videohash 2.0.1

videohash - Perceptual Video Hashing package

VideoHash

Python package for Perceptual Video Hashing

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Installation

You must have FFmpeg installed to use this software. If you don't know how to install FFmpeg, please read How to install FFmpeg.

Install videohash

• Using pip:

pip install videohash

• Install directly from GitHub:

pip install git+https://github.com/akamhy/videohash.git

Features

• Generate videohash of a video directly from its URL or its path.
• Image representation of the video is accessible by the end-user.
• An instance of videohash can be compared with a stored hash(64-bit), its hex representation, and other instances of videohash.
• Faster than the primitive process of comparing all the frames one by one. The videohash package produces a single 64-bit hash, a lot of database space is saved. And the number of comparisons required drops significantly.

Usage

Extended Usage

>>> from videohash import VideoHash
>>> hash1 = VideoHash(url="https://www.youtube.com/watch?v=PapBjpzRhnA", download_worst=False)
>>> str(hash1)
'0b0011010000011111111011111111111110001111011110000000000000000000'
>>> hash1.hash
'0b0011010000011111111011111111111110001111011110000000000000000000'
>>> hash1.hash_hex
'0x341fefff8f780000'
>>> repr(hash1)
'VideoHash(hash=0b0011010000011111111011111111111110001111011110000000000000000000, hash_hex=0x341fefff8f780000, collage_path=/tmp/tmpe07d_b1g/temp_storage_dir/acn6zsdcb40q/collage/collage.jpg, bits_in_hash=64)'
>>> hash1.collage_path
'/tmp/tmpe07d_b1g/temp_storage_dir/acn6zsdcb40q/collage/collage.jpg'
>>> hash1.bits_in_hash
64
>>> len(hash1)
66
>>> hash2 = VideoHash(url="https://raw.githubusercontent.com/akamhy/videohash/main/assets/rocket.mkv")
>>> hash2.hash
'0b0011010000011111111011111111111110001111011110000000000000000000'
>>> hash2.hash_hex
'0x341fefff8f780000'
>>> hash1.hash_hex
'0x741fcfff8f780000'
>>> hash1 - hash2
0
>>> hash2 - "0x341fefff8f780000"
0
>>> hash1 - "0b0011010000011111111011111111111110001111011110000000000000000000"
2
>>> hash1 == hash2
True
>>> hash1 != hash2
False
>>> hash3 = VideoHash(path="/home/akamhy/Downloads/rocket.mkv")
>>> hash3.hash_hex
'0x341fefff8f780000'
>>> hash3.hash
'0b0011010000011111111011111111111110001111011110000000000000000000'
>>> hash3 - hash2
0
>>> hash3 == hash1
False
>>> hash3 == hash2
True
>>> hash4 = VideoHash(url="https://www.youtube.com/watch?v=_T8cn2J13-4")
>>> hash4.hash_hex
'0x7cffff000000eff0'
>>> hash4 - "0x7cffff000000eff0"
0
>>> hash4.hash
'0b0111110011111111111111110000000000000000000000001110111111110000'
>>> hash4 - "0b0111110011111111111111110000000000000000000000001110111111110000"
0
>>> hash4 == hash3
False
>>> hash4 - hash2
34
>>> hash4 != hash2
True
>>> hash4 - "0b0011010000011111111011111111111110001111011110000000000000000000"
34
>>>

_{Run the above code @ https://replit.com/@akamhy/videohash-usage-2xx-example-code-for-video-hashing#main.py}

Wiki/Usage/Docs : https://github.com/akamhy/videohash/wiki

License

Released under the MIT License. See license for details.

Videos are from NASA and are in the public domain.

NASA videos are in the public domain. NASA copyright policy states that "NASA material is not protected by copyright unless noted".

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