To run the model:

1)Clone https://github.com/tensorflow/models.git

2)Install dependencies using https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/installation.md

3)In models/research/object_detection/

i)Create a folder named output_video

ii)Copy and paste the test_video folder from the gun_detection_tensorflow repository

iii)Copy and paste the gun_detection.ipynb from the gun_detection_tensorflow repository

iv)copy the paste the ssd_mobilenet_v1_pets.config file from the gun_detection_tensorflow repository

v)copy and paste gun_graphxxxxx directories from the gun_detection_tensorflow repository/(gun_graph17230 ,gun_graph16454etc)

4)In models/research/object_detection/training

i)Copy and paste ssd_mobilenet_v1_pets.config file from the gun_detection_tensorflow repository

5)Running the model

In models/research/object_detection/ run jupyter notebook in terminal

1. then in jupyter notebook open gun_detection.ipynb

2. Run

3. Press Q to exit to close the running video.

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** to change between models,use step 3)v and remember to change accordingly in gun_detection.ipynb file

** to change the test video copy the new video to test_video as in 3)ii and also change the video name v1.mp4 accordingly in gun_detection.ipynb

** what one requires to run the model are config file,frozen graphs(the saved models in gun_graphxxxxx folders) and the test video.