Text Detect Module

+import cv2
+import numpy as np
+import time
+fname = "./croppedimg/"
+def bboxes(inp):
+    #Frame을 인자로 전달받음
+    img = inp
+    start = time.time()
+    index = 0
+    # img2gray = cv2.imread(fname,0)
+    # img = cv2.namedWindow(img,cv2.WINDOW_NORMAL)
+    # img = cv2.resizeWindow(img,600,600)
+    img_final = inp
+    # img_final = cv2.namedWindow(fname,cv2.WINDOW_NORMAL)
+    # img_final = cv2.resizeWindow(fname,600,600)
+    img2gray = cv2.cvtColor(inp, cv2.COLOR_BGR2GRAY) #GRAY Image 8bit per pixel
+    ret, mask = cv2.threshold(img2gray, 180, 255, cv2.THRESH_BINARY) #threshold : distinguish background, object
+    image_final = cv2.bitwise_and(img2gray, img2gray, mask=mask) #bitwise
+    ret, new_img = cv2.threshold(img_final, 180, 255, cv2.THRESH_BINARY)  # Nfor black text , cv.THRESH_BINARY_IV
+    newimg = cv2.cvtColor(new_img, cv2.COLOR_BGR2GRAY) #Gray Image converting
+
+    # remove noise from image
+    kernel = cv2.getStructuringElement(cv2.MORPH_CROSS, (5,1))
+    # to manipulate the orientation of dilution , large x means horizonatally dilating  more, large y means vertically dilating more
+    dilated = cv2.dilate(newimg, kernel, iterations=3)  # dilate
+    _, contours, _ = cv2.findContours(dilated, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)  # get contours
+    #cv2.CHAIN_APPROX_NONE: 모든 컨투어 포인트를 반환
+    for contour in contours:
+        # get rectangle bounding contour
+        [x, y, w, h] = cv2.boundingRect(contour)
+
+        # remove small false positives that aren't text
+        # text인식하기. width, height
+        if w < 80 and h < 80:
+            continue
+        if h / w > 9.0 or w / h > 9.0:
+            continue
+
+        # draw rectangle around contour on original image
+        cv2.rectangle(img, (x, y), (x + w, y + h), (0, 0, 255), 3)
+        # 이미지 주변 시작좌표를 기준으로 사각형틀그리기
+        cropped = img_final[y :y +  h , x : x + w]
+        s = fname +"Text"+ str(index) + '.jpg'
+        cv2.imwrite(s, cropped)
+        if(index % 10 == 0 ):
+            cv2.imwrite(s, cropped)
+            print("[Processing time ]:", time.time() - start)
+            if(index>20):
+                index=0
+        index = index + 1
+
+    # write original image with added contours to disk
+    imgres = cv2.resize(img, (320, 240))
+    cv2.imshow('captcha_result', imgres)
+
+
+cap = cv2.VideoCapture(0) #동영상 파일 읽어옴
+while (cap.isOpened()):
+    ret, inp = cap.read() #프레임을 읽어옴, 읽어온 프레임을 인자로 bboxes 전달
+    if(ret): #success boolean
+        bboxes(inp)
+    if cv2.waitKey(1) & 0xFF == ord('q'):
+        print("Terminate Process..")
+        break
+cap.release() #파일 닫아줌
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