davisking/dlib

Python binding for hash_samples (locality sensitive hash)

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#751 opened on Aug 14, 2017

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 (2 comments) (0 reactions) (0 assignees)C++ (12,570 stars) (3,314 forks)batch import
help wanted

Description

Hi, Davis! First of all thank You for a nice job! I'm interested in developing the python direction of Dlib. Therefore, I have the following request. Could You implement a python binding for working with DLib algorithms of Locality-sensitive hashing? First of all, the hash_samples algorithm.

Contributor guide

Tech stack
pythoncpp
Domain
apimachine learning
Issue type
feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-2 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
stale
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
mostly clear
Prerequisites
Python programmingC++ programmingdlib binding frameworkLocality sensitive hashing basics
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
40
Research direction
Examine existing Python binding implementations in dlib's 'tools/python/src' directory to understand the pattern for wrapping C++ classes and functions. Locate the C++ implementation of hash samples in the dlib source code (likely in 'dlib/lsh/'). Then, create a new module or extend existing bindings to expose the required functionality, ensuring proper documentation and tests.
Python binding for hash_samples (locality sensitive hash) · davisking/dlib#751 | Good First Issue