Accessing individual frame from the video file

Python
1

I have been trying to work on individual frame to extract text from individual frame. But it shows an error of
TypeError: Can’t convert object to ‘str’ for ‘filename’
Here is my code to extract the individual frame

text_data = []
while True:
    ret, frame=cap.read()
    mask = object_detector.apply(frame)
    _, mask  = cv2.threshold(mask,254,255,cv2.THRESH_BINARY)        #mask the backgroubd to the color ratio of 255 for complete black color
    contours,_ = cv2.findContours(mask, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
    res = cv2.bitwise_and(frame,frame,mask=mask)
    for cnt in contours:
        area = cv2.contourArea(cnt)
        if area>1000:    #detect for the flashes above 1000pixel
            cv2.drawContours(frame, [cnt], -1, (0,255,0),2)
            text_date.append(getdate(frame)

I am using following function to extract the text

def getdate(frames):
    img = cv2.imread(frames)
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    ret, thresh1 = cv2.threshold(gray, 0, 255, cv2.THRESH_OTSU | cv2.THRESH_BINARY_INV)
    rect_kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (18, 18))
    dilation = cv2.dilate(thresh1, rect_kernel, iterations = 1)
    contours, hierarchy = cv2.findContours(dilation, cv2.RETR_EXTERNAL,
                                                    cv2.CHAIN_APPROX_NONE)
    im2 = img.copy()  
    for cnt in contours:
        x, y, w, h = cv2.boundingRect(cnt)
        
        # Drawing a rectangle on copied image
        rect = cv2.rectangle(im2, (x, y), (x + w, y + h), (0, 255, 0), 2)
        
        # Cropping the text block for giving input to OCR
        cropped = im2[y:y + h, x:x + w]
        text = pytesseract.image_to_string(cropped)
     return text
2

What is “it”? Not your whole code. It is a function call. Find out which one.

Probably imread(), becase it needs a filename as argument. Now, think of the purpose of that call there, why you put it there…

3

frame is already an image.

this is clearly the result of blindly copypasting 2 code snippets, that dont belong together