python+openCVで物体検出をしたい

前提・実現したいこと

　あるブログで紹介されていたサンプルコードを用いて、物体検出を行いたい
ブログのコードをコピーし実行したら、エラーが出た。

https://techtech-sorae.com/pythonopencv%e3%82%92%e4%bd%bf%e3%81%a3%e3%81%a6%e7%89%a9%e4%bd%93%e6%a4%9c%e5%87%ba%e3%81%a7%e3%82%b3%e3%82%a4%e3%83%b3%e5%b0%8f%e9%8a%ad%ef%bc%89%e3%82%92%e6%a4%9c%e5%87%ba%e3%81%97%e3%81%a6/

発生している問題・エラーメッセージ

 File "C:〇〇〇〇", line 34
    if (aspect_ratio & lt; ASPECT_THRESH):
                         ^
SyntaxError: invalid syntax

Process finished with exit code 1

該当のソースコード

import cv2
import math

if __name__ == "__main__":
    # input image
    img = cv2.imread("coins.jpg")

    # convert gray scale image
    gray_img = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)

    # gaussian
    gray_img = cv2.GaussianBlur(gray_img, (7, 7), 0)
    # ret, bw_img = cv2.threshold(gray_img, 190, 255, cv2.THRESH_BINARY_INV)
    ret, bw_img = cv2.threshold(gray_img, 0, 255, cv2.THRESH_OTSU)

    # invert black white (when use cv2.THRESH_OTSU)
    # bw_img = cv2.bitwise_not(bw_img)

    cv2.imwrite("black_white.jpg", bw_img)

    imgEdge, contours, hierarchy = cv2.findContours(bw_img, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

    ROUNDNESS_THRESH = 0.5
    ASPECT_THRESH = 0.90
    COIN_AREA = 100000.0
    COIN_AREA_RATIO_THRESH = 0.5
    coin_list = []
    for contour in contours:
        # get circumscribed quadrangle
        x, y, width, height = cv2.boundingRect(contour)

        # check aspect ratio
        aspect_ratio = float(width) / float(height)
        if (aspect_ratio & lt; ASPECT_THRESH):
            continue

        # check area
        area = cv2.contourArea(contour)
        area_ratio = abs(float(1 - (area / COIN_AREA)))
        if (area != 0 and area_ratio & gt; COIN_AREA_RATIO_THRESH):
            continue

        # detect long axis
        longAx = width
        if (width & lt; height):
            longAx = height
        # calculate roundness value
        roundness = (4 * area) / (math.pi * (longAx ** 2))  # it seems like a circle closer to 1.0

        if (roundness & gt; ROUNDNESS_THRESH):
            coin_list.append(roundness)
            topleft = x
            cv2.rectangle(img, (x, y), (x + width, y + height), (0, 0, 200), 2)

    print("number of coins detected : ", len(coin_list))
    print("coin average roundness : ", sum(coin_list) / len(coin_list))
    cv2.imwrite("coin_result.jpg", img)