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560 Commits (8257b86550b8453b658e386498d4e643d6bf8d38)

Author SHA1 Message Date
Aman Arora 8b1f2e8e1f remote unused matplotlib import
4 years ago
Aman Arora 40c506ba1e Add ConViT
4 years ago
Alexander Soare 7976019864 extend positional embedding resizing functionality to tnt
4 years ago
Alexander Soare 8086943b6f allow resize positional embeddings to non-square grid
4 years ago
talrid dc1a4efd28 mixer_b16_224_miil, mixer_b16_224_miil_in21k models
4 years ago
李鑫杰 7b799c4e79 add latest code
4 years ago
Ross Wightman d5af752117 Add preliminary gMLP and ResMLP impl to Mlp-Mixer
4 years ago
李鑫杰 00548b8427 Add Twins
4 years ago
Ross Wightman e7f0db8664 Fix drop/drop_path arg on MLP-Mixer model. Fix #641
4 years ago
Ross Wightman 9a3ae97311 Another set of byoanet models w/ ECA channel + SA + groups
4 years ago
Ross Wightman d53e91218e Fix tf.data options setting for newer TF versions
4 years ago
Ross Wightman 7077f16c6a Change 21k model naming from _21k to _in21k for consistency with existing 21k models.
4 years ago
Ross Wightman 94d4b53352 Add temporary default_cfgs to visformer models so they pass tests
4 years ago
Ross Wightman 3bffc701f1 Merge branch 'master' into levit_visformer_rednet
4 years ago
Ross Wightman ecc7552c5c Add levit, levit_c, and visformer model defs. Largely untested and not finished cleanup.
4 years ago
Ross Wightman 165fb354b2 Add initial RedNet model / Involution layer impl for testing
4 years ago
Ross Wightman 328249f11a Update README, tweak fine-tune effv2 model names.
4 years ago
Ross Wightman c4f482a08b EfficientNetV2 official impl w/ weights ported from TF. Cleanup/refactor of related EfficientNet classes and models.
4 years ago
Ross Wightman 4fbc32d3d0 Fix crop_pct for cait models.
4 years ago
Ross Wightman 715519a5ef Rethink name of patch embed grid info
4 years ago
Ross Wightman b2c305c2aa Move Mlp and PatchEmbed modules into layers. Being used in lots of models now...
4 years ago
Ross Wightman 3ba6b55cb2 More adjustments to ByoaNet models for further experiments.
4 years ago
Ross Wightman 5fcddb96a8 Merge branch 'master' into cait
4 years ago
Ross Wightman 3db12b4b6a Finish CaiT cleanup
4 years ago
Ross Wightman 2d8b09fe8b Add official pretrained weights to MLP-Mixer, complete model cfgs.
4 years ago
Ross Wightman 12efffa6b1 Initial MLP-Mixer attempt...
4 years ago
Ross Wightman 0721559511 Improved (hopefully) init for SA/SA-like layers used in ByoaNets
4 years ago
Ross Wightman d5473c17f7 Fix incorrect name of shortcut/identity paths in many residual nets. Inherited from naming in old old torchvision, long fixed there.
4 years ago
Ross Wightman 0d87650fea Remove filter hack from BlurPool w/ non-persistent buffer. Use BlurPool2d instead of AntiAliasing.. for TResNet. Breaks PyTorch < 1.6.
4 years ago
Ross Wightman ddc743fdf8 Update ResNet-RS models to EMA weights
4 years ago
Ross Wightman 08d60f4a9a resnetrs50 pool sizing wrong
4 years ago
Ross Wightman 1daa15ecc3 Initial Cait commit. Still some cleanup to do.
4 years ago
Ross Wightman 67d0665b46 Post ResNet-RS merge cleanup. Add weight urls, adjust train/test/crop pct.
4 years ago
Aman Arora 560eae38f5
[WIP] Add ResNet-RS models (#554)
4 years ago
Ross Wightman 9cc7dda6e5 Fixup byoanet configs to pass unit tests. Add swin_attn and swinnet26t model for testing.
4 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.
4 years ago
Ross Wightman e5e15754c9 Fix coat first conv ident
4 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.
4 years ago
Ross Wightman 026430c083 Merge branch 'master' of https://github.com/morizin/pytorch-image-models-1 into morizin-master
4 years ago
Ross Wightman a0492e3b48 A few miil weights naming tweaks to improve compat with model registry and filtering wildcards.
4 years ago
talrid 8c1f03e56c comment
4 years ago
talrid 19e1b67a84 old spaces
4 years ago
talrid a443865876 update naming and scores
4 years ago
talrid cf0e371594 84_0
4 years ago
talrid 0968bdeca3 vit, tresnet and mobilenetV3 ImageNet-21K-P weights
4 years ago
morizin 1e3b6d4dfc
Update __init__.py
4 years ago
morizin fd022fd6a2
Update __init__.py
4 years ago
morizin c2d5087eae
Add files via upload
4 years ago
Norman Mu 79640fcc1f Enable uniform augmentation magnitude sampling and set AugMix default
4 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.
4 years ago
Ross Wightman e8a64fb881 Test input size for efficientnet_v2s was wrong in last results run
4 years ago
Ross Wightman 2df77ee5cb Fix torchscript compat and features_only behaviour in GhostNet PR. A few minor formatting changes. Reuse existing layers.
4 years ago
Ross Wightman d793deb51a Merge branch 'master' of https://github.com/iamhankai/pytorch-image-models into iamhankai-master
4 years ago
Ross Wightman e685618f45
Merge pull request #550 from amaarora/wandb
4 years ago
Ross Wightman f606c45c38 Add Swin Transformer models from https://github.com/microsoft/Swin-Transformer
4 years ago
iamhankai de445e7827 Add GhostNet
4 years ago
Ross Wightman 5a196dddf6 Update README.md with latest, bump version to 0.4.8
4 years ago
Ross Wightman b3d7580df1 Update ByoaNet comments. Fix first Steam feat chs for ByobNet.
4 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
4 years ago
Ross Wightman 4e4b863b15 Missed norm.py
4 years ago
Ross Wightman 7c97e66f7c Remove commented code, add more consistent seed fn
4 years ago
Ross Wightman 364dd6a58e Merge branch 'master' into byoanet-self_attn
4 years ago
Ross Wightman ce62f96d4d ByoaNet with bottleneck transformer, lambda resnet, and halo net experiments
4 years ago
Ross Wightman cd3dc4979f Fix adabelief imports, remove prints, preserve memory format is the default arg for zeros_like
4 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.
4 years ago
Aman Arora 5772c55c57 Make wandb optional
4 years ago
Aman Arora f54897cc0b make wandb not required but rather optional as huggingface_hub
4 years ago
Aman Arora 3f028ebc0f import wandb in summary.py
4 years ago
Aman Arora 624c9b6949 log to wandb only if using using wandb
4 years ago
juntang addfc7c1ac adabelief
4 years ago
Ross Wightman fb896c0b26 Update some comments re preliminary EfficientNet-V2 assumptions
4 years ago
Ross Wightman 2b49ab7a36 Fix ResNetV2 pretrained classifier issue. Fixes #540
4 years ago
Ross Wightman de9dff933a EfficientNet-V2S preliminary model def (for experimentation)
4 years ago
Ross Wightman 37c71a5609 Some further create_optimizer_v2 tweaks, remove some redudnant code, add back safe model str. Benchmark step times per batch.
4 years ago
Ross Wightman 2bb65bd875 Wrong default_cfg pool_size for L1
4 years ago
Ross Wightman bf2ca6bdf4 Merge jax and original weight init
4 years ago
Ross Wightman acbd698c83 Update README.md with updates. Small tweak to head_dist handling.
4 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.
4 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.
4 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
4 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.
4 years ago
Ross Wightman a5310a3451 Merge remote-tracking branch 'origin/benchmark-fixes-vit_hybrids' into pit_and_vit_update
4 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
4 years ago
Ross Wightman a760a4c3f4 Some ViT cleanup, merge distilled model with main, fixup torchscript support for distilled models
4 years ago
Ross Wightman 0dfc5a66bb Add PiT model from https://github.com/naver-ai/pit
4 years ago
Ross Wightman 51febd869b Small tweak to tests for tnt model, reorder model imports.
4 years ago
Ross Wightman b27a4e0d88 Merge branch 'master' of https://github.com/contrastive/pytorch-image-models into contrastive-master
4 years ago
Aman Arora 6b18061773 Add GIST to docstring for quick access
4 years ago
contrastive de86314655 Update TNT
4 years ago
Aman Arora 92b1db9a79 update docstrings and add check on and
4 years ago
Aman Arora b85be24054 update to work with fnmatch
4 years ago
contrastive cfc15283a4 Update TNT url
4 years ago
contrastive 4a09bc851e Add TNT model
4 years ago
Aman Arora 20626e8387 Add to extract stats for SPP
4 years ago
Ross Wightman cf5fec5047 Cleanup experimental vit weight init a bit
4 years ago
Ross Wightman f42f1df26c Improve evenness of per-worker split for validation set with TFDS
4 years ago
Ross Wightman cbcb76d72c Should have included Conv2d layers in original weight init. Lets see what the impact is...
4 years ago
Ross Wightman 4de57ccf01 Add weight init scheme that's closer to JAX impl
4 years ago
Ross Wightman 14ac4abf74 Change huggingface hub revision delimiter to '@', add hf_hub reference for eca_nfnet_l0 model as an example.
4 years ago
Ross Wightman 740f32c96a Add ECA-NFNet-L0 weights and update model name. Update README and bump version to 0.4.6
4 years ago