### Installing ImageHash Python Library

Source: https://github.com/johannesbuchner/imagehash/blob/master/README.rst

This command installs the ImageHash library using pip, the Python package installer. It ensures all necessary dependencies like PIL/Pillow Image, numpy, and scipy.fftpack are also installed, making the library ready for use in Python projects.

```bash
pip install imagehash
```

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

### Generating and Restoring Crop-Resistant Image Hash (Python)

Source: https://github.com/johannesbuchner/imagehash/blob/master/README.rst

This example illustrates the use of `imagehash.crop_resistant_hash` to generate a hash for an image, which is robust against cropping. It then converts the hash to a string, restores it using `imagehash.hex_to_multihash`, and asserts that the restored hash and its string representation match the original.

```Python
original_hash = imagehash.crop_resistant_hash(Image.open('tests/data/imagehash.png'), min_segment_size=500, segmentation_image_size=1000)
hash_as_str = str(original_hash)
restored_hash = imagehash.hex_to_multihash(hash_as_str)
assert restored_hash == original_hash
assert str(restored_hash) == hash_as_str
```

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

### Converting ImageHash Objects to Strings in Python

Source: https://github.com/johannesbuchner/imagehash/blob/master/README.rst

This example shows how to convert an `ImageHash` object, specifically a perceptual hash (`phash`), into its string representation. This is useful for storing hashes in databases or files, allowing them to be easily retrieved and reconstructed later. Requires PIL/Pillow and imagehash libraries.

```python
original_hash = imagehash.phash(Image.open('tests/data/imagehash.png'))
hash_as_str = str(original_hash)
print(hash_as_str)
```

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

### Generating and Restoring Color Hash (Python)

Source: https://github.com/johannesbuchner/imagehash/blob/master/README.rst

This snippet demonstrates how to generate a `colorhash` for an image using `imagehash.colorhash` with a specified `binbits` parameter. It then converts the hash to a string and attempts to restore it using `imagehash.hex_to_flathash`, indicating a potential conversion for flat hash types.

```Python
original_hash = imagehash.colorhash(Image.open('tests/data/imagehash.png'), binbits=3)
hash_as_str = str(original_hash)
restored_hash = imagehash.hex_to_flathash(hash_as_str, hashsize=3)
```

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

### Calculating Average Image Hashes and Hamming Distance in Python

Source: https://github.com/johannesbuchner/imagehash/blob/master/README.rst

This snippet demonstrates how to calculate average hashes for two images using the `imagehash` library and PIL/Pillow. It then shows how to compare these hashes for equality and compute their Hamming distance, which quantifies their visual dissimilarity. Requires PIL/Pillow and imagehash libraries.

```python
from PIL import Image
import imagehash
hash = imagehash.average_hash(Image.open('tests/data/imagehash.png'))
print(hash)
otherhash = imagehash.average_hash(Image.open('tests/data/peppers.png'))
print(otherhash)
print(hash == otherhash)
print(hash - otherhash)  # hamming distance
```

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

### Restoring Standard Image Hash from Hex String (Python)

Source: https://github.com/johannesbuchner/imagehash/blob/master/README.rst

This snippet demonstrates how to convert a hexadecimal string back into an `imagehash` object using `imagehash.hex_to_hash`. It then verifies that the restored hash matches the original and that its string representation is identical to the input hexadecimal string.

```Python
restored_hash = imagehash.hex_to_hash(hash_as_str)
print(restored_hash)
assert restored_hash == original_hash
assert str(restored_hash) == hash_as_str
```

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