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Functions1,928 in github.com/Gsunshine/Enjoy-Hamburger

⨍ Functions 1,928◇ Types & classes 483↳ Endpoints 1
↓ 1 callersFunctionmain
()
seg_mm/tools/convert_datasets/pascal_context.py:48
↓ 1 callersFunctionmain
()
seg_mm/tools/convert_datasets/drive.py:25
↓ 1 callersFunctionmain
()
seg_mm/tools/convert_datasets/loveda.py:22
↓ 1 callersFunctionmain
()
seg_mm/tools/convert_datasets/isaid.py:166
↓ 1 callersFunctionmain
()
seg_mm/tools/convert_datasets/vaihingen.py:93
↓ 1 callersFunctionmain
()
seg_mm/tools/convert_datasets/voc_aug.py:37
↓ 1 callersFunctionmain
()
seg_mm/tools/convert_datasets/coco_stuff10k.py:244
↓ 1 callersFunctionmain
()
seg_mm/tools/convert_datasets/coco_stuff164k.py:215
↓ 1 callersFunctionmain
()
seg_mm/tools/convert_datasets/hrf.py:35
↓ 1 callersFunctionmain
()
seg_mm/tools/convert_datasets/chase_db1.py:24
↓ 1 callersFunctionmain
()
seg_mm/tools/convert_datasets/stare.py:34
↓ 1 callersFunctionmain
()
seg_mm/tools/convert_datasets/cityscapes.py:26
↓ 1 callersFunctionmain
()
seg_mm/tools/convert_datasets/potsdam.py:100
↓ 1 callersFunctionmain
(args)
seg_mm/tools/torchserve/test_torchserve.py:35
↓ 1 callersMethodmake_layer
Stack InvertedResidual blocks to build a layer for MobileNetV2. Args: out_channels (int): out_channels of block. num_
seg_light_ham/mmseg/models/backbones/mobilenet_v2.py:137
↓ 1 callersMethodmake_layer
Stack InvertedResidual blocks to build a layer for MobileNetV2. Args: out_channels (int): out_channels of block. num_
seg_mm/mmseg/models/backbones/mobilenet_v2.py:137
↓ 1 callersMethodmake_res_layer
Pack all blocks in a stage into a ``ResLayer``.
seg_light_ham/mmseg/models/backbones/resnet.py:582
↓ 1 callersMethodmake_res_layer
Pack all blocks in a stage into a ``ResLayer``.
seg_mm/mmseg/models/backbones/resnet.py:582
↓ 1 callersMethodmake_stage_plugins
make plugins for ResNet 'stage_idx'th stage . Currently we support to insert 'context_block', 'empirical_attention_block', 'nonlocal_
seg_light_ham/mmseg/models/backbones/resnet.py:529
↓ 1 callersMethodmake_stage_plugins
make plugins for ResNet 'stage_idx'th stage . Currently we support to insert 'context_block', 'empirical_attention_block', 'nonlocal_
seg_mm/mmseg/models/backbones/resnet.py:529
↓ 1 callersFunctionmmseg2torchserve
Converts mmsegmentation model (config + checkpoint) to TorchServe `.mar`. Args: config_file: In MMSegmentation config for
seg_light_ham/tools/torchserve/mmseg2torchserve.py:15
↓ 1 callersFunctionmmseg2torchserve
Converts mmsegmentation model (config + checkpoint) to TorchServe `.mar`. Args: config_file: In MMSegmentation config for
seg_mm/tools/torchserve/mmseg2torchserve.py:15
↓ 1 callersMethodnorm0
nn.Module: the normalization layer named "norm0"
seg_light_ham/mmseg/models/backbones/resnest.py:109
↓ 1 callersMethodnorm0
nn.Module: the normalization layer named "norm0"
seg_mm/mmseg/models/backbones/resnest.py:109
↓ 1 callersMethodnorm1
nn.Module: the normalization layer named "norm1"
seg_light_ham/mmseg/models/backbones/resnest.py:114
↓ 1 callersMethodnorm1
(self)
seg_light_ham/mmseg/models/backbones/vit.py:263
↓ 1 callersMethodnorm1
nn.Module: normalization layer after the first convolution layer
seg_light_ham/mmseg/models/backbones/resnet.py:60
↓ 1 callersMethodnorm1
nn.Module: the normalization layer named "norm1"
seg_light_ham/mmseg/models/backbones/resnet.py:587
↓ 1 callersMethodnorm1
nn.Module: the normalization layer named "norm1"
seg_mm/mmseg/models/backbones/resnest.py:114
↓ 1 callersMethodnorm1
(self)
seg_mm/mmseg/models/backbones/vit.py:263
↓ 1 callersMethodnorm1
nn.Module: normalization layer after the first convolution layer
seg_mm/mmseg/models/backbones/resnet.py:60
↓ 1 callersMethodnorm1
nn.Module: the normalization layer named "norm1"
seg_mm/mmseg/models/backbones/resnet.py:587
↓ 1 callersMethodnorm2
nn.Module: normalization layer after the second convolution layer
seg_light_ham/mmseg/models/backbones/resnet.py:65
↓ 1 callersMethodnorm2
nn.Module: normalization layer after the second convolution layer
seg_light_ham/mmseg/models/backbones/resnet.py:258
↓ 1 callersMethodnorm2
nn.Module: normalization layer after the second convolution layer
seg_mm/mmseg/models/backbones/resnet.py:65
↓ 1 callersMethodnorm2
nn.Module: normalization layer after the second convolution layer
seg_mm/mmseg/models/backbones/resnet.py:258
↓ 1 callersMethodonline_update
(self, bases)
seg/HamNet/hamburger/ham.py:112
↓ 1 callersFunctiononnx2tensorrt
(onnx_file: str, trt_file: str, config: dict, input_conf
seg_light_ham/tools/onnx2tensorrt.py:107
↓ 1 callersFunctiononnx2tensorrt
(onnx_file: str, trt_file: str, config: dict, input_conf
seg_mm/tools/onnx2tensorrt.py:107
↓ 1 callersFunctionoptimized_block
Builds optimized residual blocks for downsampling. Compared with block, optimized_block always downsamples the spatial resolution by a factor
gan/HamGAN/discriminator.py:59
↓ 1 callersFunctionpad
(image, label=None)
seg/HamNet/dataset.py:41
↓ 1 callersFunctionpad_inf
(image, label=None)
seg/HamNet/dataset.py:54
↓ 1 callersMethodpam_cls_seg
PAM feature classification.
seg_light_ham/mmseg/models/decode_heads/da_head.py:129
↓ 1 callersMethodpam_cls_seg
PAM feature classification.
seg_mm/mmseg/models/decode_heads/da_head.py:129
↓ 1 callersFunctionparams_count
(model, print_shape=False)
seg/HamNet/train.py:23
↓ 1 callersFunctionparse_args
()
seg_light_ham/train.py:26
↓ 1 callersFunctionparse_args
()
seg_light_ham/test.py:26
↓ 1 callersFunctionparse_args
()
seg_light_ham/tools/train.py:22
↓ 1 callersFunctionparse_args
()
seg_light_ham/tools/onnx2tensorrt.py:193
↓ 1 callersFunctionparse_args
()
seg_light_ham/tools/test.py:24
↓ 1 callersFunctionparse_args
()
seg_light_ham/tools/benchmark.py:17
↓ 1 callersFunctionparse_args
()
seg_light_ham/tools/browse_dataset.py:13
↓ 1 callersFunctionparse_args
()
seg_light_ham/tools/pytorch2onnx.py:286
↓ 1 callersFunctionparse_args
()
seg_light_ham/tools/deploy_test.py:149
↓ 1 callersFunctionparse_args
()
seg_light_ham/tools/analyze_logs.py:71
↓ 1 callersFunctionparse_args
()
seg_light_ham/tools/get_flops.py:14
↓ 1 callersFunctionparse_args
()
seg_light_ham/tools/publish_model.py:8
↓ 1 callersFunctionparse_args
()
seg_light_ham/tools/print_config.py:10
↓ 1 callersFunctionparse_args
()
seg_light_ham/tools/pytorch2torchscript.py:132
↓ 1 callersFunctionparse_args
()
seg_light_ham/tools/convert_datasets/pascal_context.py:38
↓ 1 callersFunctionparse_args
()
seg_light_ham/tools/convert_datasets/drive.py:12
↓ 1 callersFunctionparse_args
()
seg_light_ham/tools/convert_datasets/loveda.py:12
↓ 1 callersFunctionparse_args
()
seg_light_ham/tools/convert_datasets/isaid.py:143
↓ 1 callersFunctionparse_args
()
seg_light_ham/tools/convert_datasets/vaihingen.py:14
↓ 1 callersFunctionparse_args
()
seg_light_ham/tools/convert_datasets/voc_aug.py:25
↓ 1 callersFunctionparse_args
()
seg_light_ham/tools/convert_datasets/coco_stuff10k.py:232
↓ 1 callersFunctionparse_args
()
seg_light_ham/tools/convert_datasets/coco_stuff164k.py:203
↓ 1 callersFunctionparse_args
()
seg_light_ham/tools/convert_datasets/hrf.py:14
↓ 1 callersFunctionparse_args
()
seg_light_ham/tools/convert_datasets/chase_db1.py:14
↓ 1 callersFunctionparse_args
()
seg_light_ham/tools/convert_datasets/stare.py:22
↓ 1 callersFunctionparse_args
()
seg_light_ham/tools/convert_datasets/cityscapes.py:14
↓ 1 callersFunctionparse_args
()
seg_light_ham/tools/convert_datasets/potsdam.py:14
↓ 1 callersFunctionparse_args
()
seg_light_ham/tools/torchserve/mmseg2torchserve.py:71
↓ 1 callersFunctionparse_args
()
seg_light_ham/tools/torchserve/test_torchserve.py:11
↓ 1 callersFunctionparse_args
()
seg_mm/tools/train.py:22
↓ 1 callersFunctionparse_args
()
seg_mm/tools/onnx2tensorrt.py:193
↓ 1 callersFunctionparse_args
()
seg_mm/tools/test.py:24
↓ 1 callersFunctionparse_args
()
seg_mm/tools/benchmark.py:17
↓ 1 callersFunctionparse_args
()
seg_mm/tools/browse_dataset.py:13
↓ 1 callersFunctionparse_args
()
seg_mm/tools/pytorch2onnx.py:286
↓ 1 callersFunctionparse_args
()
seg_mm/tools/deploy_test.py:149
↓ 1 callersFunctionparse_args
()
seg_mm/tools/analyze_logs.py:71
↓ 1 callersFunctionparse_args
()
seg_mm/tools/get_flops.py:10
↓ 1 callersFunctionparse_args
()
seg_mm/tools/publish_model.py:8
↓ 1 callersFunctionparse_args
()
seg_mm/tools/print_config.py:10
↓ 1 callersFunctionparse_args
()
seg_mm/tools/pytorch2torchscript.py:132
↓ 1 callersFunctionparse_args
()
seg_mm/tools/convert_datasets/pascal_context.py:38
↓ 1 callersFunctionparse_args
()
seg_mm/tools/convert_datasets/drive.py:12
↓ 1 callersFunctionparse_args
()
seg_mm/tools/convert_datasets/loveda.py:12
↓ 1 callersFunctionparse_args
()
seg_mm/tools/convert_datasets/isaid.py:143
↓ 1 callersFunctionparse_args
()
seg_mm/tools/convert_datasets/vaihingen.py:14
↓ 1 callersFunctionparse_args
()
seg_mm/tools/convert_datasets/voc_aug.py:25
↓ 1 callersFunctionparse_args
()
seg_mm/tools/convert_datasets/coco_stuff10k.py:232
↓ 1 callersFunctionparse_args
()
seg_mm/tools/convert_datasets/coco_stuff164k.py:203
↓ 1 callersFunctionparse_args
()
seg_mm/tools/convert_datasets/hrf.py:14
↓ 1 callersFunctionparse_args
()
seg_mm/tools/convert_datasets/chase_db1.py:14
↓ 1 callersFunctionparse_args
()
seg_mm/tools/convert_datasets/stare.py:22
↓ 1 callersFunctionparse_args
()
seg_mm/tools/convert_datasets/cityscapes.py:14
↓ 1 callersFunctionparse_args
()
seg_mm/tools/convert_datasets/potsdam.py:14
↓ 1 callersFunctionparse_args
()
seg_mm/tools/torchserve/mmseg2torchserve.py:71
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