pytorch-image-models

Remove min channels for SelectiveKernel, divisor should cover cases well enough.

2021-05-31 15:38:56 -07:00

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__init__.py

Add Gather-Excite and Global Context attn modules. Refactor existing SE-like attn for consistency and refactor byob/byoanet for less redundancy.

2021-05-27 18:03:29 -07:00

byoanet.py

Add Gather-Excite and Global Context attn modules. Refactor existing SE-like attn for consistency and refactor byob/byoanet for less redundancy.

2021-05-27 18:03:29 -07:00

byobnet.py

Add non-local and BAT attention. Merge attn and self-attn factories into one. Add attention references to README. Add mlp 'mode' to ECA.

2021-05-31 13:18:11 -07:00

cait.py

Expand scope of testing for non-std vision transformer / mlp models. Some related cleanup and create fn cleanup for all vision transformer and mlp models. More CoaT weights.

2021-05-24 21:13:26 -07:00

coat.py

Expand scope of testing for non-std vision transformer / mlp models. Some related cleanup and create fn cleanup for all vision transformer and mlp models. More CoaT weights.

2021-05-24 21:13:26 -07:00

convit.py

Expand scope of testing for non-std vision transformer / mlp models. Some related cleanup and create fn cleanup for all vision transformer and mlp models. More CoaT weights.

2021-05-24 21:13:26 -07:00

cspnet.py

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densenet.py

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dla.py

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dpn.py

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efficientnet_blocks.py

Bring EfficientNet SE layer in line with others, pull se_ratio outside of blocks. Allows swapping w/ other attn layers.

2021-05-29 23:41:38 -07:00

efficientnet_builder.py

Able to use other attn layer in EfficientNet now. Create test ECA + GC B0 configs. Make ECA more configurable.

2021-05-30 12:47:02 -07:00

efficientnet.py

Add non-local and BAT attention. Merge attn and self-attn factories into one. Add attention references to README. Add mlp 'mode' to ECA.

2021-05-31 13:18:11 -07:00

factory.py

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features.py

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ghostnet.py

Bring EfficientNet SE layer in line with others, pull se_ratio outside of blocks. Allows swapping w/ other attn layers.

2021-05-29 23:41:38 -07:00

gluon_resnet.py

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gluon_xception.py

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hardcorenas.py

Bring EfficientNet SE layer in line with others, pull se_ratio outside of blocks. Allows swapping w/ other attn layers.

2021-05-29 23:41:38 -07:00

helpers.py

Fix strict flag change for checkpoint load.

2021-05-28 09:54:50 -07:00

hrnet.py

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hub.py

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inception_resnet_v2.py

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inception_v3.py

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inception_v4.py

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levit.py

Fix #661 , move hardswish out of default args for LeViT. Enable native torch support for hardswish, hardsigmoid, mish if present.

2021-05-26 15:28:42 -07:00

mlp_mixer.py

Expand scope of testing for non-std vision transformer / mlp models. Some related cleanup and create fn cleanup for all vision transformer and mlp models. More CoaT weights.

2021-05-24 21:13:26 -07:00

mobilenetv3.py

Bring EfficientNet SE layer in line with others, pull se_ratio outside of blocks. Allows swapping w/ other attn layers.

2021-05-29 23:41:38 -07:00

nasnet.py

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nfnet.py

Add Gather-Excite and Global Context attn modules. Refactor existing SE-like attn for consistency and refactor byob/byoanet for less redundancy.

2021-05-27 18:03:29 -07:00

pit.py

Expand scope of testing for non-std vision transformer / mlp models. Some related cleanup and create fn cleanup for all vision transformer and mlp models. More CoaT weights.

2021-05-24 21:13:26 -07:00

pnasnet.py

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registry.py

Filter test models before creation for backward/torchscript tests

2021-05-25 10:14:45 -07:00

regnet.py

Add Gather-Excite and Global Context attn modules. Refactor existing SE-like attn for consistency and refactor byob/byoanet for less redundancy.

2021-05-27 18:03:29 -07:00

res2net.py

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resnest.py

Add non-local and BAT attention. Merge attn and self-attn factories into one. Add attention references to README. Add mlp 'mode' to ECA.

2021-05-31 13:18:11 -07:00

resnet.py

Add Gather-Excite and Global Context attn modules. Refactor existing SE-like attn for consistency and refactor byob/byoanet for less redundancy.

2021-05-27 18:03:29 -07:00

resnetv2.py

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rexnet.py

Fix stochastic depth working only with a shortcut

2021-06-07 23:08:55 +09:00

selecsls.py

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senet.py

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sknet.py

Remove min channels for SelectiveKernel, divisor should cover cases well enough.

2021-05-31 15:38:56 -07:00

swin_transformer.py

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tnt.py

Expand scope of testing for non-std vision transformer / mlp models. Some related cleanup and create fn cleanup for all vision transformer and mlp models. More CoaT weights.

2021-05-24 21:13:26 -07:00

tresnet.py

Add Gather-Excite and Global Context attn modules. Refactor existing SE-like attn for consistency and refactor byob/byoanet for less redundancy.

2021-05-27 18:03:29 -07:00

twins.py

Expand scope of testing for non-std vision transformer / mlp models. Some related cleanup and create fn cleanup for all vision transformer and mlp models. More CoaT weights.

2021-05-24 21:13:26 -07:00

vgg.py

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visformer.py

Add Gather-Excite and Global Context attn modules. Refactor existing SE-like attn for consistency and refactor byob/byoanet for less redundancy.

2021-05-27 18:03:29 -07:00

vision_transformer_hybrid.py

Expand scope of testing for non-std vision transformer / mlp models. Some related cleanup and create fn cleanup for all vision transformer and mlp models. More CoaT weights.

2021-05-24 21:13:26 -07:00

vision_transformer.py

Expand scope of testing for non-std vision transformer / mlp models. Some related cleanup and create fn cleanup for all vision transformer and mlp models. More CoaT weights.

2021-05-24 21:13:26 -07:00

vovnet.py

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xception_aligned.py

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xception.py

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