
Pruneyolov3v4/utils/utils.py:328
Functionfuse_conv_and_bn
(conv, bn)
Pruneyolov3v4/utils/torch_utils.py:70
Functionget_mask
(model, prune_idx, shortcut_idx)
Pruneyolov3v4/utils/prune_utils.py:405
Functionget_mask2
(model, prune_idx, percent)
Pruneyolov3v4/utils/prune_utils.py:431
Functionget_yolo_layers
(model)
Pruneyolov3v4/utils/utils.py:555
Functionimagelist2folder
(path='data/coco_64img.txt')
Pruneyolov3v4/utils/datasets.py:832
Functioninit_seeds
(seed=0)
Pruneyolov3v4/utils/torch_utils.py:12
Functioninitialize_weights
(model)
Pruneyolov3v4/utils/torch_utils.py:53
Functionkmean_anchors
(path='./data/coco64.txt', n=9, img_size=(640, 640), thr=0.20, gen=1000)
Pruneyolov3v4/utils/utils.py:665
Functionload_classifier
(name='resnet101', n=2)
Pruneyolov3v4/utils/torch_utils.py:118
Functionmake_divisible
(v, divisor)
Pruneyolov3v4/utils/layers.py:6
Functionmodel_info
(model, verbose=False)
Pruneyolov3v4/utils/torch_utils.py:97
Functionobtain_quantiles
(bn_weights, num_quantile=5)
Pruneyolov3v4/utils/prune_utils.py:182
Functionplot_evolution_results
(hyp)
Pruneyolov3v4/utils/utils.py:1010
Functionplot_labels
(labels)
Pruneyolov3v4/utils/utils.py:986
Functionplot_lr_scheduler
(optimizer, scheduler, epochs=300)
Pruneyolov3v4/utils/utils.py:942
Functionplot_results_overlay
(start=0, stop=0)
Pruneyolov3v4/utils/utils.py:1029
Functionplot_targets_txt
()
Pruneyolov3v4/utils/utils.py:973
Functionplot_test_txt
()
Pruneyolov3v4/utils/utils.py:956
Functionplot_wh_methods
()
Pruneyolov3v4/utils/utils.py:839
Functionprint_model_biases
(model)
Pruneyolov3v4/utils/utils.py:560
Functionprune_model_keep_size
(model, prune_idx, CBL_idx, CBLidx2mask)
Pruneyolov3v4/utils/prune_utils.py:279
Functionrecursive_dataset2bmp
(dataset='../data/sm4_bmp')
Pruneyolov3v4/utils/datasets.py:812
Functionreduce_img_size
(path='../data/sm4/images', img_size=1024)
Pruneyolov3v4/utils/datasets.py:771
Functionscale_img
(img, ratio=1.0, same_shape=True)
Pruneyolov3v4/utils/torch_utils.py:135
Functionselect_device
(device='', apex=False, batch_size=None)
Pruneyolov3v4/utils/torch_utils.py:21
Methodstep
Performs a single optimization step. Arguments: closure (callable, optional): A closure that reevaluates the model
Pruneyolov3v4/utils/adabound.py:166
Functiontime_synchronized
()
Pruneyolov3v4/utils/torch_utils.py:48
Methodupdate
(self, index, cap)
Pruneyolov3v4/utils/datasets.py:220
Functionupload_blob
(bucket_name, source_file_name, destination_blob_name)
Pruneyolov3v4/utils/google_utils.py:47
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