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README.md

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@@ -31,12 +31,13 @@ This sample project has more than just counting vehicles, here are the additiona
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- TensorFlow 2.x version support will be developed.
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- More powerful detection models will be shared.
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- Sample codes will be developed to process different types of input videos (for different types of road traffics such as two way lane road).
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- Code cleanup will be performed.
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- UI will be developed.
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The input video can be accessible by this [link](https://github.com/ahmetozlu/vehicle_counting_tensorflow/blob/master/sub-1504614469486.mp4).
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The input video can be accessible by this [link](https://github.com/ahmetozlu/vehicle_counting_tensorflow/blob/master/input_video.mp4).
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## Theory
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**3.) TensorFlow**
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Install TensorFlow by invoking one of the following commands:
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Install TensorFlow (version 1.5.0 is required) by invoking one of the following commands:
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$ pip3 install tensorflow # Python 3.n; CPU support (no GPU support)
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$ pip3 install tensorflow-gpu # Python 3.n; GPU support
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$ pip3 install tensorflow==1.5.0 # Python 3.n; CPU support (no GPU support)
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$ pip3 install tensorflow-gpu==1.5.0 # Python 3.n; GPU support
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**4.) TensorFlow Object Detection API**
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**How to run the program?**
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After completing these 4 installation steps that are given at above, you can test the project by one of these commands:
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After completing these 4 installation steps that are given at above, you can test the project by one of these commands. Program takes an input argument 'imshow' or 'imwrite':
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python3 vehicle_detection_main.py imshow
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python3 vehicle_detection_main.py imwrite
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## License
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This system is available under the MIT license. See the LICENSE file for more info.
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