在用opencv时遇到这个问题，请问该怎么解决？

detector = cv2.dnn.readNetFromCaffe(protoPath="D:/opencv-face-recognition/face_detection_model/deploy.prototxt", modelPath="D:/opencv-face-recognition/face_detection_model/res10_300x300_ssd_iter_140000.caffemodel")
TypeError: readNetFromCaffe() missing required argument 'bufferProto' (pos 1)

你试试这个 cv2.dnn.readNetFromCaffe("D:/opencv-face-recognition/face_detection_model/deploy.prototxt", "D:/opencv-face-recognition/face_detection_model/res10_300x300_ssd_iter_140000.caffemodel")

bufferProto： prototxt 这个文件没找着。就是 你 的 D:/opencv-face-recognition/face_detection_model/deploy.prototxt

Python 文件：

readNetFromCaffe(bufferProto[, bufferModel]) -> retval
.   @brief Reads a network model stored in Caffe model in memory.
.   * @param bufferProto buffer containing the content of the .prototxt file
.   * @param bufferModel buffer containing the content of the .caffemodel file
.   * @returns Net object.

因此，查文件在哪里，路径和文件名称合理吗？（名字对吗？有没有奇怪的字母）

文件检查加成：

import os
import cv2

# *.prototxt ：模型构成
proto = 'D:/opencv-face-recognition/face_detection_model/deploy.prototxt'

# *.caffemodel：比重，画层
model = 'D:/opencv-face-recognition/face_detection_model/res10_300x300_ssd_iter_140000.caffemodel'

exist = os.path.exists(proto)
print('deploy.prototxt， 有吗? ', exist)
exist = os.path.exists(model)
print('res10_300x300_ssd_iter_140000.caffemodel， 有吗？ ', exist)

# load model
print("[INFO] 启动 model...")
net = cv2.dnn.readNetFromCaffe(proto, model)
print(net)

这个更好，直接掐断：

def file_check(filename):
    exist = os.path.exists(filename)
    if not exist:
        raise FileNotFoundError(
            errno.ENOENT, os.strerror(errno.ENOENT), filename)


iris_file = 'D:/tensorflow/iris_training.csq'
file_check(iris_file)
print('file found: ', iris_file)