6b4f9ba223
Add MNASNet A1, B1, and Small models as per the TF impl. Testing/training in progress...
6 years ago
c88e80081d
Fix missing cfg key check
6 years ago
073d31a076
Update README.md
6 years ago
7ba78aaaeb
Update README.md
6 years ago
e8e8bce335
Create README.md
6 years ago
9e296dbffb
Add seresnet26_32x4d cfg and weights + interpolation str->PIL enum fn
6 years ago
71afec86d3
Loader tweaks
6 years ago
79f615639e
Add pretrained weights for seresnet18
6 years ago
8a33a6c90a
Add checkpoint clean script, add link to pretrained resnext50 weights
6 years ago
6e9697eb9c
Fix small bug in seresnet input size and eval transform handling of img size
6 years ago
db1fe34d0c
Update a few comment, add some references
6 years ago
0562b91c38
Add per model crop pct, interpolation defaults, tie it all together
...
* create one resolve fn to pull together model defaults + cmd line args
* update attribution comments in some models
* test update train/validation/inference scripts
6 years ago
c328b155e9
Random erasing crash fix and args pass through
6 years ago
9c3859fb9c
Uniform pretrained model handling.
...
* All models have 'default_cfgs' dict
* load/resume/pretrained helpers factored out
* pretrained load operates on state_dict based on default_cfg
* test all models in validate
* schedule, optim factor factored out
* test time pool wrapper applied based on default_cfg
6 years ago
63e677d03b
Merge branch 'master' of github.com:rwightman/pytorch-models
6 years ago
0bc50e84f8
Lots of refactoring and cleanup.
...
* Move 'test time pool' to Module that can be used by any model, remove from DPN
* Remove ResNext model file and combine with ResNet
* Remove fbresnet200 as it was an old conversion and pretrained performance not worth param count
* Cleanup adaptive avgmax pooling and add back conctat variant
* Factor out checkpoint load fn
6 years ago
f1cd1a5ce3
Cleanup CheckpointSaver, add support for increasing or decreasing metric, switch to prec1 metric in train loop
6 years ago
c0e6e5f3db
Add common model interface to pnasnet and xception, update factory
6 years ago
f2029dfb65
Add smooth loss
6 years ago
b0158a593e
Fix distributed train script
6 years ago
183d8e4aef
Xception model working
6 years ago
1e23727f2f
Update inference script for new loader style
6 years ago
58571e992e
Change block avgpool in senets to mean for performance issues with NVIDIA and AMP especially
6 years ago
5180f94c7e
Distributed (multi-process) train, multi-gpu single process train, and NVIDIA AMP support
6 years ago
6f9a0c8ef2
Merge branch 'master' of github.com:rwightman/pytorch-models
6 years ago
5cb1a35c6b
Fixup Resnext, remove alternate shortcut types
6 years ago
d87824bd65
Merge branch 'master' of github.com:rwightman/pytorch-models
6 years ago
45cde6f0c7
Improve creation of data pipeline with prefetch enabled vs disabled, fixup inception_res_v2 and dpn models
6 years ago
321435e6b4
Update resnext init
6 years ago
2295cf56c2
Add some Nvidia performance enhancements (prefetch loader, fast collate), and refactor some of training and model fact/transforms
6 years ago
9d927a389a
Add adabound, random erasing
6 years ago
1577c52976
Resnext added, changes to bring it and seresnet in line with rest of models
6 years ago
e0cfeb7d8e
Add some models, remove a model, tweak some models
6 years ago
31055466fc
Fixup validate/inference script args, fix senet init for better test accuracy
6 years ago
b1a5a71151
Update schedulers
6 years ago
b5255960d9
Tweaking tanh scheduler, senet weight init (for BN), transform defaults
6 years ago
48360625f2
Cycle limit on tanh sched
6 years ago
824f42e75e
Forgot to include Tanh scheduler
6 years ago
a336e5bff3
Minor updates
6 years ago
cf0c280e1b
Cleanup tranforms, add custom schedulers, tweak senet34 model
6 years ago
c57717d325
Fix tta train bug, improve logging
6 years ago
72b4d162a2
Increase training performance
6 years ago
5855b07ae0
Initial commit, puting some ol pieces together
6 years ago
Ross Wightman