talrid
dc1a4efd28
mixer_b16_224_miil, mixer_b16_224_miil_in21k models
4 years ago
Ross Wightman
d5af752117
Add preliminary gMLP and ResMLP impl to Mlp-Mixer
4 years ago
Ross Wightman
e7f0db8664
Fix drop/drop_path arg on MLP-Mixer model. Fix #641
4 years ago
Ross Wightman
7077f16c6a
Change 21k model naming from _21k to _in21k for consistency with existing 21k models.
4 years ago
Ross Wightman
328249f11a
Update README, tweak fine-tune effv2 model names.
4 years ago
Ross Wightman
c4f482a08b
EfficientNetV2 official impl w/ weights ported from TF. Cleanup/refactor of related EfficientNet classes and models.
4 years ago
Ross Wightman
4fbc32d3d0
Fix crop_pct for cait models.
4 years ago
Ross Wightman
715519a5ef
Rethink name of patch embed grid info
4 years ago
Ross Wightman
b2c305c2aa
Move Mlp and PatchEmbed modules into layers. Being used in lots of models now...
4 years ago
Ross Wightman
3ba6b55cb2
More adjustments to ByoaNet models for further experiments.
4 years ago
Ross Wightman
5fcddb96a8
Merge branch 'master' into cait
4 years ago
Ross Wightman
3db12b4b6a
Finish CaiT cleanup
4 years ago
Ross Wightman
2d8b09fe8b
Add official pretrained weights to MLP-Mixer, complete model cfgs.
4 years ago
Ross Wightman
12efffa6b1
Initial MLP-Mixer attempt...
4 years ago
Ross Wightman
0721559511
Improved (hopefully) init for SA/SA-like layers used in ByoaNets
4 years ago
Ross Wightman
d5473c17f7
Fix incorrect name of shortcut/identity paths in many residual nets. Inherited from naming in old old torchvision, long fixed there.
4 years ago
Ross Wightman
0d87650fea
Remove filter hack from BlurPool w/ non-persistent buffer. Use BlurPool2d instead of AntiAliasing.. for TResNet. Breaks PyTorch < 1.6.
4 years ago
Ross Wightman
ddc743fdf8
Update ResNet-RS models to EMA weights
4 years ago
Ross Wightman
08d60f4a9a
resnetrs50 pool sizing wrong
4 years ago
Ross Wightman
1daa15ecc3
Initial Cait commit. Still some cleanup to do.
4 years ago
Ross Wightman
67d0665b46
Post ResNet-RS merge cleanup. Add weight urls, adjust train/test/crop pct.
4 years ago
Aman Arora
560eae38f5
[WIP] Add ResNet-RS models ( #554 )
...
* Add ResNet-RS models
* Only include resnet-rs changes
* remove whitespace diff
* EOF newline
* Update time
* increase time
* Add first conv
* Try running only resnetv2_101x1_bitm on Linux runner
* Add to exclude filter
* Run test_model_forward_features for all
* Add to exclude ftrs
* back to defaults
* only run test_forward_features
* run all tests
* Run all tests
* Add bigger resnetrs to model filters to fix Github CLI
* Remove resnetv2_101x1_bitm from exclude feat features
* Remove hardcoded values
* Make sure reduction ratio in resnetrs is 0.25
* There is no bias in replaced maxpool so remove it
4 years ago
Ross Wightman
9cc7dda6e5
Fixup byoanet configs to pass unit tests. Add swin_attn and swinnet26t model for testing.
4 years ago
Ross Wightman
e15c3886ba
Defaul lambda r=7. Define '26t' stage 4/5 256x256 variants for all of bot/halo/lambda nets for experiment. Add resnet50t for exp. Fix a few comments.
4 years ago
Ross Wightman
e5e15754c9
Fix coat first conv ident
4 years ago
Ross Wightman
76739a7589
CoaT merge. Bit of formatting, fix torchscript (for non features), remove einops/einsum dep, add pretrained weight hub (url) support.
4 years ago
Ross Wightman
026430c083
Merge branch 'master' of https://github.com/morizin/pytorch-image-models-1 into morizin-master
4 years ago
Ross Wightman
a0492e3b48
A few miil weights naming tweaks to improve compat with model registry and filtering wildcards.
4 years ago
talrid
8c1f03e56c
comment
4 years ago
talrid
19e1b67a84
old spaces
4 years ago
talrid
a443865876
update naming and scores
4 years ago
talrid
cf0e371594
84_0
4 years ago
talrid
0968bdeca3
vit, tresnet and mobilenetV3 ImageNet-21K-P weights
4 years ago
morizin
1e3b6d4dfc
Update __init__.py
4 years ago
morizin
fd022fd6a2
Update __init__.py
4 years ago
morizin
c2d5087eae
Add files via upload
4 years ago
Ross Wightman
c1cf9712fc
Add updated EfficientNet-V2S weights, 83.8 @ 384x384 test. Add PyTorch trained EfficientNet-B4 weights, 83.4 @ 384x384 test. Tweak non TF EfficientNet B1-B4 train/test res scaling.
4 years ago
Ross Wightman
e8a64fb881
Test input size for efficientnet_v2s was wrong in last results run
4 years ago
Ross Wightman
2df77ee5cb
Fix torchscript compat and features_only behaviour in GhostNet PR. A few minor formatting changes. Reuse existing layers.
4 years ago
Ross Wightman
d793deb51a
Merge branch 'master' of https://github.com/iamhankai/pytorch-image-models into iamhankai-master
4 years ago
Ross Wightman
f606c45c38
Add Swin Transformer models from https://github.com/microsoft/Swin-Transformer
4 years ago
iamhankai
de445e7827
Add GhostNet
4 years ago
Ross Wightman
b3d7580df1
Update ByoaNet comments. Fix first Steam feat chs for ByobNet.
4 years ago
Ross Wightman
16f7aa9f54
Add default_cfg options for min_input_size / fixed_input_size, queries in model registry, and use for testing self-attn models
4 years ago
Ross Wightman
4e4b863b15
Missed norm.py
4 years ago
Ross Wightman
7c97e66f7c
Remove commented code, add more consistent seed fn
4 years ago
Ross Wightman
ce62f96d4d
ByoaNet with bottleneck transformer, lambda resnet, and halo net experiments
4 years ago
Ross Wightman
21812d33aa
Add prelim efficientnet_v2s weights from 224x224 train, eval 83.3 @ 288. Add eca_nfnet_l1 weights, train at 256, eval 84 @ 320.
4 years ago
Ross Wightman
fb896c0b26
Update some comments re preliminary EfficientNet-V2 assumptions
4 years ago
Ross Wightman
2b49ab7a36
Fix ResNetV2 pretrained classifier issue. Fixes #540
4 years ago