Update README.md

README.md

@@ -169,10 +169,6 @@ See script `train_test_metric.sh` for an example of training and testing the met
 
 You can also train "scratch" and "tune" versions by running `train_test_metric_scratch.sh` and `train_test_metric_tune.sh`, respectively. 
 
-### Docker Environment
-
-[Docker](https://hub.docker.com/r/shinyeyes/perceptualsimilarity/) set up by [SuperShinyEyes](https://github.com/SuperShinyEyes).
-
 ## Citation
 
 If you find this repository useful for your research, please use the following.
@@ -188,4 +184,4 @@ If you find this repository useful for your research, please use the following.
 
 ## Acknowledgements
 
-This repository borrows partially from the [pytorch-CycleGAN-and-pix2pix](https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix) repository. The average precision (AP) code is borrowed from the [py-faster-rcnn](https://github.com/rbgirshick/py-faster-rcnn/blob/master/lib/datasets/voc_eval.py) repository. Backpropping through the metric was implemented by [Angjoo Kanazawa](https://github.com/akanazawa).
+This repository borrows partially from the [pytorch-CycleGAN-and-pix2pix](https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix) repository. The average precision (AP) code is borrowed from the [py-faster-rcnn](https://github.com/rbgirshick/py-faster-rcnn/blob/master/lib/datasets/voc_eval.py) repository. [Angjoo Kanazawa](https://github.com/akanazawa), [Connelly Barnes](http://www.connellybarnes.com/work/), [Gaurav Mittal](https://github.com/g1910), [wilhelmhb](https://github.com/wilhelmhb), [Filippo Mameli](https://github.com/mameli), [SuperShinyEyes](https://github.com/SuperShinyEyes) helped to improve the codebase.