opennx二次开发筛选半径小于5的面利用python实现

要筛选半径小于5的面，可以使用OpenCV库进行二次开发。下面是一个使用Python实现的示例代码：

import cv2
import numpy as np

def filter_faces(image):
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    _, thresh = cv2.threshold(gray, 127, 255, cv2.THRESH_BINARY)
    contours, _ = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

    filtered_contours = []
    for contour in contours:
        area = cv2.contourArea(contour)
        if area < 5:
            filtered_contours.append(contour)

    filtered_image = np.zeros_like(image)
    cv2.drawContours(filtered_image, filtered_contours, -1, (255, 255, 255), thickness=cv2.FILLED)

    return filtered_image

# 读取输入图像
image = cv2.imread('input_image.jpg')

# 筛选面
filtered_image = filter_faces(image)

# 显示结果
cv2.imshow('Filtered Image', filtered_image)
cv2.waitKey(0)
cv2.destroyAllWindows()

请将代码中的input_image.jpg替换为实际的输入图像路径。运行代码后，将显示筛选后的结果。