talrid
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1c92755bb6
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Merge branch 'master' of https://github.com/mrT23/pytorch-image-models
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5 years ago |
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talrid
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011a11d987
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TResNet models
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5 years ago |
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talrid
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8a63c1add8
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finalizing
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5 years ago |
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talrid
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6209146738
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TResNet models
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5 years ago |
mrT23
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98a7403ed4
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Merge pull request #1 from rwightman/master
merge master
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5 years ago |
Ross Wightman
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13cf68850b
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Remove poorly named metrics from torch imagenet example origins. Use top1/top5 in csv output for consistency with existing validation results files, acc elsewhere. Fixes #111
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5 years ago |
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Ross Wightman
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56608c9070
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Bump version for pypi
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5 years ago |
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Ross Wightman
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0ebcd2eca1
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No default img size for inference script. Fixes #109
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5 years ago |
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Ross Wightman
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1a8f5900ab
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Update EfficientNet feature extraction for EfficientDet. Add needed MaxPoolSame as well.
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5 years ago |
Ross Wightman
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e01ccb88ce
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Merge pull request #117 from VRandme/typo_eca
minor PR to fix typos found in #116 and resnet.py
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5 years ago |
Chris Ha
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06a50a94a8
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Fix minor typos in create_attn.py and resnet.py
'eca'->'ceca'
and
doest not-> does not
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5 years ago |
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Ross Wightman
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1a9ab07307
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One too many changes at a time, fix missing C
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5 years ago |
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Ross Wightman
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f17b42bc33
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Blur filter no longer a buffer
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5 years ago |
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Ross Wightman
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6cdeca24a3
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Some cleanup and fixes for initial BlurPool impl. Still some testing and tweaks to go...
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5 years ago |
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Chris Ha
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acd1b6cccd
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Implement Functional Blur on resnet.py
1. add ResNet argument blur=''
2. implement blur for maxpool and strided convs in downsampling blocks
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5 years ago |
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Chris Ha
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ce3d82b58b
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Update blurpool.py
clean up code for PR
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5 years ago |
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Chris Ha
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3a287a6e76
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Create blurpool.py
Initial implementation of blur layer.
currently tests as correct against Downsample of original github
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5 years ago |
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Ross Wightman
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c99a5abed4
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Merge pull request #115 from rwightman/mobilenetv2-experiment
MobileNet-V2 experiments
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5 years ago |
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Ross Wightman
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e34074b4da
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Add final weights for MobileNet-V2 experiments
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5 years ago |
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Ross Wightman
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a6a5565de7
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Fiddling...
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5 years ago |
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Ross Wightman
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5a16c533ff
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Add better resnext50_32x4d weights trained by andravin
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5 years ago |
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Ross Wightman
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bc998cad91
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Experimenting with some MobileNetV2 variations to compare against EfficientNet-Lite
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5 years ago |
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Ross Wightman
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71b5cd67da
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Merge pull request #105 from rwightman/efficientnet-lite
EfficientNet-Lite
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5 years ago |
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Ross Wightman
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ef30e7f2b6
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Update sotabench with EffNet Lite models
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5 years ago |
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Ross Wightman
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3406e582cf
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Add EfficientNet-Lite results, update README
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5 years ago |
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Ross Wightman
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bd05258f7b
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EfficientNet-Lite model added w/ converted checkpoints, validation in progress...
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5 years ago |
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Ross Wightman
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7deacf5477
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Merge pull request #99 from andravin/save-last
Modified save_checkpoint to always save last checkpoint. Fixes #98.
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5 years ago |
Andrew Lavin
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d92cc4da54
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Modified save_checkpoint to always save last checkpoint. Fixes #98.
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5 years ago |
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Ross Wightman
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56e2ac3a6d
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Merge pull request #94 from rwightman/lr_noise
Learning rate noise, MobileNetV3 weights, and activate MobileNetV3/EfficientNet weight init change
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5 years ago |
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Ross Wightman
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c16f25ced2
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Add MobileNetV3 Large weights, results, update README and sotabench for merge
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5 years ago |
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Ross Wightman
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c60069c1eb
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Annotate types on drop fns to avoid torchscript error
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5 years ago |
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Ross Wightman
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9fee316752
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Enable fixed fanout calc in EfficientNet/MobileNetV3 weight init by default. Fix #84
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5 years ago |
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Ross Wightman
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27b3680d49
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Revamp LR noise, move logic to scheduler base. Fixup PlateauLRScheduler and add it as an option.
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5 years ago |
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Ross Wightman
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cc5a11abba
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version bump for PyPi update
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5 years ago |
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Ross Wightman
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514b0938c4
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Experimenting with per-epoch learning rate noise w/ step scheduler
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5 years ago |
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Ross Wightman
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d77f45a6f6
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Forgot to add skresnet34 to sotabench
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5 years ago |
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Ross Wightman
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6620770665
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Simpler approach to loading entrypoints in hubconf works properly
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5 years ago |
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Ross Wightman
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e0685dd415
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Merge pull request #88 from rwightman/attention
A lot of attention and much more
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5 years ago |
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Ross Wightman
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f1860ef3a5
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Update README.md, check in hubconf experiment (fully dynamic)
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5 years ago |
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Ross Wightman
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43225d110c
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Unify drop connect vs drop path under 'drop path' name, switch all EfficientNet/MobilenetV3 refs to 'drop_path'. Update factory to handle new drop args.
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5 years ago |
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Ross Wightman
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f1d5f8a6c4
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Update comments for Selective Kernel and DropBlock/Path impl, add skresnet34 weights
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5 years ago |
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Ross Wightman
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670c61b28f
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Some cutmix/mixup cleanup/fixes
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5 years ago |
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Ross Wightman
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b3cb5f3275
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Working on CutMix impl as per #8, integrating with Mixup, currently experimenting...
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5 years ago |
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Ross Wightman
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569419b38d
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Tweak some comments, add SKNet models with weights to sotabench, remove an unused branch
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5 years ago |
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Ross Wightman
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91e2b33d72
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Update results with latest NoisyStudent models and SelectiveKernel models
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5 years ago |
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Ross Wightman
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53c47479c4
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Batch validation batch size adjustment, tweak L2 crop pct
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5 years ago |
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Ross Wightman
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08553e16b3
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Merge branch 'master' into attention
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5 years ago |
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Ross Wightman
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fa38f24967
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Update SK network configs, add weights for skresnet8 and skresnext50
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5 years ago |
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Ross Wightman
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f098fda2ca
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Add map_location='cpu' to ModelEma resume, should improve #72
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5 years ago |
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Ross Wightman
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b9496995d8
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Add L2-475 PyTorch preprocessing result, update sotabench for new weights
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5 years ago |
