def analyze(s, d, vlogger):
finder = PlateDetector(vlogger)
while True:
f = s.get()
if f is None: return
img = cv2.imread(f)
if img is None:
logging.error('%s no se pudo abrir',f)
txt,r = finder.find2(img)
fn = ntpath.basename(f)
orig = fn[:6].upper()
logging.debug("%s: %s"%(fn[:6].upper(),txt))
d.put((txt, r, txt==orig))
def analyze(src, dst):
detector = PlateDetector()
while True:
ts, id, img, bbox = src.get()
if img is None: return
try:
code, bbox_code = detector.first(img)
if code is not None:
bbox_code = list(bbox_code)
bbox_code[0] += bbox[0]
bbox_code[1] += bbox[1]
dst.put((id, ts, img, code, bbox_code))
except Exception as e:
logging.debug('error analyzing frame')
logging.error(e, exc_info=True)
from timeit import default_timer as timer
import sys
import cv2
import os
from platedetector import PlateDetector
import logging
import time
import numpy as np
if __name__ == "__main__":
logging.basicConfig(level=logging.DEBUG)
s = timer()
finder = PlateDetector()
if len(sys.argv)!=2:
uri = "videotestsrc ! capsfilter caps='video/x-raw,format=BGR' ! videoconvert ! appsink"
p = os.path.dirname(os.path.abspath(__file__))
else:
uri = sys.argv[1]
tmpdir = os.path.splitext(os.path.abspath(uri))[0]
if not os.path.exists(tmpdir):
print 'creando directorio '+tmpdir
os.makedirs(tmpdir)
else:
print 'directorio ya existe '+tmpdir
c = cv2.VideoCapture(uri)
cv2.namedWindow('e2',cv2.WINDOW_NORMAL)
paused = False
fc = 0
while True:
from timeit import default_timer as timer
import sys
import cv2
import os
from platedetector import PlateDetector
import logging
import time
if __name__ == "__main__":
logging.basicConfig(level=logging.DEBUG)
s = timer()
finder = PlateDetector()
if len(sys.argv)!=2:
uri = "videotestsrc ! capsfilter caps='video/x-raw,format=BGR' ! videoconvert ! appsink"
p = os.path.dirname(os.path.abspath(__file__))
else:
uri = sys.argv[1]
tmpdir = os.path.splitext(os.path.abspath(uri))[0]
if not os.path.exists(tmpdir):
print 'creando directorio '+tmpdir
os.makedirs(tmpdir)
else:
print 'directorio ya existe '+tmpdir
c = cv2.VideoCapture(uri)
cv2.namedWindow('e2',cv2.WINDOW_NORMAL)
paused = False
fc = 0
while True:
fc = fc + 1
import constant
# from darknetdetector import Detector
from videoextractor import VideoExtractor
from platedetector import PlateDetector
# video_extractor = VideoExtractor()
# video_extractor.extract_to(video_extractor.get_random_stream_url(), "./out/", 0.5, 10, True)
plate_detector = PlateDetector()
plate_detector.load_and_detect_img("./data/plate/test/001.JPG")
# detector = Detector(Constant.DARK_NET_CFG_PATH + "yolo.cfg", "yolo.weights",
# Constant.DARK_NET_CFG_PATH + "coco.data")
# detector.detect_all_image_in_folder(Constant.IMAGE_DETECT_INPUT_PATH,
# Constant.IMAGE_DETECT_OUTPUT_PATH)