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grammar, punctuation and spelling corrections to README.md #36

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10 changes: 5 additions & 5 deletions README.md
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Expand Up @@ -19,7 +19,7 @@ This is an official pytorch implementation of [*Simple Baselines for Human Pose
| 384x384_pose_resnet_152_d256d256d256 | 96.794 | 95.618 | 90.080 | 86.225 | 89.700 | 86.862 | 82.853 | 90.200 | 39.433 |

### Note:
- Flip test is used
- The flip test is used

### Results on COCO val2017 with detector having human AP of 56.4 on COCO val2017 dataset
| Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) |
Expand All @@ -32,11 +32,11 @@ This is an official pytorch implementation of [*Simple Baselines for Human Pose
| 384x288_pose_resnet_152_d256d256d256 | 0.743 | 0.896 | 0.811 | 0.705 | 0.816 | 0.797 | 0.937 | 0.858 | 0.751 | 0.863 |

### Note:
- Flip test is used
- The flip test is used
- 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 are needed. The code is developed and tested using 4 NVIDIA P100 GPU cards. Other platforms or GPU cards 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 thoroughly tested.

## Quick start
### Installation
Expand Down Expand Up @@ -72,8 +72,8 @@ The code is developed using python 3.6 on Ubuntu 16.04. NVIDIA GPUs are needed.
python3 setup.py install --user
```
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 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:
3. Download pytorch imagenet pre-trained models from [pytorch model zoo](https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo).
4. Download mpii and coco pre-trained 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}
Expand Down