Commit Graph

221 Commits (ecdeb470f2960aa2441e1a184d3007ca55d49832)

Author SHA1 Message Date
Ross Wightman ac18adb9c3 Remove debug print from RexNet 2020-07-29 11:15:19 -07:00
Ross Wightman ec4976fdba Add EfficientNet-Lite0 weights trained with this code by @hal-314, 75.484 top-1 2020-07-29 00:32:08 -07:00
Ross Wightman 9ecd16bd7b Add new seresnet50 (non-legacy) model weights, 80.274 top-1 2020-07-29 00:17:42 -07:00
Ross Wightman 7995295968 Merge branch 'logger' into features. Change 'logger' to '_logger'. 2020-07-27 18:00:46 -07:00
Ross Wightman 1998bd3180 Merge branch 'feature/AB/logger' of https://github.com/antoinebrl/pytorch-image-models into logger 2020-07-27 16:06:01 -07:00
Ross Wightman 6c17d57a2c Fix some attributions, add copyrights to some file docstrings 2020-07-27 13:44:56 -07:00
Ross Wightman a69c0e04f0 Fix pool size in cspnet 2020-07-27 13:44:02 -07:00
Ross Wightman 14ef7a0dd6 Rename csp.py -> cspnet.py 2020-07-27 11:15:07 -07:00
Ross Wightman ec37008432 Add pretrained weight links to CSPNet for cspdarknet53, cspresnext50 2020-07-27 11:13:21 -07:00
Ross Wightman 08016e839d Cleanup FeatureInfo getters, add TF models sourced Xception41/65/71 weights 2020-07-24 17:59:21 -07:00
Ross Wightman 7ba5a384d3 Add ReXNet w/ remapped weights, feature support 2020-07-23 10:28:57 -07:00
Ross Wightman c9d54bc1c3 Add HRNet feature extraction, fix senet type, lower feature testing res to 96x96 2020-07-21 17:39:29 -07:00
Ross Wightman 2ac663f340 Add feature support to legacy senets, add 32x32 resnext models to exclude list for feature testing. 2020-07-21 11:15:30 -07:00
Ross Wightman c146b54abc Cleanup EfficientNet/MobileNetV3 feature extraction a bit, only two tap locations now, small mobilenetv3 models work 2020-07-21 01:21:38 -07:00
Ross Wightman 68fd8a267b Merge branch 'master' into features 2020-07-20 16:11:38 -07:00
Ross Wightman 4e61c6a12d Cleanup, refactoring of Feature extraction code, add tests, fix tests, non hook feature extraction working with torchscript 2020-07-20 16:10:31 -07:00
Ross Wightman 6eec3fb4a4 Move FeatureHooks into features.py, switch EfficientNet, MobileNetV3 to use build model helper 2020-07-19 15:00:43 -07:00
Ross Wightman 9eba134d79 More models supporting feature extraction, xception, gluon_xception, inception_v3, inception_v4, pnasnet, nasnet, dla. Fix DLA unused projection params. 2020-07-19 14:02:02 -07:00
Ross Wightman 298fba09ac Back out some activation hacks trialing upcoming pytorch changes 2020-07-17 18:41:37 -07:00
Ross Wightman 3b9004bef9 Lots of changes to model creation helpers, close to finalizing feature extraction / interfaces 2020-07-17 17:54:26 -07:00
Ross Wightman e2cc481310 Update CSP ResNets for cross expansion without activation. Fix VovNet IABN compatibility with fixed activation arg. 2020-07-13 16:24:55 -07:00
Ross Wightman 3b6cce4c95 Add initial impl of CrossStagePartial networks, yet to be trained, not quite the same as darknet cfgs. 2020-07-13 15:01:06 -07:00
Ross Wightman 3aebc2f06c Switch DPN to use BnAct layer, train a new DPN 68b model with RA to 79.21 2020-07-12 11:13:06 -07:00
Ross Wightman f122f0274b Significant ResNet refactor:
* stage creation + make_layer moved to separate fn with more sensible dilation/output_stride calc
* drop path rate decay easy to impl with refactored block creation loops
* fix dilation + blur pool combo
2020-07-05 00:48:12 -07:00
Ross Wightman a66df5fb91 More model feature extraction support, start to deprecate senet.py, dilations added to regnet, add proper aligned xception 2020-07-03 00:41:30 -07:00
Ross Wightman 7729f40dca Fix another bug, update all gluon resnet models to use new creation method (feature support) 2020-06-30 16:44:15 -07:00
Ross Wightman d72ac0db25 Fix #173, lr cycle default 0 vs 1. Fix #177, mirror resnest weights for future stability. 2020-06-29 21:31:48 -07:00
Ross Wightman d0113f9cdb Fix a few issues that came up in tests 2020-06-29 21:13:21 -07:00
Ross Wightman d23a2697d0 Working on feature extraction, interfaces refined, a number of models working, some in progress. 2020-06-29 18:18:59 -07:00
Ross Wightman 328339a086 Add ESE-VoVNet-19-DW weights 2020-06-15 14:31:55 -07:00
Ross Wightman 2d83752bc2 Fix default interpolation/crop of largest 2 ResNeSt models 2020-06-12 16:42:47 -07:00
Ross Wightman 39f27c1add Almost ready to merge, vovnet typo, version bump, readme addition 2020-06-11 15:41:58 -07:00
Ross Wightman 151679c2f1 Add custom grad tests, fix cut & paste error with hard_mish ME, add a few more pytorch act fns to factory 2020-06-11 14:49:23 -07:00
Ross Wightman 6c7932fe75 Update sotabench.py, tweak VovNet cfg 2020-06-11 14:34:25 -07:00
Ross Wightman 0aca08384f Update regnet cfg keys to match model names so registry works properly 2020-06-09 14:37:45 -07:00
Antoine Broyelle 78fa0772cc Leverage python hierachical logger
with this update one can tune the kind of logs generated by timm but
training and inference traces are unchanged
2020-06-09 18:28:48 +01:00
Ross Wightman 13c0a6290e Add ESE-VovNet39 weights, 79.32 top-1 2020-06-06 22:50:21 -07:00
Ross Wightman 4ddde1d3a4 Fix two regressions 2020-06-05 11:04:51 -07:00
Ross Wightman a7e8cadd15 Remove pointless densenet configs, add an iabn version of 264 as it makes more sense to try someday... 2020-06-03 17:13:52 -07:00
Ross Wightman e78daf586a better densenet121 and densenetblur121d weights 2020-06-03 13:30:03 -07:00
Ross Wightman 7be299504f Add missing feature_info() on MobileNetV3, make hook feature output order/type consistent with bottleneck (list, decreasing fmap size) 2020-06-03 00:00:37 -07:00
Ross Wightman 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. 2020-06-02 21:06:10 -07:00
Ross Wightman f28170df3f Fix an an untested change, remove a debug print 2020-06-01 17:26:42 -07:00
Ross Wightman 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
2020-06-01 17:16:52 -07:00
Ross Wightman 0ea53cecc3 Merge branch 'master' into densenet_update_and_more 2020-05-22 16:18:10 -07:00
Ross Wightman 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. 2020-05-22 16:16:45 -07:00
Ross Wightman afb6bd0669 Add backward and default_cfg tests and fix a few issues found. Fix #153 2020-05-21 15:30:58 -07:00
Ross Wightman 50658b9a67 Add RegNet models and weights 2020-05-18 00:08:52 -07:00
Ross Wightman 7df83258c9 Merge branch 'master' into densenet_update_and_more 2020-05-13 23:34:44 -07:00
Ross Wightman 1904ed8fec Improve dropblock impl, add fast variant, and better AMP speed, inplace, batchwise... few ResNeSt cleanups 2020-05-13 15:17:08 -07:00