From 5e333b899fe7a8928cf6ed15cf7e68abf2231ada Mon Sep 17 00:00:00 2001 From: Ross Wightman Date: Wed, 5 Aug 2020 13:17:39 -0700 Subject: [PATCH] README / doc tweaks --- README.md | 3 +++ docs/changes.md | 2 +- docs/models.md | 2 +- 3 files changed, 5 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 1291d1cd..e403ed47 100644 --- a/README.md +++ b/README.md @@ -16,6 +16,9 @@ Universal feature extraction, new models, new weights, new test sets. * DPN68b - 79.2 top-1 * EfficientNet-Lite0 (non-TF ver) - 75.5 (trained by @hal-314) * Add 'real' labels for ImageNet and ImageNet-Renditions test set, see [`results/README.md`](results/README.md) +* Train script and loader/transform tweaks to punch through more aug arguments +* README and documentation overhaul. See initial (WIP) documentation at https://rwightman.github.io/pytorch-image-models/ + ### June 11, 2020 Bunch of changes: diff --git a/docs/changes.md b/docs/changes.md index 00ac57d4..2e63fe23 100644 --- a/docs/changes.md +++ b/docs/changes.md @@ -1,4 +1,4 @@ -# Changes +# Recent Changes ### Aug 1, 2020 Universal feature extraction, new models, new weights, new test sets. diff --git a/docs/models.md b/docs/models.md index 75fb40f7..a0268138 100644 --- a/docs/models.md +++ b/docs/models.md @@ -94,7 +94,7 @@ The validation results for the pretrained weights can be found [here](results.md * Weights: https://github.com/facebookresearch/semi-supervised-ImageNet1K-models (NOTE: CC BY-NC 4.0 License, NOT commercial friendly) * Squeeze-and-Excitation Networks * Paper: `Squeeze-and-Excitation Networks` - https://arxiv.org/abs/1709.01507 - * Code: Added code to my ResNet base, this is current version going forward, old senet.py is being deprecated + * Code: Added to ResNet base, this is current version going forward, old `senet.py` is being deprecated * ECAResNet (ECA-Net) * Paper: `ECA-Net: Efficient Channel Attention for Deep CNN` - https://arxiv.org/abs/1910.03151v4 * Code: Added to ResNet base, ECA module contributed by @VRandme, reference https://github.com/BangguWu/ECANet