### Install Python Dependencies

Source: https://github.com/vegetebird/stridedtransformer-pose3d/blob/main/README.md

Installs required Python packages listed in the requirements.txt file using pip.

```bash
pip3 install -r requirements.txt
```

--------------------------------

### Displaying Expected Dataset Directory Structure (bash)

Source: https://github.com/vegetebird/stridedtransformer-pose3d/blob/main/dataset/README.md

This snippet shows the expected directory structure within the project's root directory (${POSE_ROOT}) after the Human3.6M dataset has been set up. It highlights the location of the necessary .npz data files.

```bash
${POSE_ROOT}/\n|-- dataset\n|   |-- data_3d_h36m.npz\n|   |-- data_2d_h36m_gt.npz\n|   |-- data_2d_h36m_cpn_ft_h36m_dbb.npz
```

--------------------------------

### Train Model on Human3.6M

Source: https://github.com/vegetebird/stridedtransformer-pose3d/blob/main/README.md

Starts the training process for the model on the Human3.6M dataset with default settings.

```bash
python main.py
```

--------------------------------

### Run Demo on Video

Source: https://github.com/vegetebird/stridedtransformer-pose3d/blob/main/README.md

Executes the visualization script for the demo, processing a specified video file to generate 3D pose output.

```bash
python demo/vis.py --video sample_video.mp4
```

--------------------------------

### Test Pretrained Model on Human3.6M

Source: https://github.com/vegetebird/stridedtransformer-pose3d/blob/main/README.md

Runs the main script in test mode using a pretrained model from the specified directory, enabling refinement and reloading.

```bash
python main.py --test --refine --reload --refine_reload --previous_dir 'checkpoint/pretrained'
```

--------------------------------

### Test Strided Transformer Pose3D Model (Bash)

Source: https://github.com/vegetebird/stridedtransformer-pose3d/blob/main/checkpoint/README.md

Command to test the pretrained Strided Transformer Pose3D model on the Human3.6M dataset using the main script. It enables testing, refinement, reloading the main model, reloading the refinement model, and specifies the directory of the pretrained checkpoint.

```bash
python main.py --test --refine --reload --refine_reload --previous_dir 'checkpoint/pretrained'
```

--------------------------------

### Train Model with Refine Module

Source: https://github.com/vegetebird/stridedtransformer-pose3d/blob/main/README.md

Continues training with the refinement module enabled, using a specified learning rate and reloading a previously saved model.

```bash
python main.py --refine --lr 1e-5 --reload --previous_dir [your model saved path]
```

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