def __init__(self,
logfile=None,
threshold=None,
frame_skip=None,
downscale_factor=None,
save_images=None,
isShow=False):
"""初始化
Keyword Arguments:
threshold {int} -- 阈值 (default: {30})
frame_skip {int} -- 跳帧 (default: {0})
downscale_factor {int} -- 压缩率 (default: {50})
save_images {bool} -- 是否存储采样图片 (default: {True})
"""
BasicPart.__init__(self, logfile=logfile, isShow=isShow)
# 若有自定义参数，则进行覆盖
if threshold != None:
self.threshold = threshold
if frame_skip != None:
self.frame_skip = frame_skip
if downscale_factor != None:
self.downscale_factor = downscale_factor
if save_images != None:
self.save_images = save_images
self.content_detector = detectors.ContentDetector(
threshold=self.threshold)
def __init__(self, videoinfo, logfile=None, isShow=False, savepic=False):
"""初始化
Arguments:
videoinfo {视频信息} -- {'name','datetime','descrption'}
Keyword Arguments:
logfile {string} -- 可选，log文件名 (default: {None})
isShow {bool} -- 是否显示处理过程 (default: {False})
"""
BasicPart.__init__(self, logfile, isShow)
self.videoinfo = videoinfo
self.__mkdirs()
self.dbhandler = DBHandler()
self.item_list = []
# 人物识别
self.pf = PersonFace(True)
fi = FeatureIndex(True)
fi.load_person_index(["Person"])
self.pf.setFeatureIndex(fi)
self.savepic = savepic
# solr
self.solrhandler = MainSolr(logfile, isShow)
self.save_video()
pass
def __init__(self, logfile=None, isShow=False):
"""初始化
"""
BasicPart.__init__(self, logfile=logfile, isShow=isShow)
self.num_pixels = -1
# 记录hsv历史数据,保留:{id, relate_id, hsv}
self.hsv_history = []
# 记录缩减的scene数目
self.reduce_count = 0
# 总item数
self.sum_count = 0
# 向前追溯最远距离
self.maxdistance = 8
def __init__(self,
max_len=1000, logfile=None, isShow=False):
BasicPart.__init__(self, logfile, isShow)
self.imagename = ''
self.facerecog = FaceRecog(logfile=logfile, isShow=isShow)
self.objectdetect = ObjectDet(logfile, single_pic_process=True,isShow=isShow, picShow=False)
self.dbhandler = DBHandler()
self.searchfeature = FeatureIndex(logfile=logfile, isShow=isShow)
self.personface = PersonFace(logfile=logfile, isShow=isShow)
self.solrobj = MainSolr(logfile=logfile, isShow=isShow)
self.max_len = max_len
# 默认阈值
self.setThreshold(800, 1000)
def __init__(self,
logfile=None,
single_pic_process=False,
isShow=False,
picShow=False):
'''
useconfig：读取配置文件
logfile: 日志文件路径
isShow: 显示图片处理过程
single_pic_process: 处理单张图片
'''
BasicPart.__init__(self, logfile=logfile, isShow=isShow)
self.picShow = picShow
self.__read_config()
if single_pic_process:
self.__kerasinit()
def __init__(self,
logfile=None,
isShowIndex=False,
isShow=False):
BasicPart.__init__(self, logfile, isShow)
self.isfaceLoad = False
self.iscontLoad = False
self.ispersLoad = False
self.isShowIndex = isShowIndex
# 索引对象列表
self.face_index_list = []
self.face_id_list_list = []
self.cont_index_list = []
self.cont_id_list_list = []
self.person_index_list = []
self.person_id_list_list = []
pass
def __init__(self,
threshold = None,
logfile = None,
picShow = False,
isShow = False):
'''
threshold: 人脸大小阈值
logfile: 日志文件路径
isShow: 显示图片处理过程
'''
BasicPart.__init__(self, logfile=logfile, isShow=isShow)
self.picShow = picShow
from DBHandler import DBHandler
self.handler = DBHandler()
self.initFR()
# 缓存
self.dbcache = {}
def __init__(self,
threshold = None,
logfile = None,
picShow = False,
isShow = False):
'''
threshold: 人脸大小阈值
logfile: 日志文件路径
isShow: 显示图片处理过程
'''
BasicPart.__init__(self, logfile=logfile, isShow=isShow)
self.picShow = picShow
self.detector = Detector()
self.aligner = Aligner()
self.identifier = Identifier()
# self.thresh = self.config.getint('facerecog','threshold')
if threshold != None:
self.thresh = threshold
self.detector.set_min_face_size(self.thresh)
def __init__(self, logfile=None, isShow=False):
BasicPart.__init__(self, logfile, isShow)
self.handler = DBHandler()