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https://github.com/vietanhdev/deep-human-pose


https://github.com/vietanhdev/deep-human-pose

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README

          

# Deep Human Pose

## I. Introduction

- Human keypoint detection.

## II. Environment:

- We use Tensorflow 2.0.0.
- Install environment from `environment.yml` file using Anaconda and Miniconda and activate that environment.

## III. Training and testing

### Training

- Modify config files at `config_shufflenetv2.json` and `config_efficientnet.json` to use for training and testing.

- Example of commands for training:

```
python train.py -c config_shufflenetv2.json
```

Or

```
python train.py -c config_efficientnet.json
```

### Testing

```
python test.py -c config_shufflenetv2.json
```

Or

```
python test.py -c config_efficientnet.json
```

### References

- MPII dataset to json: https://raw.githubusercontent.com/mitmul/deeppose/master/datasets/mpii_dataset.py.