### Install pdqhash

Source: https://github.com/faustomorales/pdqhash-python/blob/master/README.md

Installs the pdqhash Python package using pip. This is the standard method for adding the library to your Python environment.

```bash
pip install pdqhash
```

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

### Initialize Local Development Environment

Source: https://github.com/faustomorales/pdqhash-python/blob/master/README.md

Sets up the local development environment for the pdqhash-python project using the 'make init' command. Requires pipenv to be installed.

```bash
make init
```

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

### Run Project Tests

Source: https://github.com/faustomorales/pdqhash-python/blob/master/README.md

Executes the project's test suite using the 'make test' command. This is part of the contribution guidelines.

```bash
make test
```

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

### Run Tests in Docker

Source: https://github.com/faustomorales/pdqhash-python/blob/master/README.md

Runs the project's tests within a Docker container using the 'make docker_test' command. This ensures tests are run in a consistent environment.

```bash
make docker_test
```

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

### Compute PDQ Hash and Dihedral Variations

Source: https://github.com/faustomorales/pdqhash-python/blob/master/README.md

Demonstrates computing the PDQ perceptual hash for an image and its various rotations and flips. It requires the OpenCV library (cv2) and os module for image path manipulation.

```python
import pdqhash

image = cv2.imread(os.path.join('tests', 'images', image_name))
image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
hash_vector, quality = pdqhash.compute(image)

# Get all the rotations and flips in one pass.
# hash_vectors is a list of vectors in the following order
# - Original
# - Rotated 90 degrees
# - Rotated 180 degrees
# - Rotated 270 degrees
# - Flipped vertically
# - Flipped horizontally
# - Rotated 90 degrees and flipped vertically
# - Rotated 90 degrees and flipped horizontally
hash_vectors, quality = pdqhash.compute_dihedral(image)

# Get the floating point values of the hash.
hash_vector_float, quality = pdqhash.compute_float(image)
```

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