Keras之Mask R-CNN:《极限挑战》第四季第2期助力高考—使用Mask R-CNN代替Photoshop抠图、颜色填充框出目标检测

Keras之Mask R-CNN:《极限挑战》第四季第2期助力高考—使用Mask R-CNN代替Photoshop抠图、颜色填充框出目标检测

导读
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输出结果

设计思路

核心代码

# -*- coding: utf-8 -*-

import os
import sys
import argparse
import numpy as np
import coco
import utils
import model as modellib
import imageio
import visualize

def create_noisy_color(image, color):
    color_mask = np.full(shape=(image.shape[0], image.shape[1], 3),
                         fill_value=color)

    noise = np.random.normal(0, 25, (image.shape[0], image.shape[1]))
    noise = np.repeat(np.expand_dims(noise, axis=2), repeats=3, axis=2)
    mask_noise = np.clip(color_mask + noise, 0., 255.)
    return mask_noise

def string_to_rgb_triplet(triplet):

    if '#' in triplet:
        # http://stackoverflow.com/a/4296727
        triplet = triplet.lstrip('#')
        _NUMERALS = '0123456789abcdefABCDEF'
        _HEXDEC = {v: int(v, 16)
                   for v in (x + y for x in _NUMERALS for y in _NUMERALS)}
        return (_HEXDEC[triplet[0:2]], _HEXDEC[triplet[2:4]],
                _HEXDEC[triplet[4:6]])

    else:
        # https://stackoverflow.com/a/9763133
        triplet = make_tuple(triplet)
        return triplet

……

if __name__ == '__main__':
    parser = argparse.ArgumentParser(
        description='Person Blocker - Automatically "block" people '
                    'in images using a neural network.')
    parser.add_argument('-i', '--image',  help='Image file name.',
                        required=False)
    parser.add_argument(
        '-m', '--model',  help='path to COCO model', default=None)
    parser.add_argument('-o',
                        '--objects', nargs='+',
                        help='object(s)/object ID(s) to block. ' +
                        'Use the -names flag to print a list of ' +
                        'valid objects',
                        default='person')
    parser.add_argument('-c',
                        '--color', nargs='?', default='(255, 255, 255)',
                        help='color of the "block"')
    parser.add_argument('-l',
                        '--labeled', dest='labeled',
                        action='store_true',
                        help='generate labeled image instead')
    parser.add_argument('-n',
                        '--names', dest='names',
                        action='store_true',
                        help='prints class names and exits.')
    parser.set_defaults(labeled=False, names=False)
    args = parser.parse_args()

    if args.names:
        print(get_class_names())
        sys.exit()

    person_blocker(args)

全部代码和设计思路解释每周六将公布！！！

参考文章
Mask R-CNN

最新更新说明！！！
全部代码请移步到GitHub地址：https://github.com/matterport/Mask_RCNN