Commit Graph

50 Commits (c9d54bc1c31ff02cc9f095a7a138e66c89bb8c2d)

Author SHA1 Message Date
Ross Wightman 3b9004bef9 Lots of changes to model creation helpers, close to finalizing feature extraction / interfaces
4 years ago
Ross Wightman f122f0274b Significant ResNet refactor:
4 years ago
Ross Wightman a66df5fb91 More model feature extraction support, start to deprecate senet.py, dilations added to regnet, add proper aligned xception
4 years ago
Ross Wightman 7729f40dca Fix another bug, update all gluon resnet models to use new creation method (feature support)
4 years ago
Ross Wightman d0113f9cdb Fix a few issues that came up in tests
4 years ago
Ross Wightman d23a2697d0 Working on feature extraction, interfaces refined, a number of models working, some in progress.
4 years ago
Ross Wightman eb7653614f Monster commit, activation refactor, VoVNet, norm_act improvements, more
4 years ago
Vyacheslav Shults a7ebe09029 Replace all None by nn.Identity() in all models reset_classifier when False-values num_classes is given.
5 years ago
Ross Wightman 2681a8d618 Final blurpool2d cleanup and add resnetblur50 weights, match tresnet Downsample arg order to BlurPool2d for interop
5 years ago
Ross Wightman 9590f301a9 Merge branch 'blur' of https://github.com/VRandme/pytorch-image-models into VRandme-blur
5 years ago
Ross Wightman 0834fbc01c Move pruned model adapt strings to separate txt files. A few minor formatting alignment tweaks.
5 years ago
AFLALO, Jonathan Isaac 07f19dd699 added eca resnet
5 years ago
Chris Ha 06a50a94a8 Fix minor typos in create_attn.py and resnet.py
5 years ago
Ross Wightman 6cdeca24a3 Some cleanup and fixes for initial BlurPool impl. Still some testing and tweaks to go...
5 years ago
Chris Ha acd1b6cccd Implement Functional Blur on resnet.py
5 years ago
Ross Wightman 5a16c533ff Add better resnext50_32x4d weights trained by andravin
5 years ago
Ross Wightman f1d5f8a6c4 Update comments for Selective Kernel and DropBlock/Path impl, add skresnet34 weights
5 years ago
Ross Wightman f902bcd54c Layer refactoring continues, ResNet downsample rewrite for proper dilation in 3x3 and avg_pool cases
5 years ago
Ross Wightman 13746a33fc Big move, layer modules and fn to timm/models/layers
5 years ago
Ross Wightman f54612f648 Merge branch 'select_kernel' into attention
5 years ago
Ross Wightman 4defbbbaa8 Fix module name mistake, start layers sub-package
5 years ago
Chris Ha db91ba053b EcaModule(CamelCase)
5 years ago
Chris Ha f87fcd7e88 Implement Eca modules
5 years ago
Ross Wightman a9d2424fd1 Add separate zero_init_last_bn function to support more block variety without a mess
5 years ago
Ross Wightman 9f11b4e8a2 Add ConvBnAct layer to parallel integrated SelectKernelConv, add support for DropPath and DropBlock to ResNet base and SK blocks
5 years ago
Ross Wightman cefc9b7761 Move SelectKernelConv to conv2d_layers and more
5 years ago
Ross Wightman 58e28dc7e7 Move Selective Kernel blocks/convs to their own sknet.py file
5 years ago
Ross Wightman a93bae6dc5 A SelectiveKernelBasicBlock for more experiments
5 years ago
Ross Wightman ad087b4b17 Missed bias=False in selection conv
5 years ago
Ross Wightman c8b3d6b81a Initial impl of Selective Kernel Networks. Very much a WIP.
5 years ago
Ross Wightman 12dbc74742 New ResNet50 JSD + RandAugment weights
5 years ago
Ross Wightman 2f41905ba5 Update ResNet50 weights to AuxMix trained 78.994 top-1. A few commentes re 'tiered_narrow' tn variant.
5 years ago
Ross Wightman a28117ea46 Add tiered narrow ResNet (tn) and weights for seresnext26tn_32x4d
5 years ago
Ross Wightman 53001dd292 ResNet / Res2Net additions:
5 years ago
Ross Wightman 19fc205a4d Update comments on the new SE-ResNeXt26 models
5 years ago
rwightman 1f4498f217 Add ResNet deep tiered stem and model weights for seresnext26t_32x4d and seresnext26d_32x4d
5 years ago
Ross Wightman 3bef524f9c Finish with HRNet, weights and models updated. Improve consistency in model classifier/global pool treatment.
5 years ago
Ross Wightman 5a0a8de7e3 ResNet updates:
5 years ago
Ross Wightman b93fcf0708 Add Facebook Research Semi-Supervised and Semi-Weakly Supervised ResNet model weights.
5 years ago
rwightman adbf770f16 Add Res2Net and DLA models w/ pretrained weights. Update sotabench.
5 years ago
Ross Wightman fac58f609a Add RAdam, NovoGrad, Lookahead, and AdamW optimizers, a few ResNet tweaks and scheduler factory tweak.
5 years ago
Ross Wightman 3d9be78fc6 A bit more ResNet cleanup.
5 years ago
Ross Wightman 33436fafad Add weights for ResNeXt50d model
5 years ago
Ross Wightman e78cd79073 Move ResNet additions for Gluon into main ResNet impl. Add ResNet-26 and ResNet-26d models with weights.
5 years ago
Ross Wightman 9b0070edc9 Add two comments back, fix typo
5 years ago
Ross Wightman b8762cc67d Model updates. Add my best ResNet50 weights top-1=78.47. Add some other torchvision weights.
5 years ago
Ross Wightman 171c0b88b6 Add model registry and model listing fns, refactor model_factory/create_model fn
5 years ago
Ross Wightman 8512436436 Add instagram pretrained ResNeXt models from https://pytorch.org/hub/facebookresearch_WSL-Images_resnext/, update README
5 years ago
Ross Wightman 6cc214bd7a Consistency in model entrypoints
5 years ago
Ross Wightman aa4354f466 Big re-org, working towards making pip/module as 'timm'
5 years ago