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369 Commits (0d87650fea5ce607d07204806e8143a48917d96f)

Author SHA1 Message Date
Ross Wightman 0d87650fea Remove filter hack from BlurPool w/ non-persistent buffer. Use BlurPool2d instead of AntiAliasing.. for TResNet. Breaks PyTorch < 1.6.
3 years ago
Ross Wightman ddc743fdf8 Update ResNet-RS models to EMA weights
3 years ago
Ross Wightman 08d60f4a9a resnetrs50 pool sizing wrong
3 years ago
Ross Wightman 67d0665b46 Post ResNet-RS merge cleanup. Add weight urls, adjust train/test/crop pct.
3 years ago
Aman Arora 560eae38f5
[WIP] Add ResNet-RS models (#554)
3 years ago
Ross Wightman 9cc7dda6e5 Fixup byoanet configs to pass unit tests. Add swin_attn and swinnet26t model for testing.
3 years ago
Ross Wightman e15c3886ba Defaul lambda r=7. Define '26t' stage 4/5 256x256 variants for all of bot/halo/lambda nets for experiment. Add resnet50t for exp. Fix a few comments.
3 years ago
Ross Wightman e5e15754c9 Fix coat first conv ident
3 years ago
Ross Wightman 76739a7589 CoaT merge. Bit of formatting, fix torchscript (for non features), remove einops/einsum dep, add pretrained weight hub (url) support.
3 years ago
Ross Wightman 026430c083 Merge branch 'master' of https://github.com/morizin/pytorch-image-models-1 into morizin-master
3 years ago
Ross Wightman a0492e3b48 A few miil weights naming tweaks to improve compat with model registry and filtering wildcards.
3 years ago
talrid 8c1f03e56c comment
3 years ago
talrid 19e1b67a84 old spaces
3 years ago
talrid a443865876 update naming and scores
3 years ago
talrid cf0e371594 84_0
3 years ago
talrid 0968bdeca3 vit, tresnet and mobilenetV3 ImageNet-21K-P weights
3 years ago
morizin 1e3b6d4dfc
Update __init__.py
3 years ago
morizin fd022fd6a2
Update __init__.py
3 years ago
morizin c2d5087eae
Add files via upload
3 years ago
Ross Wightman c1cf9712fc Add updated EfficientNet-V2S weights, 83.8 @ 384x384 test. Add PyTorch trained EfficientNet-B4 weights, 83.4 @ 384x384 test. Tweak non TF EfficientNet B1-B4 train/test res scaling.
3 years ago
Ross Wightman e8a64fb881 Test input size for efficientnet_v2s was wrong in last results run
3 years ago
Ross Wightman 2df77ee5cb Fix torchscript compat and features_only behaviour in GhostNet PR. A few minor formatting changes. Reuse existing layers.
3 years ago
Ross Wightman d793deb51a Merge branch 'master' of https://github.com/iamhankai/pytorch-image-models into iamhankai-master
3 years ago
Ross Wightman f606c45c38 Add Swin Transformer models from https://github.com/microsoft/Swin-Transformer
3 years ago
iamhankai de445e7827 Add GhostNet
3 years ago
Ross Wightman b3d7580df1 Update ByoaNet comments. Fix first Steam feat chs for ByobNet.
3 years ago
Ross Wightman 16f7aa9f54 Add default_cfg options for min_input_size / fixed_input_size, queries in model registry, and use for testing self-attn models
3 years ago
Ross Wightman 4e4b863b15 Missed norm.py
3 years ago
Ross Wightman 7c97e66f7c Remove commented code, add more consistent seed fn
3 years ago
Ross Wightman ce62f96d4d ByoaNet with bottleneck transformer, lambda resnet, and halo net experiments
3 years ago
Ross Wightman 21812d33aa Add prelim efficientnet_v2s weights from 224x224 train, eval 83.3 @ 288. Add eca_nfnet_l1 weights, train at 256, eval 84 @ 320.
3 years ago
Ross Wightman fb896c0b26 Update some comments re preliminary EfficientNet-V2 assumptions
3 years ago
Ross Wightman 2b49ab7a36 Fix ResNetV2 pretrained classifier issue. Fixes #540
3 years ago
Ross Wightman de9dff933a EfficientNet-V2S preliminary model def (for experimentation)
3 years ago
Ross Wightman 2bb65bd875 Wrong default_cfg pool_size for L1
3 years ago
Ross Wightman bf2ca6bdf4 Merge jax and original weight init
3 years ago
Ross Wightman acbd698c83 Update README.md with updates. Small tweak to head_dist handling.
3 years ago
Ross Wightman 9071568f0e Add weights for SE NFNet-L0 model, rename nfnet_l0b -> nfnet_l0. 82.75 top-1 @ 288. Add nfnet_l1 model def for training.
3 years ago
Ross Wightman c468c47a9c Add regnety_160 weights from DeiT teacher model, update that and my regnety_032 weights to use higher test size.
3 years ago
Ross Wightman 288682796f Update benchmark script to add precision arg. Fix some downstream (DeiT) compat issues with latest changes. Bump version to 0.4.7
3 years ago
Ross Wightman ea9c9550b2 Fully move ViT hybrids to their own file, including embedding module. Remove some extra DeiT models that were for benchmarking only.
3 years ago
Ross Wightman a5310a3451 Merge remote-tracking branch 'origin/benchmark-fixes-vit_hybrids' into pit_and_vit_update
3 years ago
Ross Wightman 7953e5d11a Fix pos_embed scaling for ViT and num_classes != 1000 for pretrained distilled deit and pit models. Fix #426 and fix #433
3 years ago
Ross Wightman a760a4c3f4 Some ViT cleanup, merge distilled model with main, fixup torchscript support for distilled models
3 years ago
Ross Wightman 0dfc5a66bb Add PiT model from https://github.com/naver-ai/pit
3 years ago
Ross Wightman 51febd869b Small tweak to tests for tnt model, reorder model imports.
3 years ago
contrastive de86314655 Update TNT
3 years ago
contrastive cfc15283a4 Update TNT url
3 years ago
contrastive 4a09bc851e Add TNT model
3 years ago
Ross Wightman cf5fec5047 Cleanup experimental vit weight init a bit
3 years ago