Python 如何使用opencv加载tensorflow模型

进口cv2 导入tensorflow作为tf #我想 #下载什么型号。 模型名称=‘情感’ MODEL\u FILE=MODEL\u NAME+'freezed\u expression\u graph.pb' 下载_BASE=''

cv2.error:OpenCV（4.1.1）/io/OpenCV/modules/dnn/src/caffe/caffe_io.cpp:1121:error:（-2：未指定的错误）失败：fs.is_open（）。无法在函数“ReadProtoFromTextFile”中打开“graph.pbtxt”

# Path to frozen detection graph. This is the actual model that is used for the object detection.
# PATH_TO_CKPT = MODEL_NAME + '/frozen_inference_graph.pb'
PATH_TO_CKPT = 'age/frozen_inference_graph.pb'


# List of the strings that is used to add correct label for each box.
PATH_TO_LABELS1 = os.path.join('data', 'gender.pbtxt')
PATH_TO_LABELS2 = os.path.join('data', 'age.pbtxt')

NUM_CLASSES1 = 2
NUM_CLASSES2 = 7


# ## Download Model

# if not os.path.exists(MODEL_NAME + '/frozen_inference_graph.pb'):
if not os.path.exists('screwdriver_graph/frozen_inference_graph.pb'):
    print('Downloading the model')
    opener = urllib.request.URLopener()
    opener.retrieve(DOWNLOAD_BASE + MODEL_FILE, MODEL_FILE)
    tar_file = tarfile.open(MODEL_FILE)
    for file in tar_file.getmembers():
        file_name = os.path.basename(file.name)
        if 'frozen_inference_graph.pb' in file_name:
            tar_file.extract(file, os.getcwd())
    print('Download complete')