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Real-Time-Object-Detection-API-using-TensorFlow

A Transfer Learning based Object Detection API that detects all objects in an image, video or live webcam. An SSD model and a Faster R-CNN model was pretrained on Mobile net coco dataset along with a label map in Tensorflow. This model were used to detect objects captured in an image, video or real time webcam. Open CV was used for streaming objects and preprocessing.

How to download and setup Real-Time-Object-Detection-API-using-TensorFlow

Open terminal and run command
git clone https://github.com/kaushikjadhav01/Real-Time-Object-Detection-API-using-TensorFlow.git
git clone is used to create a copy or clone of Real-Time-Object-Detection-API-using-TensorFlow repositories. You pass git clone a repository URL.
it supports a few different network protocols and corresponding URL formats.

Also you may download zip file with Real-Time-Object-Detection-API-using-TensorFlow https://github.com/kaushikjadhav01/Real-Time-Object-Detection-API-using-TensorFlow/archive/master.zip

Or simply clone Real-Time-Object-Detection-API-using-TensorFlow with SSH
[email protected]:kaushikjadhav01/Real-Time-Object-Detection-API-using-TensorFlow.git

If you have some problems with Real-Time-Object-Detection-API-using-TensorFlow

You may open issue on Real-Time-Object-Detection-API-using-TensorFlow support forum (system) here: https://github.com/kaushikjadhav01/Real-Time-Object-Detection-API-using-TensorFlow/issues

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