imgProcessing.FindPossiblePlates(img, False, True)
if len(img.arrayOfPlates) == 0:
log("No plates found in frame " + str(img._id) +
", after applying dilate filter.Trying GaussianBlur...")
print("No plates found in frame " + str(img._id) +
", after applying dilate filter.Trying GaussianBlur...")
img.image = imgProcessing.GaussianBlur(img.image)
imgProcessing.FindPossiblePlates(img, False, True)
if len(img.arrayOfPlates) == 0:
log("No plates found without more light in frame " + str(img._id) +
", applying bright filter...")
print("No plates found without more light in frame " +
str(img._id) + ", applying bright filter...")
img.image = imgProcessing.MoreLight(img.originalImage)
img.image = imgProcessing.Billateral(img.image)
img.image = imgProcessing.Canny(img.image)
imgProcessing.FindPossiblePlates(img, True, False)
if len(img.arrayOfPlates) == 0:
log("No plates found in frame " + str(img._id) +
" after MoreLight filter. Applying dilate filter...")
print("No plates found in frame " + str(img._id) +
" after MoreLight filter. Applying dilate filter...")
img.image = imgProcessing.Dilate(img.image)
cv.imwrite("../processed/dilate/" + str(img._id) + " .png",
img.image)
imgProcessing.FindPossiblePlates(img, True, True)
if len(img.arrayOfPlates) == 0:
log("No plates found in frame " + str(img._id) +
from frame import Frame
from imageProcessing import ImageProcessing
import cv2 as cv
import numpy as np
imgPlaca = cv.imread("C:/Users/oluis/Desktop/images/original/torta.png",
cv.IMREAD_GRAYSCALE)
plateCopy = imgPlaca.copy()
imgProcessing = ImageProcessing()
plateCopy = imgProcessing.MoreLight(plateCopy)
plateCopy = imgProcessing.Billateral(plateCopy)
plateCopy = imgProcessing.Canny(plateCopy)
findContournsImg, contoursPlate, hierarchy = cv.findContours(
plateCopy.copy(), cv.RETR_TREE, cv.CHAIN_APPROX_SIMPLE)
backtorgbplate = cv.cvtColor(plateCopy, cv.COLOR_GRAY2RGB)
for contour in contoursPlate:
x, y, w, h = cv.boundingRect(contour)
proportion = float(w) / h
if proportion > 0.57 and proportion < 0.84 and h > 11:
cv.rectangle(backtorgbplate, (x, y), (x + w, y + h), (0, 0, 255), 1)
cv.imshow('placa', backtorgbplate)
cv.waitKey(0)
