python - 如何修复使用 TensorFlow 2.0 时“'RuntimeError: ` get_session”不可用的问题。

Question

我是 python 新手，我一直在尝试运行这段代码。但我不断收到此错误。

from imageai.Detection import ObjectDetection
import os

execution_path = os.getcwd()

detector = ObjectDetection()
detector.setModelTypeAsRetinaNet()
detector.setModelPath( os.path.join(execution_path , "resnet50_coco_best_v2.0.1.h5"))
detector.loadModel()
self.sess = tf.compat.v1.keras.backend.get_session()
detections = detector.detectObjectsFromImage(input_image=os.path.join(execution_path , "image.jpg"), output_image_path=os.path.join(execution_path , "imagenew.jpg"))

for eachObject in detections:
    print(eachObject["name"] , " : " , eachObject["percentage_probability"] )

我应该获取图像中对象的百分比，但我得到的是:

Using TensorFlow backend. Traceback (most recent call last): File "detector.py", line 6, in detector = ObjectDetection() File "C:\Python36\lib\site-packages\imageai\Detection__init__.py", line 88, in init self.sess = K.get_session() File "C:\Python36\lib\site-packages\keras\backend\tensorflow_backend.py", line 379, in get_session 'get_session is not available ' RuntimeError: get_session is not available when using TensorFlow 2.0.

Answer 1

答案: 在 TF 2.0 中，您应该使用 tf.compat.v1.Session() 而不是 tf.Session() 使用以下代码消除 Tensorflow2.0 中的错误:

import tensorflow as tf

tf.compat.v1.Session()

即在上面的代码中，将此代码行 self.sess = tf.compat.v1.keras.backend.get_session() 替换为

self.sess = tf.compat.v1.Session()

引用:

1. https://github.com/tensorflow/tensorflow/issues/26844#issuecomment-474038678