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Functions814 in github.com/CVI-SZU/CLIMS

⨍ Functions 814◇ Types & classes 181↳ Endpoints 2

Functionmodel_info

(model, log_func=print)

Functionmouse_event

(event, x, y, flags, labelmap)

segmentation/deeplabv2/demo.py:234

Functionmy_collate

previous_version/voc12/data.py:258

Functionnew_replicate

(module, device_ids)

previous_version/core/sync_batchnorm/replicate.py:83

Functionnormalize

(cam, epsilon=1e-5)

demo_utils.py:70

Functionnormalize

(cam, epsilon=1e-5)

previous_version/tools/ai/demo_utils.py:70

Methodnr_slaves

previous_version/core/sync_batchnorm/comm.py:128

Functionone_hot_embedding

Embedding labels to one-hot form. Args: labels: (int) class labels. num_classes: (int) number of classes. Returns: (tensor

torch_utils.py:59

Functionpatch_replication_callback

Monkey-patch an existing `DataParallel` object. Add the replication callback. Useful when you have customized `DataParallel` implementation.

previous_version/core/sync_batchnorm/replicate.py:65

Functionpil_loader

path: the path to image

Functionpil_loader

path: the path to image

previous_version/imutils.py:18

Methodpop_results

previous_version/tool/pyutils.py:106

Functionprocess

segmentation/deeplabv2/eval.py:191

Functionprocess

segmentation/deeplabv2/main_v2.py:488

Functionprocess

segmentation/deeplabv2/main.py:472

Functionpropagate_to_edge

(x, edge, radius=5, beta=10, exp_times=8)

misc/indexing.py:141

Functionpuzzle_module

(x, func_list, num_pieces)

previous_version/core/puzzle_utils.py:62

Functionrandom_crop

(images, cropsize, default_values)

misc/imutils.py:93

Functionrandom_crop

(images, cropsize, fills)

previous_version/tool/imutils.py:103

Functionrandom_lr_flip

misc/imutils.py:57

Functionrandom_resize_long

(img, min_long, max_long)

misc/imutils.py:25

Functionrandom_scale

(img, scale_range, order)

misc/imutils.py:48

Functionread_txt

previous_version/tools/general/txt_utils.py:4

Methodreplicate

(self, module, device_ids)

previous_version/core/sync_batchnorm/replicate.py:59

Methodreset_stage

previous_version/tool/pyutils.py:70

Functionresize_for_tensors

(tensors, size, mode='bilinear', align_corners=False)

torch_utils.py:30

Functionresize_short

(img, target_short)

misc/imutils.py:37

Functionresnest101

(pretrained=False, root='~/.encoding/models', **kwargs)

previous_version/core/arch_resnest/resnest.py:43

Functionresnest200

(pretrained=False, root='~/.encoding/models', **kwargs)

previous_version/core/arch_resnest/resnest.py:53

Functionresnest269

(pretrained=False, root='~/.encoding/models', **kwargs)

previous_version/core/arch_resnest/resnest.py:63

Functionresnest50

(pretrained=False, root='~/.encoding/models', **kwargs)

previous_version/core/arch_resnest/resnest.py:33

Functionresnet50

(pretrained=True, **kwargs)

net/resnet50.py:112

Functionresnet50

(pretrained=True, **kwargs)

net/resnet50_v2.py:113

Functionrotation

torch_utils.py:19

Functionrotation

previous_version/tools/ai/torch_utils.py:19

step_coco/make_cam.py:68

step_coco/eval_sem_seg.py:8

step_coco/train_irn.py:12

step_coco/make_sem_seg_labels.py:68

step_coco/cam_to_ir_label.py:61

step_coco/train_cam.py:41

step_coco/eval_cam.py:16

step_coco/make_clims.py:137

step_coco/train_clims.py:53

step/make_cam.py:57

step/eval_sem_seg.py:8

step/train_irn.py:11

step/make_sem_seg_labels.py:64

step/cam_to_ir_label.py:56

step/train_cam.py:42

step/eval_cam.py:16

step/make_clims.py:127

step/train_clims.py:61

Functionsave_colormap

x(image): shape likes (H, W) am(activation map): activation map (H/f, W/f) save_dir: -- fn(file name): (1,)

Functionsave_colormap

x(image): shape likes (H, W) am(activation map): activation map (H/f, W/f) save_dir: -- fn(file name): (1,)

previous_version/imutils.py:80

Functionsave_model

(model, model_path, parallel=False)

torch_utils.py:90

Functionsave_tensor_as_grid_image

(x, save_dir, fn=None)

Functionsave_tensor_as_grid_image

(x, save_dir, fn=None)

previous_version/imutils.py:91

Functionsave_tensor_as_image

x: (N, 3, H, W) save_dir: -- fn: (N,)

Functionsave_tensor_as_image

x: (N, 3, H, W) save_dir: -- fn: (N,)

previous_version/imutils.py:49

Functionset_seed

torch_utils.py:11

Functionset_seed

previous_version/tools/ai/torch_utils.py:11

Functionshannon_entropy_loss

(logits, activation=torch.sigmoid, epsilon=1e-5)

torch_utils.py:44

Functionshannon_entropy_loss

(logits, activation=torch.sigmoid, epsilon=1e-5)

previous_version/tools/ai/torch_utils.py:44

Inference from a single image

segmentation/deeplabv2/demo.py:135

Functionsingle_activation_map_visualization

(step, images, cams, labels, save_path, phase='train', gt_masks=None, cam_actmaps=None)

Functionsingle_activation_map_visualization

(step, images, cams, labels, save_path, phase='train', gt_masks=None, cam_actmaps=None)

previous_version/utils.py:289

Functionsplit_dataset

(dataset, n_splits)

misc/torchutils.py:66

(self, closure=None)

misc/torchutils.py:48

(self, closure=None)

previous_version/tools/ai/optim_utils.py:14

(self, closure=None)

previous_version/tool/torchutils.py:46

Functionstr2bool

run_sample_coco.py:25

Functionstr2bool

run_sample.py:25

Functionstr2bool

previous_version/tools/general/io_utils.py:15

Methodstr_est_finish

previous_version/tool/pyutils.py:64

Evaluation on validation set

segmentation/deeplabv2/main_v2.py:321

Evaluation on validation set

segmentation/deeplabv2/main.py:305

Methodto_affinity

net/resnet50_aff.py:106

Functionto_one_hot

(sparse_integers, maximum_val=None, dtype=np.bool)

misc/pyutils.py:86

Functiontop_left_crop

(img, cropsize, default_value)

misc/imutils.py:116

Training DeepLab by v2 protocol

segmentation/deeplabv2/main_v2.py:121

Training DeepLab by v2 protocol

segmentation/deeplabv2/main.py:105

(self, mode=True)

net/resnet50_irn.py:139

(self, mode=True)

net/resnet50_aff.py:86

(self, mode=True)

net/resnet50_clims.py:113

Methodtrainable_parameters

net/resnet50_irn.py:135

Methodtrainable_parameters

net/resnet50_aff.py:82

Methodtrainable_parameters

net/resnet50_clims.py:51

Methodtrainable_parameters

net/resnet50_clims.py:120

Functiontransfer_model

(pretrained_model, model)

torch_utils.py:96

Functiontransfer_model

(pretrained_model, model)

previous_version/tools/ai/torch_utils.py:96

Methodupdate_progress

(self, progress)

previous_version/tool/pyutils.py:57

Functionvalidate

(model, data_loader)

step_coco/train_clims.py:28

Functionvalidate

(model, data_loader)

step/train_clims.py:20

r"""VGG 11-layer model (configuration "A") from `"Very Deep Convolutional Networks For Large-Scale Image Recognition" <https://arxiv.org/pdf/1409.

previous_version/models/vgg.py:97

Functionvgg11_bn

r"""VGG 11-layer model (configuration "A") with batch normalization `"Very Deep Convolutional Networks For Large-Scale Image Recognition" <https:/

previous_version/models/vgg.py:108

r"""VGG 13-layer model (configuration "B") `"Very Deep Convolutional Networks For Large-Scale Image Recognition" <https://arxiv.org/pdf/1409.1556.

previous_version/models/vgg.py:119

Functionvgg13_bn

r"""VGG 13-layer model (configuration "B") with batch normalization `"Very Deep Convolutional Networks For Large-Scale Image Recognition" <https:/

previous_version/models/vgg.py:130

r"""VGG 16-layer model (configuration "D") `"Very Deep Convolutional Networks For Large-Scale Image Recognition" <https://arxiv.org/pdf/1409.1556.

previous_version/models/vgg.py:141

Functionvgg16_bn

r"""VGG 16-layer model (configuration "D") with batch normalization `"Very Deep Convolutional Networks For Large-Scale Image Recognition" <https:/

previous_version/models/vgg.py:152

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