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Fix link in README of DeepCreamPy #32

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2 changes: 1 addition & 1 deletion README.md
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# Detecting censors with deep learning and computer vision

Illustrated adult content created in Japan is required to be censored by law. Two common types of censoring involves censor bars and mosaic blurs. For us degenerates living outside of Japan, this means we are also subject to the bars and mosaics. There is a solution, [DeepCreamPy](https://github.com/deeppomf/DeepCreamPy) by deeppomf that can draw over the censors, given that you tell it where the censors are. That is a long and painstaking process, so I hope to automate that process with this project. This project will utilize deep learning and image segmentation, techniques typically used in autonomous vehicles and computer vision tasks. New for 1.6.3, we added ESRGAN as an alternative to DeepCreamPy, which will also decensor a mosaic image/video after the detection.
Illustrated adult content created in Japan is required to be censored by law. Two common types of censoring involves censor bars and mosaic blurs. For us degenerates living outside of Japan, this means we are also subject to the bars and mosaics. There is a solution, [DeepCreamPy](https://github.com/liaoxiong3x/DeepCreamPy) by deeppomf that can draw over the censors, given that you tell it where the censors are. That is a long and painstaking process, so I hope to automate that process with this project. This project will utilize deep learning and image segmentation, techniques typically used in autonomous vehicles and computer vision tasks. New for 1.6.3, we added ESRGAN as an alternative to DeepCreamPy, which will also decensor a mosaic image/video after the detection.

This is built atop Matterport's [Mask R-CNN](https://arxiv.org/abs/1703.06870), and video decensoring uses [ESRGAN](https://arxiv.org/abs/1809.00219).

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