Explore python Libraries - Numpy, Scipy, Matplotlib

Numpy
Gives functions for working with multidimensional arrays.
Numpy arrays have
1)Rank
2)Shape (given by dim of vector)
Numpy arrays can be created like:
a=np.array([1,2,3],[2,3,4]) #with initialize
a=np.zeros(2,2) / np.ones(2,2) / np.random.random(4,4)

Comments

List of Computer Vision APIs

Computer Vision APIs Different computer vision tools and APIs are : Google CV Watson VR Amazon R Microsoft CV Clarif.ai Cloudsight Scale https://www.scaleapi.com/image-annotation Imagga vize.ai https://vize.ai/ http://www.recognize.im/ Moodstocks ( http://www.moodstocks.com/pricing/ ) * Kooaba ( http://www.kooaba.com/en/plans_a... ) * IQ Engines ( https://www.iqengines.com/pricing/ ) * LTU technologies ( http://www.ltutech.com/ ) Camfind - Image recognition back-end for the popular app CamFind. Take advantage of the leading image recognition platform through an easy to use web API. Recognize API | Mashape - Vufind Recognize is a real-time image recognition API for classification and monetization of photos and videos. Recognize uses object recognition to uncover meaning and metadata of photos and videos for contextual image commerce and advertising. Kooaba - Our cloud-based image recognition solutions mak...

TensorFlow for Beginners

TensorFlow - Image Recognition for New Data Set Tensorflow is an open source machine learning tool provided by Google. It provides various machine learning solutions. Most prominent use for Tensorflow is Computer vision. Here is a small post, about how you can do tensorflow training on your new image data set using python. First Install tensorflow in your system using following command (using python pip) sudo apt-get install python-pip python-dev #used for python 2.7 Then download the TensorFlow Inception model folder from https://github.com/tensorflow/models/tree/master/inception Save your new Image data under a folder named Images.. Inside the folder group each class of images into each separate folder(with corresponding names) Then change flowers_data.py in inception model according to your new data set Places to change: def num_classes(self): """Returns the number of classes in the data set.""" re...

TechVision

Search This Blog