d72ac0db25
Fix #173 , lr cycle default 0 vs 1. Fix #177 , mirror resnest weights for future stability.
4 years ago
328339a086
Add ESE-VoVNet-19-DW weights
4 years ago
2d83752bc2
Fix default interpolation/crop of largest 2 ResNeSt models
4 years ago
39f27c1add
Almost ready to merge, vovnet typo, version bump, readme addition
4 years ago
151679c2f1
Add custom grad tests, fix cut & paste error with hard_mish ME, add a few more pytorch act fns to factory
4 years ago
6c7932fe75
Update sotabench.py, tweak VovNet cfg
4 years ago
0aca08384f
Update regnet cfg keys to match model names so registry works properly
4 years ago
13c0a6290e
Add ESE-VovNet39 weights, 79.32 top-1
5 years ago
4ddde1d3a4
Fix two regressions
5 years ago
a7e8cadd15
Remove pointless densenet configs, add an iabn version of 264 as it makes more sense to try someday...
5 years ago
e78daf586a
better densenet121 and densenetblur121d weights
5 years ago
7be299504f
Add missing feature_info() on MobileNetV3, make hook feature output order/type consistent with bottleneck (list, decreasing fmap size)
5 years ago
88129b2569
Add set_layer_config contextmgr to adjust all layer configs at once, use in create_module with new args. Remove a few old warning causing constant annotations for jit.
5 years ago
f28170df3f
Fix an an untested change, remove a debug print
5 years ago
eb7653614f
Monster commit, activation refactor, VoVNet, norm_act improvements, more
...
* refactor activations into basic PyTorch, jit scripted, and memory efficient custom auto
* implement hard-mish, better grad for hard-swish
* add initial VovNet V1/V2 impl, fix #151
* VovNet and DenseNet first models to use NormAct layers (support BatchNormAct2d, EvoNorm, InplaceIABN)
* Wrap IABN for any models that use it
* make more models torchscript compatible (DPN, PNasNet, Res2Net, SelecSLS) and add tests
5 years ago
0ea53cecc3
Merge branch 'master' into densenet_update_and_more
5 years ago
6441e9cc1b
Fix memory_efficient mode for DenseNets. Add AntiAliasing (Blur) support for DenseNets and create one test model. Add lr cycle/mul params to train args.
5 years ago
afb6bd0669
Add backward and default_cfg tests and fix a few issues found. Fix #153
5 years ago
50658b9a67
Add RegNet models and weights
5 years ago
7df83258c9
Merge branch 'master' into densenet_update_and_more
5 years ago
1904ed8fec
Improve dropblock impl, add fast variant, and better AMP speed, inplace, batchwise... few ResNeSt cleanups
5 years ago
17270c69b9
Remove annoying InceptionV3 dependency on scipy and insanely slow trunc_norm init. Bring InceptionV3 code into this codebase and use upcoming torch trunch_norm_ init.
5 years ago
c4ca016656
Merge pull request #145 from rwightman/resnest
...
ResNeSt
5 years ago
208e7912f7
Missed one of the abalation model entrypoints, update README
5 years ago
9cc289f18c
Exclude EfficientNet-L2 models from test
5 years ago
2f884a0ce5
Add resnest14, resnest26, and two of the abalation grouped resnest50 models
5 years ago
f4cdc2ac31
Add ResNeSt models
5 years ago
780860d140
Add norm_act factory method, move JIT of norm layers to factory
5 years ago
14edacdf9a
DenseNet converted to support ABN (norm + act) modules. Experimenting with EvoNorm, IABN
5 years ago
022ed001f3
Update DenseNet to latest in Torchvision (torchscript compat, checkpointing, proper init). Start adding ehanced configurability, stem options...
5 years ago
a7ebe09029
Replace all None by nn.Identity() in all models reset_classifier when False-values num_classes is given.
...
Make small code refactoring
5 years ago
f0eb021620
Replace all None by nn.Identity() in HRNet modules
5 years ago
8d8677e03b
Fix #139 . Broken SKResNets after BlurPool addition, as a plus, SKResNets support AA now too.
5 years ago
9c15d57505
added efficientnet pruned weights
5 years ago
ea300709f0
Fix model create fn not passing num_classes through. Fix #135
5 years ago
2c438c4e0d
Merge branch 'master' of github.com:rwightman/pytorch-models
5 years ago
2681a8d618
Final blurpool2d cleanup and add resnetblur50 weights, match tresnet Downsample arg order to BlurPool2d for interop
5 years ago
9590f301a9
Merge branch 'blur' of https://github.com/VRandme/pytorch-image-models into VRandme-blur
5 years ago
a5220ad3aa
Merge pull request #125 from Separius/patch-1
...
fix typo in eca
5 years ago
0834fbc01c
Move pruned model adapt strings to separate txt files. A few minor formatting alignment tweaks.
5 years ago
ba793f5c1c
Merge branch 'adding_ECA_resnet' of https://github.com/yoniaflalo/pytorch-image-models into yoniaflalo-adding_ECA_resnet
5 years ago
07f19dd699
added eca resnet
5 years ago
be7c784d21
Small TResNet simplification, just use SelectAdaptivePool, don't notice any perf difference
5 years ago
e3a98171b2
Remove some CRLF that made it into TResNet merge
5 years ago
0004f37d25
Some TResNet cleanup.
...
* allow use of global pool arg, test-time-pooling
* clean checkpoints to just contain state dict, add 448 res checkpoints
* support DataParallel via lazy filter creation for JIT Downsample
* some minor formatting (mostly alignment) preferences
5 years ago
20290b5b56
fix typo in eca
5 years ago
ebf82b84ac
Merge pull request #122 from mrT23/master
...
TResNet models
5 years ago
bdb165a8a4
Merge changes in feature extraction interface to MobileNetV3
...
Experimental feature extraction interface seems to be changed
a little bit with the most up to date version apparently found
in EfficientNet class. Here these changes are added to
MobileNetV3 class to make it support it and work again, too.
5 years ago
8a63c1add8
finalizing
5 years ago
6209146738
TResNet models
5 years ago
Ross Wightman