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Help solve that problem please I use ImageAI to detect cars , but it didn't works , i'm newbee in this , sorry

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() detections, objects_path = detector.detectObjectsFromImage(input_image=os.path.join(execution_path , "image3.jpg"), output_image_path=os.path.join(execution_path , "image3new.jpg"), minimum_percentage_probability=30, extract_detected_objects=True) for eachObject, eachObjectPath in zip(detections, objects_path): print(eachObject["name"] , " : " , eachObject["percentage_probability"], " : ", eachObject["box_points"] ) print("Object's image saved in " + eachObjectPath) print("--------------------------------") 

Using TensorFlow backend.

Traceback (most recent call last): File "/home/maxim/PycharmProjects/ImageAI/venv/image.py", line 7, in <module> detector = ObjectDetection() File "/home/maxim/.virtualenvs/ImageAI/lib/python3.5/site-packages/imageai/Detection/__init__.py", line 88, in __init__ self.sess = K.get_session() File "/home/maxim/.virtualenvs/ImageAI/lib/python3.5/site-packages/keras/backend/tensorflow_backend.py", line 174, in get_session default_session = tf.get_default_session() AttributeError: module 'tensorflow' has no attribute 'get_default_session' Process finished with exit code 1 
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  • Please organize your question better.its not clear at all the structure of your code and the error Commented Jul 10, 2019 at 0:06
  • Organized . sorry i'm first day on that platform. :c Commented Jul 10, 2019 at 0:10
  • Are you using tensorflow 2.0? Commented Jul 10, 2019 at 8:41
  • Yeah , i'm install 2.0 because on 1.14 was a lot of errors , and i find recommendation to install 2.0 Commented Jul 10, 2019 at 8:46

1 Answer 1

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https://github.com/OlafenwaMoses/ImageAI/issues/563

You're right it (ImageAI) works with Collecting keras==2.1.6, checked on colob, Thanks

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1 Comment

You can test it: (keras==2.1.6, tensorflow==1.15.3) github.com/maxkleiner/maXbox4/blob/master/objectdetector3.ipynb

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