This repository contains TensorFlow tutorials in the field of deep learning network (CNN). Dynamic Camera Caliber System
Camera calibration is an important task in computer vision applications. In a video surveillance system with a single static camera, object tracking results of moving objects can be effectively used for camera calibration. We propose a system that can be used for maintainig self tracking of any object. It is done using images of positive and negative images that are captured using a camera and compared to reference images of static objects. According to CNN, model will intelligently distinguish each sequence of images time to time in each convulutional layers. We have implemented this to show how its model works and its accuracy.
HQ Cam
4 GB+ RAM
Python 3.4+
OpenCV 3.2.0
TensorFlow
Install required dependecies as above.
Follow the guidelines of TensorFlow tutorials (If you are new)
Run programs of TF tutorials to understand its work.
Once the script is running on the Window/Linux, check your results for different objects.
To run the script,
Clone this file or download.
Run TF-Code .py