In [1]:

    

! pip install tensorflow


    

    




Requirement already satisfied: tensorflow in c:\users\kogentix\anaconda3\lib\site-packages (1.6.0)
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Requirement already satisfied: grpcio>=1.8.6 in c:\users\kogentix\anaconda3\lib\site-packages (from tensorflow) (1.10.0)
Requirement already satisfied: numpy>=1.13.3 in c:\users\kogentix\anaconda3\lib\site-packages (from tensorflow) (1.15.0)
Requirement already satisfied: six>=1.10.0 in c:\users\kogentix\anaconda3\lib\site-packages (from tensorflow) (1.11.0)
Requirement already satisfied: astor>=0.6.0 in c:\users\kogentix\anaconda3\lib\site-packages (from tensorflow) (0.6.2)
Requirement already satisfied: absl-py>=0.1.6 in c:\users\kogentix\anaconda3\lib\site-packages (from tensorflow) (0.1.11)
Requirement already satisfied: termcolor>=1.1.0 in c:\users\kogentix\anaconda3\lib\site-packages (from tensorflow) (1.1.0)
Requirement already satisfied: protobuf>=3.4.0 in c:\users\kogentix\anaconda3\lib\site-packages (from tensorflow) (3.5.2)
Requirement already satisfied: gast>=0.2.0 in c:\users\kogentix\anaconda3\lib\site-packages (from tensorflow) (0.2.0)
Requirement already satisfied: wheel>=0.26 in c:\users\kogentix\anaconda3\lib\site-packages (from tensorflow) (0.30.0)
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Requirement already satisfied: werkzeug>=0.11.10 in c:\users\kogentix\anaconda3\lib\site-packages (from tensorboard<1.7.0,>=1.6.0->tensorflow) (0.14.1)
Requirement already satisfied: setuptools in c:\users\kogentix\anaconda3\lib\site-packages (from protobuf>=3.4.0->tensorflow) (38.5.2)

In [2]:

    

! pip install --upgrade pip


    

    




Requirement already up-to-date: pip in c:\users\kogentix\anaconda3\lib\site-packages (18.0)

In [3]:

    

! pip install numpy -I


    

    




Collecting numpy
  Using cached https://files.pythonhosted.org/packages/53/d1/2499797c88de95ea3239ad7f6e6a47895fe51aad1aa2a116f50ec9e0ee74/numpy-1.15.0-cp36-none-win_amd64.whl
Installing collected packages: numpy
Successfully installed numpy-1.15.0






    




kmodes 0.7 has requirement numpy==1.12.1, but you'll have numpy 1.15.0 which is incompatible.
kmodes 0.7 has requirement scikit-learn==0.18.1, but you'll have scikit-learn 0.19.1 which is incompatible.
kmodes 0.7 has requirement scipy==0.19.0, but you'll have scipy 1.0.0 which is incompatible.

In [4]:

    

import numpy.core.multiarray


    

In [5]:

    

!pip install spacy


    

    




Requirement already satisfied: spacy in c:\users\kogentix\anaconda3\lib\site-packages (2.0.11)
Requirement already satisfied: numpy>=1.7 in c:\users\kogentix\anaconda3\lib\site-packages (from spacy) (1.15.0)
Requirement already satisfied: murmurhash<0.29,>=0.28 in c:\users\kogentix\anaconda3\lib\site-packages (from spacy) (0.28.0)
Requirement already satisfied: cymem<1.32,>=1.30 in c:\users\kogentix\anaconda3\lib\site-packages (from spacy) (1.31.2)
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Requirement already satisfied: cytoolz<0.9,>=0.8 in c:\users\kogentix\anaconda3\lib\site-packages (from thinc<6.11.0,>=6.10.1->spacy) (0.8.2)
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Requirement already satisfied: termcolor in c:\users\kogentix\anaconda3\lib\site-packages (from thinc<6.11.0,>=6.10.1->spacy) (1.1.0)
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In [7]:

    

! pip install scipy


    

    




Requirement already satisfied: scipy in c:\users\kogentix\anaconda3\lib\site-packages (1.0.0)

In [8]:

    

! pip install opencv-python


    

    




Requirement already satisfied: opencv-python in c:\users\kogentix\anaconda3\lib\site-packages (3.4.2.17)
Requirement already satisfied: numpy>=1.11.3 in c:\users\kogentix\anaconda3\lib\site-packages (from opencv-python) (1.15.0)

In [9]:

    

! pip install pillow


    

    




Requirement already satisfied: pillow in c:\users\kogentix\anaconda3\lib\site-packages (5.0.0)

In [10]:

    

! pip install matplotlib


    

    




Requirement already satisfied: matplotlib in c:\users\kogentix\anaconda3\lib\site-packages (2.2.2)
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In [11]:

    

! pip install h5py


    

    




Requirement already satisfied: h5py in c:\users\kogentix\anaconda3\lib\site-packages (2.7.1)
Requirement already satisfied: numpy>=1.7 in c:\users\kogentix\anaconda3\lib\site-packages (from h5py) (1.15.0)
Requirement already satisfied: six in c:\users\kogentix\anaconda3\lib\site-packages (from h5py) (1.11.0)

In [12]:

    

! pip install keras


    

    




Requirement already satisfied: keras in c:\users\kogentix\anaconda3\lib\site-packages (2.1.5)
Requirement already satisfied: pyyaml in c:\users\kogentix\anaconda3\lib\site-packages (from keras) (3.12)
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Requirement already satisfied: numpy>=1.9.1 in c:\users\kogentix\anaconda3\lib\site-packages (from keras) (1.15.0)

In [13]:

    

! pip3 install https://github.com/OlafenwaMoses/ImageAI/releases/download/2.0.2/imageai-2.0.2-py3-none-any.whl


    

    




Requirement already satisfied: imageai==2.0.2 from https://github.com/OlafenwaMoses/ImageAI/releases/download/2.0.2/imageai-2.0.2-py3-none-any.whl in c:\users\kogentix\anaconda3\lib\site-packages (2.0.2)

In [14]:

    

import os as os


    

In [15]:

    

os.getcwd()


    

    
Out[15]:





'C:\\Users\\KOGENTIX'

In [16]:

    

os.chdir('C:\\Users\\KOGENTIX\\Desktop\\image')


    

In [17]:

    

os.getcwd()


    

    
Out[17]:





'C:\\Users\\KOGENTIX\\Desktop\\image'

In [23]:

    

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 = detector.detectObjectsFromImage(input_image=os.path.join(execution_path , "image.jpeg"), output_image_path=os.path.join(execution_path , "imagenew.jpeg"))

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


    

    




person  :  56.95698857307434
person  :  52.80917286872864
person  :  70.20386457443237
person  :  76.8346905708313
person  :  78.70020866394043
bicycle  :  79.7773540019989
person  :  83.55741500854492
person  :  89.43805694580078
truck  :  60.933083295822144
person  :  69.52632069587708
bus  :  98.00646901130676
truck  :  83.69445204734802
car  :  71.7008650302887

In [ ]: