Update README.md

README.md

@@ -36,7 +36,7 @@ This is an official pytorch implementation of [*Simple Baselines for Human Pose
 - Person detector has person AP of 56.4 on COCO val2017 dataset 
 
 ## Environment
-The code is developed using python 3.6 on Ubuntu 16.04. NVIDIA GPUs ared needed. The code is developed and tested using 4 NVIDIA P100 GPUS cards. Other platform or GPU card are not fully tested.
+The code is developed using python 3.6 on Ubuntu 16.04. NVIDIA GPUs are needed. The code is developed and tested using 4 NVIDIA P100 GPU cards. Other platforms or GPU cards are not fully tested.
 
 ## Quick start
 ### Installation
@@ -73,7 +73,7 @@ The code is developed using python 3.6 on Ubuntu 16.04. NVIDIA GPUs ared needed.
    ```
    Note that instructions like # COCOAPI=/path/to/install/cocoapi indicate that you should pick a path where you'd like to have the software cloned and then set an environment variable (COCOAPI in this case) accordingly.
 3. Download pytorch imagenet pretrained models from [pytorch model zoo](https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo). 
-4. Download mpii and coco pretrained model from [OneDrive](https://1drv.ms/f/s!AhIXJn_J-blW0D5ZE4ArK9wk_fvw) or [GoogleDrive](https://drive.google.com/drive/folders/13_wJ6nC7my1KKouMkQMqyr9r1ZnLnukP?usp=sharing). Please download them under ${POSE_ROOT}/models/pytorch, and make them look like this:
+4. Download mpii and coco pretrained models from [OneDrive](https://1drv.ms/f/s!AhIXJn_J-blW0D5ZE4ArK9wk_fvw) or [GoogleDrive](https://drive.google.com/drive/folders/13_wJ6nC7my1KKouMkQMqyr9r1ZnLnukP?usp=sharing). Please download them under ${POSE_ROOT}/models/pytorch, and make them look like this:
 
    ```
    ${POSE_ROOT}
@@ -107,7 +107,7 @@ The code is developed using python 3.6 on Ubuntu 16.04. NVIDIA GPUs ared needed.
    mkdir log
    ```
 
-   and your directory tree should like this
+   and your directory tree should look like this
 
    ```
    ${POSE_ROOT}
@@ -123,7 +123,7 @@ The code is developed using python 3.6 on Ubuntu 16.04. NVIDIA GPUs ared needed.
    ```
 
 ### Data preparation
-**For MPII data**, please download from [MPII Human Pose Dataset](http://human-pose.mpi-inf.mpg.de/), the original annotation files are matlab's format. We have converted to json format, you also need download them from [OneDrive](https://1drv.ms/f/s!AhIXJn_J-blW00SqrairNetmeVu4) or [GoogleDrive](https://drive.google.com/drive/folders/1En_VqmStnsXMdldXA6qpqEyDQulnmS3a?usp=sharing).
+**For MPII data**, please download from [MPII Human Pose Dataset](http://human-pose.mpi-inf.mpg.de/). The original annotation files are in matlab format. We have converted them into json format, you also need to download them from [OneDrive](https://1drv.ms/f/s!AhIXJn_J-blW00SqrairNetmeVu4) or [GoogleDrive](https://drive.google.com/drive/folders/1En_VqmStnsXMdldXA6qpqEyDQulnmS3a?usp=sharing).
 Extract them under {POSE_ROOT}/data, and make them look like this:
 ```
 ${POSE_ROOT}
@@ -140,7 +140,7 @@ ${POSE_ROOT}
             |-- 000003072.jpg
 ```
 
-**For COCO data**, please download from [COCO download](http://cocodataset.org/#download), 2017 Train/Val is needed for COCO keypoints training and validation. We also provide person detection result of COCO val2017 for reproduce our multi-person pose estimation results. Please download from [OneDrive](https://1drv.ms/f/s!AhIXJn_J-blWzzDXoz5BeFl8sWM-) or [GoogleDrive](https://drive.google.com/drive/folders/1fRUDNUDxe9fjqcRZ2bnF_TKMlO0nB_dk?usp=sharing).
+**For COCO data**, please download from [COCO download](http://cocodataset.org/#download), 2017 Train/Val is needed for COCO keypoints training and validation. We also provide person detection result of COCO val2017 to reproduce our multi-person pose estimation results. Please download from [OneDrive](https://1drv.ms/f/s!AhIXJn_J-blWzzDXoz5BeFl8sWM-) or [GoogleDrive](https://drive.google.com/drive/folders/1fRUDNUDxe9fjqcRZ2bnF_TKMlO0nB_dk?usp=sharing).
 Download and extract them under {POSE_ROOT}/data, and make them look like this:
 ```
 ${POSE_ROOT}