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Object Detection using TensorFlow graph and it is done using opencv-python library in python 3.1.0

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Object Detection Using Tensorflow Graph

Object Detection using TensorFlow graph and it is done using opencv-python library in python 3.1.0

  • please download the pretrained model .pb extension file from the link here https://github.com/opencv/opencv/wiki/TensorFlow-Object-Detection-API
  • please download Download the weights and config file for one of the object detection models that have been pre-trained. Inception-SSD v2 will be used. You'll want to save it by right-clicking and selecting Save As.
  • To open the tar.gz archive file, use a tool like 7-Zip (i.e. click Open archive if using 7-Zip). Double click on ssd_inception_v2_coco_2017_11_17.tar.
  • Locate a file inside the folder named frozen_inference_graph.pb and also the pbtxt file and move this file to your working directory.

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Object Detection using TensorFlow graph and it is done using opencv-python library in python 3.1.0

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