English grammar and header capitalization consistency fixes

README.md

 ![image](./imgs/hand.gif)
 # <img src="./imgs/icon.jpg" width="48">DeepMosaics
 You can use it to automatically remove the mosaics in images and videos, or add mosaics to them.<br>
-This porject based on "semantic segmentation" and "Image-to-Image Translation".<br>
+This project is based on "semantic segmentation" and "Image-to-Image Translation".<br>
 
 * [中文版README](./README_CN.md)<br>
 
-### More example
+### More Examples
 
 origin | auto add mosaic |  auto clean mosaic  
 :-:|:-:|:-:
@@ -28,24 +28,24 @@ origin | to Van Gogh | to winter
 An interesting example:[Ricardo Milos to cat](https://www.bilibili.com/video/BV1Q7411W7n6)
 
 ## Run DeepMosaics
-You can either run DeepMosaics via pre-built binary package or from source.<br>
+You can either run DeepMosaics via a pre-built binary package, or from source.<br>
 
 ### Pre-built binary package
-For windows, we bulid a GUI version for easy test.<br>
-Download this version and pre-trained model via [[Google Drive]](https://drive.google.com/open?id=1LTERcN33McoiztYEwBxMuRjjgxh4DEPs)  [[百度云,提取码1x0a]](https://pan.baidu.com/s/10rN3U3zd5TmfGpO_PEShqQ) <br>
+For Windows, we bulid a GUI version for easy testing.<br>
+Download this version, and a pre-trained model via [[Google Drive]](https://drive.google.com/open?id=1LTERcN33McoiztYEwBxMuRjjgxh4DEPs)  [[百度云,提取码1x0a]](https://pan.baidu.com/s/10rN3U3zd5TmfGpO_PEShqQ) <br>
 
 * [[How to use]](./docs/exe_help.md)<br>
 
 ![image](./imgs/GUI.png)<br>
 Attentions:<br>
 
-  - Require Windows_x86_64, Windows10 is better.<br>
+  - Requires Windows_x86_64, Windows10 is better.<br>
   - Different pre-trained models are suitable for different effects.[[Introduction to pre-trained models]](./docs/pre-trained_models_introduction.md)<br>
-  - Run time depends on computer performance(The current version does not support gpu, if you need to use gpu please run source).<br>
+  - Run time depends on computers performance(The current version does not support gpu, if you need to use gpu please run source).<br>
   - If output video cannot be played, you can try with [potplayer](https://daumpotplayer.com/download/).<br>
-  - GUI version update slower than source.<br>
+  - GUI version updates slower than source.<br>
 
-### Run from source
+### Run From Source
 #### Prerequisites
   - Linux, Mac OS, Windows
   - Python 3.6+
@@ -59,12 +59,12 @@ This code depends on opencv-python, torchvision available via pip install.
 git clone https://github.com/HypoX64/DeepMosaics
 cd DeepMosaics
 ```
-#### Get pre-trained models
+#### Get Pre-Trained Models
 You can download pre_trained models and put them into './pretrained_models'.<br>
 [[Google Drive]](https://drive.google.com/open?id=1LTERcN33McoiztYEwBxMuRjjgxh4DEPs)  [[百度云,提取码1x0a]](https://pan.baidu.com/s/10rN3U3zd5TmfGpO_PEShqQ)<br>
 [[Introduction to pre-trained models]](./docs/pre-trained_models_introduction.md)<br>
 
-#### Simple example
+#### Simple Example
 * Add Mosaic (output media will save in './result')<br>
 ```bash
 python deepmosaic.py --media_path ./imgs/ruoruo.jpg --model_path ./pretrained_models/mosaic/add_face.pth --use_gpu 0
@@ -73,13 +73,13 @@ python deepmosaic.py --media_path ./imgs/ruoruo.jpg --model_path ./pretrained_mo
 ```bash
 python deepmosaic.py --media_path ./result/ruoruo_add.jpg --model_path ./pretrained_models/mosaic/clean_face_HD.pth --use_gpu 0
 ```
-#### More parameters
-If you want to test other image or video, please refer to this file.<br>
+#### More Parameters
+If you want to test other images or videos, please refer to this file.<br>
 [[options_introduction.md]](./docs/options_introduction.md) <br>
 
-## Training with your own dataset
+## Training With Your Own Dataset
 If you want to train with your own dataset, please refer to [training_with_your_own_dataset.md](./docs/training_with_your_own_dataset.md)
 
-## Acknowledgments
+## Acknowledgements
 This code borrows heavily from [[pytorch-CycleGAN-and-pix2pix]](https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix) [[Pytorch-UNet]](https://github.com/milesial/Pytorch-UNet) [[pix2pixHD]](https://github.com/NVIDIA/pix2pixHD) [[BiSeNet]](https://github.com/ooooverflow/BiSeNet).