Rehber Yapay zeka ile plaka tanıma sistem #PY

import os
import cv2
import matplotlib.pyplot as plt
import numpy as np
def plaka_konum_don(img):
    img_bgr = img
    img_gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

    # islem resmi ir_img

    ir_img = cv2.medianBlur(img_gray, 5)  # 5x5
    ir_img = cv2.medianBlur(ir_img, 5)  # 5x5

    medyan = np.median(ir_img)

    low = 0.67 * medyan
    high = 1.33 * medyan

    # Jonh f Canny
    kenarlik = cv2.Canny(ir_img, low, high)

    # np.ones((3,3),np.uint8) -->
    kenarlik = cv2.dilate(kenarlik, np.ones((3, 3), np.uint8), iterations=1)

    # cv2.RETR_TREE -> hiyeralsık
    # CHAIN_APPROX_SIMPLE -> kosegenleri aldık, tum pıkseller yerine
    cnt = cv2.findContours(kenarlik, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
    cnt = cnt[0]
    cnt = sorted(cnt, key=cv2.contourArea, reverse=True)

    H, W = 500, 500
    plaka = None

    for c in cnt:
        rect = cv2.minAreaRect(c)  # dikdortgen yapıda al (1)
        (x, y), (w, h), r = rect
        if (w > h and w > h * 2) or (h > w and h > w * 2):  # oran en az 2 (2)
            box = cv2.boxPoints(rect)  # [[12,13],[25,13],[20,13],[13,45]]
            box = np.int64(box)

            minx = np.min(box[:, 0])
            miny = np.min(box[:, 1])
            maxx = np.max(box[:, 0])
            maxy = np.max(box[:, 1])

            muh_plaka = img_gray[miny:maxy, minx:maxx].copy()
            muh_medyan = np.median(muh_plaka)

            kon1 = muh_medyan > 84 and muh_medyan < 200  # yogunluk kontrolu (3)
            kon2 = h < 50 and w < 150  # sınır kontrolu (4)
            kon3 = w < 50 and h < 150  # sınır kontrolu (4)

            print(f"muh_plaka medyan:{muh_medyan} genislik: {w} yukseklik:{h}")

            kon = False
            if (kon1 and (kon2 or kon3)):
                # plaka'dır

                # cv2.drawContours(img,[box],0,(0,255,0),2)
                plaka = [int(i) for i in [minx, miny, w, h]]  # x,y,w,h
                kon = True
            else:
                # plaka değidir
                # cv2.drawContours(img,[box],0,(0,0,255),2)
                pass
            if (kon):
                return plaka
    return []

import os
import cv2
import matplotlib.pyplot as plt
import numpy as np
from alg1_plaka_tespit import plaka_konum_don

veriler = os.listdir("veriseti")

isim = veriler[3]

img = cv2.imread("veriseti/" + isim)
img = cv2.resize(img, (500, 500))

plaka = plaka_konum_don(img)
x, y, w, h = plaka

if (w > h):
    plaka_bgr = img[y:y + h, x:x + w].copy()
else:
    plaka_bgr = img[y:y + w, x:x + h].copy()

plt.imshow(plaka_bgr)
plt.show()

H, W = plaka_bgr.shape[:2]
print("orjinal boyut:", W, H)
H, W = H * 2, W * 2
print("yeni boyut:", W, H)

plaka_bgr = cv2.resize(plaka_bgr, (W, H))

plt.imshow(plaka_bgr)
plt.show()

# plaka_resim : islem resmimmiz
plaka_resim = cv2.cvtColor(plaka_bgr, cv2.COLOR_BGR2GRAY)

plt.title("gri format")
plt.imshow(plaka_resim, cmap="gray")
plt.show()

th_img = cv2.adaptiveThreshold(plaka_resim, 255, cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY_INV, 11, 2)

plt.title("eşiklenmiş")
plt.imshow(th_img, cmap="gray")
plt.show()

kernel = np.ones((3, 3), np.uint8)
th_img = cv2.morphologyEx(th_img, cv2.MORPH_OPEN, kernel, iterations=1)

plt.title("Gürültü yok edilmiş")
plt.imshow(th_img, cmap="gray")
plt.show()

cnt = cv2.findContours(th_img, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
cnt = cnt[0]
cnt = sorted(cnt, key=cv2.contourArea, reverse=True)[:15]

for i, c in enumerate(cnt):
    rect = cv2.minAreaRect(c)
    (x, y), (w, h), r = rect

    kon1 = max([w, h]) < W / 4
    kon2 = w * h > 200

    if (kon1 and kon2):
        print("karakter ->", x, y, w, h)

        box = cv2.boxPoints(rect)
        box = np.int64(box)
        # (15,20)

        minx = np.min(box[:, 0])
        miny = np.min(box[:, 1])
        maxx = np.max(box[:, 0])
        maxy = np.max(box[:, 1])

        odak = 2

        minx = max(0, minx - odak)
        miny = max(0, miny - odak)
        maxx = min(W, maxx + odak)
        maxy = min(H, maxy + odak)

        kesim = plaka_bgr[miny:maxy, minx:maxx].copy()

        try:
            cv2.imwrite(f"karakterseti/{isim}_{i}.jpg", kesim)
        except:
            pass

        yaz = plaka_bgr.copy()
        cv2.drawContours(yaz, [box], 0, (0, 255, 0), 1)

        plt.imshow(yaz)
        plt.show()

import os
import matplotlib.pyplot as plt
import cv2
from alg1_plaka_tespit import plaka_konum_don


#1. alg veri icleme
"""
veri = os.listdir("veriseti")
for image_url in veri:
    img= cv2.imread("veriseti/"+image_url)    # veriseti/1.jpg bgr degeri gönderiri
    img = cv2.cvtColor(img,cv2.COLOR_BGR2RGB)
    img = cv2.resize(img ,(500, 500))
    plt.imshow(img)
    plt.show()
    """

veri = os.listdir("veriseti")
for image_url in veri:
    img= cv2.imread("veriseti/"+image_url)    # veriseti/1.jpg bgr degeri gönderiri

    img = cv2.resize(img ,(500, 500))

    plaka = plaka_konum_don(img)
    x,y,w,h = plaka
    if(w>h):
        plaka_bgr = img[y:y+h, x:x+w].copy()
    else:
        plaka_bgr = img[y:y + w, x:x + h].copy()

    img = cv2.cvtColor(plaka_bgr, cv2.COLOR_BGR2RGB)

    plt.imshow(img)
    plt.show()