我有一台 mac，我使用的是 tensorflow 2.0、python 3.7。我正在关注为实时应用程序创建对象检测模型的教程。但我收到以下错误：
“下载/模型/研究/object_detection/object_detection_tutorial.py”，第 43 行，在 od_graph_def = tf od_graph_def = tf.GraphDef()
AttributeError: 模块“tensorflow”没有属性“GraphDef”
下面是教程链接：
我检查了环境，我已经在 anaconda 中有 tensorflow 环境
import tensorflow as tf
import zipfile
from collections import defaultdict
from io import StringIO
from matplotlib import pyplot as plt
from PIL import Image
sys.path.append("..")
from object_detection.utils import ops as utils_ops
from utils import label_map_util
from utils import visualization_utils as vis_util
MODEL_NAME = 'ssd_mobilenet_v1_coco_2017_11_17'
MODEL_FILE = MODEL_NAME + '.tar.gz'
DOWNLOAD_BASE = 'http://download.tensorflow.org/models/object_detection/'
PATH_TO_CKPT = MODEL_NAME + '/frozen_inference_graph.pb'
PATH_TO_LABELS …我正在关注本教程系列：https://www.youtube.com/watch? v=A4K6D_gx2Iw&list=PLQVvvaa0QuDfhTox0AjmQ6tvTgMBZBEXN&index=6
当我尝试通过预测在程序外部使用模型时，出现以下错误：错误：OpenCV(4.1.0) /Users/travis/build/skvark/opencv-python/opencv/modules/imgproc/src/resize。 cpp：3718：错误：（-215：断言失败）！函数“调整大小”中的 ssize.empty()
加载模型时的代码如下：
import cv2
import tensorflow as tf
CATEGORIES = ["Dog", "Cat"]
import cv2
import tensorflow as tf
CATEGORIES = ["Dog", "Cat"]
def prepare(filepath):
IMG_SIZE = 50
img_array = cv2.imread(filepath, cv2.IMREAD_GRAYSCALE)
#return img_array.reshape(-1, IMG_SIZE, IMG_SIZE, 1)
new_array = cv2.resize(img_array, (IMG_SIZE, IMG_SIZE))
return new_array.reshape(-1, IMG_SIZE, IMG_SIZE, 1)
#
model = tf.keras.models.load_model('iyad')
#
predication = model.predict([prepare("Dog.jpg")])
print(predication)