README / doc tweaks

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:

docs/changes.md

@@ -1,4 +1,4 @@
-# Changes
+# Recent Changes
 
 ### Aug 1, 2020
 Universal feature extraction, new models, new weights, new test sets.

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