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What is a perceptual hash? A perceptual hash is a fingerprint of a multimedia file derived from various features from its content. Unlike cryptographic hash functions which rely on the avalanche effect of small changes in input leading to drastic changes in the output, perceptual hashes are "close" to one another if the features are similar. Relevance of Perceptual Hashing Perceptual hashes must b
Check out the related post: Loading TensorFlow graphs from Node.js (using the C API). The current documentation around loading a graph with C++ is pretty sparse so I spent some time setting up a barebones example. In the TensorFlow repo there are more involved examples, such as building a graph in C++. However, the C++ API for constructing graphs is not as complete as the Python API. Many features
1. Summary The following two objects and eight methods comprise the essential elements of the SQLite interface: sqlite3 → The database connection object. Created by sqlite3_open() and destroyed by sqlite3_close(). sqlite3_stmt → The prepared statement object. Created by sqlite3_prepare() and destroyed by sqlite3_finalize(). sqlite3_open() → Open a connection to a new or existing SQLite database. T
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