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Functions814 in github.com/CVI-SZU/CLIMS

↓ 31 callersFunctioncreate_directory
(path)
previous_version/tools/general/io_utils.py:10
↓ 26 callersMethodpop
(self, key=None)
misc/pyutils.py:40
↓ 22 callersFunctionget_numpy_from_tensor
(tensor)
previous_version/tools/ai/torch_utils.py:81
↓ 16 callersFunctionget_numpy_from_tensor
(tensor)
torch_utils.py:81
↓ 13 callersMethodadd
(self, dict)
misc/pyutils.py:26
↓ 12 callersFunctionread_json
(filepath)
previous_version/tools/general/json_utils.py:6
↓ 12 callersMethodtrain
(self, mode=True)
net/resnet50_cam.py:43
↓ 11 callersMethodstep
(self, closure=None)
misc/torchutils.py:21
↓ 10 callersFunctionwrite_json
(filepath, data)
previous_version/tools/general/json_utils.py:11
↓ 9 callersFunction_float_parameter
(v, max_v)
previous_version/tools/ai/randaugment.py:144
↓ 9 callersFunctionget_dataset
(name)
segmentation/deeplabv2/libs/datasets/__init__.py:5
↓ 9 callersFunctionset_seed
(seed)
previous_version/train_CLIMS.py:89
↓ 8 callersMethod_make_layer
(self, block, planes, blocks, stride=1, dilation=1, norm_layer=None, dropblock_prob=0.0, i
previous_version/core/arch_resnest/resnet.py:233
↓ 8 callersFunction_vgg
(arch, cfg, batch_norm, pretrained, progress, **kwargs)
previous_version/models/vgg.py:87
↓ 8 callersFunctioncolormap
(cam, shape=None, mode=cv2.COLORMAP_JET)
previous_version/tools/ai/demo_utils.py:47
↓ 8 callersFunctiondenormalize
(image, mean=None, std=None, dtype=np.uint8, tp=True)
previous_version/tools/ai/demo_utils.py:27
↓ 8 callersMethodwrite
(self, message)
previous_version/tool/pyutils.py:12
↓ 7 callersMethod__getitem__
(self, index)
previous_version/core/datasets.py:71
↓ 7 callersMethod__getitem__
(self, idx)
previous_version/voc12/data.py:212
↓ 7 callersMethod__init__
(self, loader)
previous_version/core/datasets.py:22
↓ 7 callersMethod__init__
(self, model_name, num_classes=20, mode='fix', segmentation=False)
previous_version/core/networks.py:37
↓ 7 callersMethod__init__
(self, mean=(0.485, 0.456, 0.406), std=(0.229, 0.224, 0.225))
previous_version/voc12/data.py:27
↓ 7 callersMethodstep
(self, closure=None)
previous_version/tool/torchutils.py:21
↓ 7 callersMethodtok
(self, ms = False, clear=False)
previous_version/tools/general/time_utils.py:21
↓ 7 callersMethodtrain
(self, mode=True)
previous_version/core/networks.py:204
↓ 6 callersFunctiondecode_int_filename
(int_filename)
voc12/dataloader.py:28
↓ 6 callersFunctiondenormalize
(image, mean=None, std=None, dtype=np.uint8, tp=True)
demo_utils.py:27
↓ 6 callersMethodflush
(self)
previous_version/tool/pyutils.py:16
↓ 6 callersMethodget
(self)
previous_version/core/datasets.py:29
↓ 6 callersMethodget_stage_elapsed
(self)
misc/pyutils.py:74
↓ 6 callersMethodglobal_average_pooling_2d
(self, x, keepdims=False)
previous_version/core/abc_modules.py:10
↓ 6 callersFunctionload_model
(model, model_path, parallel=False)
previous_version/tools/ai/torch_utils.py:84
↓ 6 callersMethodpop
(self, key=None)
previous_version/tool/pyutils.py:38
↓ 6 callersMethodreset_stage
(self)
misc/pyutils.py:77
↓ 6 callersMethodstr_estimated_complete
(self)
misc/pyutils.py:71
↓ 6 callersMethodtik
(self)
previous_version/tools/general/time_utils.py:18
↓ 6 callersMethodtrainable_parameters
(self)
net/resnet50_cam.py:50
↓ 6 callersMethodupdate_progress
(self, progress)
misc/pyutils.py:64
↓ 5 callersMethod__init__
(self, stride=16, n_classes=20)
net/resnet50_clims.py:11
↓ 5 callersFunction_unsqueeze_ft
add new dementions at the front and the tail
previous_version/core/sync_batchnorm/batchnorm.py:29
↓ 5 callersMethodadd
(self, dict)
previous_version/tool/pyutils.py:26
↓ 5 callersFunctioncalculate_parameters
(model)
previous_version/tools/ai/torch_utils.py:75
↓ 5 callersFunctionget_color_map_dic
()
previous_version/tools/dataset/voc_utils.py:21
↓ 5 callersFunctionget_img_path
(img_name, voc12_root)
previous_version/voc12/data.py:82
↓ 5 callersFunctionget_learning_rate_from_optimizer
(optimizer)
previous_version/tools/ai/torch_utils.py:78
↓ 5 callersFunctionpil_rescale
(img, scale, order)
misc/imutils.py:19
↓ 5 callersFunctionsave_model
(model, model_path, parallel=False)
previous_version/tools/ai/torch_utils.py:90
↓ 4 callersMethod__getitem__
(self, index)
segmentation/deeplabv2/libs/datasets/base.py:106
↓ 4 callersMethod__init__
(self, out_ch)
previous_version/models/resnet_for_deeplab.py:107
↓ 4 callersMethod__init__
(self, stride=16, n_classes=20)
net/resnet50_cam.py:11
↓ 4 callersMethod__init__
(self, out_ch)
segmentation/deeplabv2/libs/models/resnet.py:107
↓ 4 callersMethod__init__
(self, img_name_list_path, voc12_root)
voc12/dataloader.py:344
↓ 4 callersFunction_int_parameter
(v, max_v)
previous_version/tools/ai/randaugment.py:148
↓ 4 callersMethod_make_layer
(self, block, planes, blocks, stride=1, dilation=1)
previous_version/core/arch_resnet/resnet.py:125
↓ 4 callersMethod_make_layer
(self, block, planes, blocks, stride=1)
previous_version/models/resnet.py:114
↓ 4 callersMethod_make_layer
(self, block, planes, blocks, stride=1, dilation=1)
net/resnet50.py:78
↓ 4 callersMethod_make_layer
(self, block, planes, blocks, stride=1, dilation=1)
net/resnet50_v2.py:79
↓ 4 callersFunctionclip_forward
(clip_model, images, labels, dname='coco')
clip_utils.py:76
↓ 4 callersFunctioncolormap
(cam, shape=None, mode=cv2.COLORMAP_JET)
demo_utils.py:47
↓ 4 callersFunctiondo_python_eval
(predict_folder, gt_folder, name_list, num_cls=21)
previous_version/evaluate.py:96
↓ 4 callersFunctionget_img_path
(img_name, voc12_root)
voc12/dataloader.py:55
↓ 4 callersFunctionlog_print
This function shows message and saves message. Args: pred_tags: The type of variable is list. The type of ea
previous_version/tools/ai/log_utils.py:7
↓ 4 callersFunctionmakedirs
(dirs)
segmentation/deeplabv2/main_v2.py:32
↓ 4 callersFunctionmakedirs
(dirs)
segmentation/deeplabv2/main.py:30
↓ 4 callersFunctionscores
(label_trues, label_preds, n_class)
segmentation/deeplabv2/libs/utils/metric.py:16
↓ 4 callersFunctionto_text
(labels, dataset='voc')
previous_version/clip_utils.py:32
↓ 3 callersFunctionCutoutAbs
(img, v, **kwarg)
previous_version/tools/ai/randaugment.py:47
↓ 3 callersMethod__getitem__
(self, idx)
voc12/dataloader.py:376
↓ 3 callersMethod__init__
(self, params, lr, weight_decay, max_step, momentum=0.9)
previous_version/tool/torchutils.py:11
↓ 3 callersMethod__init__
(self)
net/resnet50_irn.py:9
↓ 3 callersFunctionbitget
(byteval, idx)
previous_version/tools/dataset/voc_utils.py:4
↓ 3 callersMethodclear
(self)
previous_version/tools/ai/log_utils.py:48
↓ 3 callersFunctionconv3x3
3x3 convolution with padding
previous_version/models/clip_resnet.py:8
↓ 3 callersFunctioncrf_inference_label
(img, labels, t=10, n_labels=21, gt_prob=0.7)
previous_version/tools/ai/demo_utils.py:105
↓ 3 callersMethodget
(self, *keys)
misc/pyutils.py:33
↓ 3 callersMethodget
(self)
previous_version/core/sync_batchnorm/comm.py:32
↓ 3 callersMethodget_parameter_groups
(self, print_fn=print)
previous_version/models/resnet.py:149
↓ 3 callersFunctionget_params
(model, key)
segmentation/deeplabv2/main_v2.py:49
↓ 3 callersFunctionget_params
(model, key)
segmentation/deeplabv2/main.py:47
↓ 3 callersMethodinitialize
(self, modules)
previous_version/core/deeplab_utils.py:78
↓ 3 callersFunctionload_image_label_list_from_npy
(img_name_list)
previous_version/voc12/data.py:76
↓ 3 callersFunctionload_image_label_list_from_npy
(img_name_list)
voc12/dataloader.py:51
↓ 3 callersFunctionload_img_name_list
(dataset_path)
previous_version/voc12/data.py:86
↓ 3 callersFunctionmake_cam
(x, epsilon=1e-5)
previous_version/tools/ai/torch_utils.py:48
↓ 3 callersFunctionmakedirs
(dirs)
segmentation/deeplabv2/eval.py:25
↓ 3 callersFunctionone_hot_embedding
Embedding labels to one-hot form. Args: labels: (int) class labels. num_classes: (int) number of classes. Returns: (tensor
previous_version/tools/ai/torch_utils.py:59
↓ 3 callersMethodput
(self, result)
previous_version/core/sync_batchnorm/comm.py:26
↓ 3 callersFunctionresize_for_tensors
(tensors, size, mode='bilinear', align_corners=False)
previous_version/tools/ai/torch_utils.py:30
↓ 2 callersFunctionColorCAM
(prob, img)
previous_version/tool/visualization.py:85
↓ 2 callersFunctionColorCLS
(prob, func_label2color)
previous_version/tool/visualization.py:94
↓ 2 callersFunctionDeepLabV2_ResNet101_MSC
(n_classes)
segmentation/deeplabv2/libs/models/__init__.py:33
↓ 2 callersMethod__get_n_pending_works
(self)
previous_version/tool/pyutils.py:100
↓ 2 callersMethod__init__
(self, margin=0)
clip_loss.py:8
↓ 2 callersMethod__init__
(self, margin=0)
previous_version/clip_loss.py:7
↓ 2 callersMethod__init__
(self, output_stride, norm_fn)
previous_version/core/deeplab_utils.py:31
↓ 2 callersMethod__init__
(self, block, layers, radix=1, groups=1, bottleneck_width=64, num_classes=1000, dilated=False
previous_version/core/arch_resnest/resnet.py:154
↓ 2 callersMethod__init__
(self, block, layers, strides=(2, 2, 2, 2), dilations=(1, 1, 1, 1), batch_norm_fn=nn.BatchNorm2d)
previous_version/core/arch_resnet/resnet.py:106
↓ 2 callersMethod__init__
(self, num_classes=20, arch='resnet50', ckpt_path='')
previous_version/models/clip_resnet.py:109
↓ 2 callersMethod__init__
(self, block, layers, stride=None)
previous_version/models/resnet.py:91
↓ 2 callersMethod__init__
(self, year=2012, label_dir=None, **kwargs)
segmentation/deeplabv2/libs/datasets/voc.py:64
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