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)
浏览 42
已采纳
在用opencv时遇到这个问题，请问该怎么解决？
- 点赞
- 写回答
- 关注问题
- 收藏
- 分享
- 邀请回答
微信扫一扫5条回答 默认 最新
- Bryce__LY 2021-01-26 13:48已采纳
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")
点赞 打赏 评论分享 - 无厘头编程 2021-01-26 13:48
bufferProto： prototxt 这个文件没找着。就是 你 的 D:/opencv-face-recognition/face_detection_model/deploy.prototxt
点赞 打赏 评论分享 - 无厘头编程 2021-01-26 13:52
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）
点赞 打赏 评论分享 - 无厘头编程 2021-01-27 02:28
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)点赞 打赏 评论分享 - 无厘头编程 2021-01-27 02:48
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)点赞 打赏 评论分享