15e66863b1
Update README.md
2019-07-31 14:41:31 -07:00
e879cf52fa
Update validation scores for new TF EfficientNet weights.
2019-07-31 14:38:55 -07:00
b35050a144
Update README.md
2019-07-30 18:33:40 -07:00
857f33015a
Add native PyTorch weights for MixNet-Medium with no SAME padding necessary. Remove unused block of code.
2019-07-29 11:59:15 -07:00
dfa9298b4e
Add MixNet ( https://arxiv.org/abs/1907.09595 ) with pretrained weights converted from Tensorflow impl
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* refactor 'same' convolution and add helper to use MixedConv2d when needed
* improve performance of 'same' padding for cases that can be handled statically
* add support for extra exp, pw, and dw kernel specs with grouping support to decoder/string defs for MixNet
* shuffle some args for a bit more consistency, a little less clutter overall in gen_efficientnet.py
2019-07-25 11:42:01 -07:00
d97510fd4a
Add new results csv and update README with 3 new ResNet weight results
2019-07-20 08:45:05 -07:00
5684c6af32
Update README.md
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Add blurb about results csv
2019-07-04 10:52:03 -07:00
a6b2f6eca5
Update README, bump version
2019-07-03 22:48:33 -07:00
c3287aafb3
Slight improvement in EfficientNet-B2 native PyTorch weights
2019-06-29 16:17:29 -07:00
b8762cc67d
Model updates. Add my best ResNet50 weights top-1=78.47. Add some other torchvision weights.
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* Remove some models that don't exist as pretrained an likely never will (se)resnext152
* Add some torchvision weights as tv_ for models that I have added better weights for
* Add wide resnet recently added to torchvision along with resnext101-32x8d
* Add functionality to model registry to allow filtering on pretrained weight presence
2019-06-29 15:50:33 -07:00
13c19e213d
Add native PyTorch EfficientNet B1 and B2 weights. Not quite where I want them, but hitting the brick wall and moving on to other projects...
2019-06-24 13:12:04 -07:00
8512436436
Add instagram pretrained ResNeXt models from https://pytorch.org/hub/facebookresearch_WSL-Images_resnext/ , update README
2019-06-23 12:29:02 -07:00
6fc886acaf
Remove all prints, change most to logging calls, tweak alignment of batch logs, improve setup.py
2019-06-20 17:29:25 -07:00
1019414fd2
Add ported Tensorflow EfficientNet B4/B5 weights
2019-06-18 09:50:36 -07:00
c6b8259ad6
Update README.md
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Add blurb about python environment
2019-06-14 10:51:54 -07:00
f3134973b5
Add the MnasNet-B1 variant weights, add A1/B1 model names as in the stand-alone repo, remove a bit of unused code
2019-06-14 09:08:02 -07:00
2060e433c0
Add native PyTorch weights for SE-MnasNet aka MnasNet-A1
2019-06-11 08:54:54 -07:00
7d17394bdc
Add native PyTorch weights for EfficientNet-B0 w/ top-1 > 76.9
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* also add pooling details to default cfg for efficiennets so testtimepool wrapper works
2019-06-10 13:11:36 -07:00
105d5702d7
Update README.md
2019-06-04 10:23:36 -07:00
6688d0669f
PyTorch trained MobileNetV3 weights that match/best paper. Update fbnetc weights to improved copy.
2019-06-04 09:51:05 -07:00
b32361c9f8
Correct name
2019-06-03 20:33:04 +10:00
99122aac1c
Replace ResNet-34 default weights with a great result from my experiments.
2019-05-31 10:42:46 -07:00
4bb5e9b224
Ported Tensorflow pretrained EfficientNet weights and some model cleanup
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* B0-B3 weights ported from TF with close to paper accuracy
* Renamed gen_mobilenet to gen_efficientnet since scaling params go well beyond 'mobile' specific
* Add Tensorflow preprocessing option for closer images to source repo
2019-05-30 17:55:35 -07:00
7a6d61566e
Add EfficientNet impl, change existing depth_multipler -> channel_multiplier as definitions have been confused
2019-05-29 23:32:52 -07:00
99ab1b1276
Update README.md
2019-05-26 18:48:35 -07:00
c2de3a922b
Update README.md
2019-05-26 18:46:12 -07:00
2da0b4dbc1
Add inception_v3 models via torchvision, 4 different pretrained weight choices
2019-05-23 11:07:06 -07:00
af1a68d2e1
Update README.md
2019-05-20 14:55:56 -07:00
a4516fe0fb
Add pretrained weights for FBNet-C
2019-05-20 11:05:25 -07:00
a72e9b67ee
Update README.md
2019-05-18 22:27:42 -07:00
e3377b0409
Add some info to README
2019-05-15 09:54:07 -07:00
fee607edf6
Mixup implemention in progress
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* initial impl w/ label smoothing converging, but needs more testing
2019-05-13 19:05:40 -07:00
db056d97e2
Add MobileNetV3 and associated changes hard-swish, hard-sigmoid, efficient head, etc
2019-05-10 23:28:13 -07:00
0956cd4b66
Update README.md
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Add notes for latest mobile model weights...
2019-04-28 18:06:20 -07:00
1cf3ea0467
Update README.md
2019-04-21 16:49:00 -07:00
073d31a076
Update README.md
2019-04-14 15:19:58 -07:00
7ba78aaaeb
Update README.md
2019-04-14 15:14:37 -07:00
e8e8bce335
Create README.md
2019-04-14 15:10:52 -07:00
Ross Wightman
Ross Wightman
Zhun Zhong