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43e2587041
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.gitignore
vendored
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.gitignore
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Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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cover/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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.pybuilder/
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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# For a library or package, you might want to ignore these files since the code is
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# intended to run in multiple environments; otherwise, check them in:
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# .python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# pytype static type analyzer
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.pytype/
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# Cython debug symbols
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cython_debug/
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# Configuration files
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*.conf
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*.cfg
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*.ini
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1
README.md
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1
README.md
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== image_classifier
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0
image_classifier/__init__.py
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0
image_classifier/__init__.py
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image_classifier/image_classifier.py
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image_classifier/image_classifier.py
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#!/usr/bin/env python3
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# -*- encoding: utf-8 -*-
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#
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# This script is licensed under GNU GPL version 2.0 or above
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# (c) 2021 Antonio J. Delgado
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#
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import sys
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import os
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import logging
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import json
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import click
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import click_config_file
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from logging.handlers import SysLogHandler
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import face_recognition
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import exif
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class CustomFormatter(logging.Formatter):
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"""Logging colored formatter, adapted from https://stackoverflow.com/a/56944256/3638629"""
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grey = '\x1b[38;21m'
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blue = '\x1b[38;5;39m'
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yellow = '\x1b[38;5;226m'
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red = '\x1b[38;5;196m'
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bold_red = '\x1b[31;1m'
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reset = '\x1b[0m'
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def __init__(self, fmt):
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super().__init__()
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self.fmt = fmt
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self.FORMATS = {
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logging.DEBUG: self.grey + self.fmt + self.reset,
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logging.INFO: self.blue + self.fmt + self.reset,
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logging.WARNING: self.yellow + self.fmt + self.reset,
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logging.ERROR: self.red + self.fmt + self.reset,
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logging.CRITICAL: self.bold_red + self.fmt + self.reset
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}
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def format(self, record):
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log_fmt = self.FORMATS.get(record.levelno)
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formatter = logging.Formatter(log_fmt)
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return formatter.format(record)
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class image_classifier:
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def __init__(self, debug_level, log_file, faces_folder, directory):
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''' Initial function called when object is created '''
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self.debug_level = debug_level
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if log_file is None:
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log_file = os.path.join(os.environ.get('HOME', os.environ.get('USERPROFILE', os.getcwd())), 'log', 'image_classifier.log')
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self.log_file = log_file
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self._init_log()
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self.faces_folder = faces_folder
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self.directory = directory
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self.known_people = self.load_known_people()
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if os.access(directory, os.R_OK):
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with os.scandir(directory) as directory_item:
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for entry in directory_item:
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if not entry.name.startswith('.') and entry.is_file():
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self.process_file(entry.name)
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def process_file(self, file):
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''' Process a file, find faces, add EXIF information and
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move it to the folder of the day'''
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people = self.find_faces(file)
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with open(file, 'rb') as image_file:
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exif_info = exif.Image(image_file)
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if exif_info.has_exif:
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print(json.dumps(exif_info, indent=2))
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# get date
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# move to destination
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def load_known_people(self):
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known_people = list()
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if os.access(self.faces_folder, os.R_OK):
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with os.scandir(self.faces_folder) as faces_items:
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for entry in faces_items:
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if not entry.name.startswith('.') and entry.is_file():
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person = dict()
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person['filename'] = face_recognition.load_image_file(entry.name)
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person['name'] = os.path.splitext(entry.name)[0]
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person['encoding'] = face_recognition.face_encodings(person['filename'])[0]
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known_people.append(person)
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return known_people
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def find_faces(self, file):
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''' Find faces in an image/video file '''
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image = face_recognition.load_image_file(file)
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encodings = face_recognition.face_encodings(image)
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names = list()
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for known_person in self.known_people:
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if known_person['encoding'] in encodings:
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names.append(known_person['name'])
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return names
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def _init_log(self):
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''' Initialize log object '''
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self._log = logging.getLogger("image_classifier")
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self._log.setLevel(logging.DEBUG)
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sysloghandler = SysLogHandler()
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sysloghandler.setLevel(logging.DEBUG)
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self._log.addHandler(sysloghandler)
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streamhandler = logging.StreamHandler(sys.stdout)
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streamhandler.setLevel(logging.getLevelName(self.debug_level))
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#formatter = '%(asctime)s | %(levelname)8s | %(message)s'
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formatter = '[%(levelname)s] %(message)s'
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streamhandler.setFormatter(CustomFormatter(formatter))
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self._log.addHandler(streamhandler)
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if not os.path.exists(os.path.dirname(self.log_file)):
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os.mkdir(os.path.dirname(self.log_file))
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filehandler = logging.handlers.RotatingFileHandler(self.log_file, maxBytes=102400000)
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# create formatter
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formatter = logging.Formatter('%(asctime)s %(name)-12s %(levelname)-8s %(message)s')
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filehandler.setFormatter(formatter)
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filehandler.setLevel(logging.DEBUG)
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self._log.addHandler(filehandler)
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return True
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@click.command()
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@click.option("--debug-level", "-d", default="INFO",
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type=click.Choice(
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["CRITICAL", "ERROR", "WARNING", "INFO", "DEBUG", "NOTSET"],
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case_sensitive=False,
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), help='Set the debug level for the standard output.')
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@click.option('--log-file', '-l', help="File to store all debug messages.")
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@click.option("--faces-directory","-f", required=True, help="Folder containing the pictures that identify people. The filename would be used as the name for the person. Just one person per picture.")
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@click.option("--directory","-d", required=True, help="Folder containing the pictures to classify.")
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@click_config_file.configuration_option()
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def __main__(debug_level, log_file, faces_folder, directory):
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object = image_classifier(debug_level, log_file, faces_folder, directory)
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if __name__ == "__main__":
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__main__()
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3
pyproject.toml
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3
pyproject.toml
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[build-system]
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requires = ["setuptools", "wheel"]
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build-backend = "setuptools.build_meta"
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4
requirements.txt
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4
requirements.txt
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click
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click_config_file
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face_recognition
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exif
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setup.py
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setup.py
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import setuptools
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import os
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requirements = list()
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requirements_file = 'requirements.txt'
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if os.access(requirements_file, os.R_OK):
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with open(requirements_file, 'r') as requirements_file_pointer:
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requirements = requirements_file_pointer.read().split()
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setuptools.setup(
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scripts=['image_classifier/image_classifier.py'],
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author="Antonio J. Delgado",
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version='0.0.1',
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name='image_classifier',
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author_email="",
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url="",
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description="",
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license="GPLv3",
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install_requires=requirements,
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#keywords=["my", "script", "does", "things"]
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)
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