GANs consist of three terms Generative Adversarial Network. Let's understand these three terms first. Generative : A Generative Model takes input training sample from some distribution and learns to represents that distribution. Adversarial : It basically means Conflicting or Opposing. Networks : These are basically neural networks. So,Generative Adversarial Networks are deep neural network architecture comprising of two neural networks compete with each other to make a generative model. A GAN consist of two class models : Discriminative Model :- It is the one that discriminate between two different classes of data.It tries to identify real data from fakes created by the generator Generative Model :- The Generator turns noise into an imitation of the data to try to trick the discriminator Mathematically, A Generative Model 'G' to be trained on training data 'X' sampled from some true distribution 'D' is the one which, given some standard random distrib
Computer vision is an interdisciplinary scientific field which deals with how digital images or videos can obtain high-level understanding from computers. It attempts to understand and automate activities that the human visual system can do from the point of view of engineering.Computer vision is also used in convenience stores, Driverless car training, everyday medical diagnostics, and in tracking the health of crops and animals, as an AI system that helps machines to interpret and mark images. We have seen from our study that machines are talented in identifying pictures.
5 Must Know Computer Vision Tools are:
YOLO
YOLO (You Only Look Once) is an open source object detection approach, which has a number of benefits compared to the other approaches. YOLO nicely learns the context and can learn 'generalized' representation so well that could be used on images with different objects. YOLO is extremely fast.
Scikit-Image
It is an open source image processing library for the python programmers. It is intended to interoperate with the NumPy and SciPy numerical and science libraries in Python, by representing image object as native Numpy arrays.SciKit-image is a set of image processing algorithms. It is open free of charge and unlimited.
Paper :-https://peerj.com/articles/453/
Pillow
Python Imaging Library is an open source library for the python for image processing. It's able to identify, read and saves files in various formats, and is compatible with other modules such as scikit-image.
Documentation:- https://pillow.readthedocs.io/en/stable/
PyTorch
It is an open source machine learning Library (based on Torch), developed by Facebook's AI Research Lab. It is used for computer vision and Natural language processing. It is free and open-source software released under the Modified BSD license.PyTorch is an optimized tensor library for deep learning using GPUs and CPUs.
Documentation:- https://pytorch.org/docs/stable/index.html
OpenCV
OpenCV is a library of programming functions specifically targeted at computer vision in real-time. Originally developed by Intel, Willow Garage, then Itseez, later sponsored it. The library is free for use under the open source Apache 2 License and is cross-platform. It mainly focuses on image processing, video capture and analysis including features like face detection and object detection.
Documentation:- https://docs.opencv.org/
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