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pfzpyac3f 2 years ago
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# -*- coding: utf-8 -*-
from __future__ import print_function
import click
import os
import re
import face_recognition.api as face_recognition
import multiprocessing
import sys
import itertools
def print_result(filename, location):
top, right, bottom, left = location
print("{},{},{},{},{}".format(filename, top, right, bottom, left))
def test_image(image_to_check, model, upsample):
unknown_image = face_recognition.load_image_file(image_to_check)
face_locations = face_recognition.face_locations(unknown_image, number_of_times_to_upsample=upsample, model=model)
for face_location in face_locations:
print_result(image_to_check, face_location)
def image_files_in_folder(folder):
return [os.path.join(folder, f) for f in os.listdir(folder) if re.match(r'.*\.(jpg|jpeg|png)', f, flags=re.I)]
def process_images_in_process_pool(images_to_check, number_of_cpus, model, upsample):
if number_of_cpus == -1:
processes = None
else:
processes = number_of_cpus
# macOS will crash due to a bug in libdispatch if you don't use 'forkserver'
context = multiprocessing
if "forkserver" in multiprocessing.get_all_start_methods():
context = multiprocessing.get_context("forkserver")
pool = context.Pool(processes=processes)
function_parameters = zip(
images_to_check,
itertools.repeat(model),
itertools.repeat(upsample),
)
pool.starmap(test_image, function_parameters)
@click.command()
@click.argument('image_to_check')
@click.option('--cpus', default=1, help='number of CPU cores to use in parallel. -1 means "use all in system"')
@click.option('--model', default="hog", help='Which face detection model to use. Options are "hog" or "cnn".')
@click.option('--upsample', default=0, help='How many times to upsample the image looking for faces. Higher numbers find smaller faces.')
def main(image_to_check, cpus, model, upsample):
# Multi-core processing only supported on Python 3.4 or greater
if (sys.version_info < (3, 4)) and cpus != 1:
click.echo("WARNING: Multi-processing support requires Python 3.4 or greater. Falling back to single-threaded processing!")
cpus = 1
if os.path.isdir(image_to_check):
if cpus == 1:
[test_image(image_file, model, upsample) for image_file in image_files_in_folder(image_to_check)]
else:
process_images_in_process_pool(image_files_in_folder(image_to_check), cpus, model, upsample)
else:
test_image(image_to_check, model, upsample)
if __name__ == "__main__":
main()
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