Issue with Tensorflow models format on MacOS










0















I'm trying imageai's example found in https://towardsdatascience.com/object-detection-with-10-lines-of-code-d6cb4d86f606:



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_v2.0.3.h5"))
detector.loadModel()
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"] )


However, I'm getting this error:



TypeError: Expected int32, got list containing Tensors of type '_Message' instead.


What is it caused by? Is imageai incompatible with the latest tensorflow version, as suggested here : Tensorflow Slim: TypeError: Expected int32, got list containing Tensors of type '_Message' instead?



If so, what could I do to make it work with this imageai example?



EDIT: I checked, and this works on Windows with Python 3.6










share|improve this question




























    0















    I'm trying imageai's example found in https://towardsdatascience.com/object-detection-with-10-lines-of-code-d6cb4d86f606:



    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_v2.0.3.h5"))
    detector.loadModel()
    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"] )


    However, I'm getting this error:



    TypeError: Expected int32, got list containing Tensors of type '_Message' instead.


    What is it caused by? Is imageai incompatible with the latest tensorflow version, as suggested here : Tensorflow Slim: TypeError: Expected int32, got list containing Tensors of type '_Message' instead?



    If so, what could I do to make it work with this imageai example?



    EDIT: I checked, and this works on Windows with Python 3.6










    share|improve this question


























      0












      0








      0








      I'm trying imageai's example found in https://towardsdatascience.com/object-detection-with-10-lines-of-code-d6cb4d86f606:



      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_v2.0.3.h5"))
      detector.loadModel()
      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"] )


      However, I'm getting this error:



      TypeError: Expected int32, got list containing Tensors of type '_Message' instead.


      What is it caused by? Is imageai incompatible with the latest tensorflow version, as suggested here : Tensorflow Slim: TypeError: Expected int32, got list containing Tensors of type '_Message' instead?



      If so, what could I do to make it work with this imageai example?



      EDIT: I checked, and this works on Windows with Python 3.6










      share|improve this question
















      I'm trying imageai's example found in https://towardsdatascience.com/object-detection-with-10-lines-of-code-d6cb4d86f606:



      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_v2.0.3.h5"))
      detector.loadModel()
      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"] )


      However, I'm getting this error:



      TypeError: Expected int32, got list containing Tensors of type '_Message' instead.


      What is it caused by? Is imageai incompatible with the latest tensorflow version, as suggested here : Tensorflow Slim: TypeError: Expected int32, got list containing Tensors of type '_Message' instead?



      If so, what could I do to make it work with this imageai example?



      EDIT: I checked, and this works on Windows with Python 3.6







      macos tensorflow python-3.6






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Nov 14 '18 at 13:28







      Rodolphe

















      asked Nov 13 '18 at 20:19









      RodolpheRodolphe

      1,91532150




      1,91532150






















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