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Python For Vision and Detection OpenCv Python - aretr - 08-14-2019

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Python For Vision and Detection : OpenCv Python
.MP4 | Video: 1280x720, 30 fps® | Audio: AAC, 44100 Hz, 2ch | 4.5 GB
Duration: 11.5 hours | Genre: eLearning | Language: English

Learn Vision Includes all OpenCV Image Processing Features with Simple Examples. Face Detection, Face Recognition.
What you'll learn
Use OpenCV to work with image files
Perform image manipulation with OpenCV, including smoothing, blurring, thresholding, and morphological operations.
Create Face Detection Software
Detect Objects, including corner, edge, and grid detection techniques with OpenCV and Python
Use Python and Deep Learning to build image classifiers
Use Python and OpenCV to draw shapes on images and videos
Create Color Histograms with OpenCV
Study from MIT notes and get Interview questions
Crack image processing limits by developing Applications.
Requirements
Must have clear understanding of Python Basics
WebCam if you want to learn the video streaming content
Windows or MacOS or Ubuntu
Have an openminded attitude towards learning
Description
Welcome to the ultimate online course on Python for Computer Vision!
Computer Vision is an AI based, that is, Artificial Intelligence based technology that allows computers to understand and label images. Its now used in Convenience stores, Driver-less Car Testing, Security Access Mechanisms, Policing and Investigations Surveillance, Daily Medical Diagnosis monitoring health of crops and live stock and so on and so forth..
A common example will be face detection and unlocking mechanism that you use in your mobile phone. We use that daily. That is also a big application of Computer Vision. And top technology companies like Amazon, Google, Microsoft, Facebook etc are investing millions and millions of Dollars into Computer Vision based research and product development.
Computer vision allows us to analyze and leverage image and video data, with applications in a variety of industries, including self-driving cars, social network apps, medical diagnostics, and many more.
As the fastest growing language in popularity, Python is well suited to leverage the power of existing computer vision libraries to learn from all this image and video data.
In this course we'll teach you everything you need to know to become an expert in computer vision! This $20 billion dollar industry will be one of the most important job markets in the years to come.
What Material you will get in this course?
you will get MIT press notes , some study materials ,real life working projects and many more.
Who this course is for:
Python Developers interested in Computer Vision and Deep Learning. This course is not for complete python beginners.
Beginners who are interested in Computer Vision based technology. Developers who wish to use Computer Vision in their applications
Hobbyists who wish to learn about Object Tracking and Face detection


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Code:
http://nitroflare.com/view/368BCF1FE291801/8thv6.Python.For.Vision.and.Detection.OpenCv.Python.part1.rar
http://nitroflare.com/view/9423FF866572B1C/8thv6.Python.For.Vision.and.Detection.OpenCv.Python.part2.rar
http://nitroflare.com/view/69806C0567A9F4A/8thv6.Python.For.Vision.and.Detection.OpenCv.Python.part3.rar
http://nitroflare.com/view/480E63D857ACD0C/8thv6.Python.For.Vision.and.Detection.OpenCv.Python.part4.rar
http://nitroflare.com/view/A9D700CCAFCB967/8thv6.Python.For.Vision.and.Detection.OpenCv.Python.part5.rar

Code:
https://rapidgator.net/file/724581b50b8b3fe8b6280e0748ef4ef8/8thv6.Python.For.Vision.and.Detection.OpenCv.Python.part1.rar
https://rapidgator.net/file/1824806399046940cc4d8462569963b5/8thv6.Python.For.Vision.and.Detection.OpenCv.Python.part2.rar
https://rapidgator.net/file/2b2f01b3a9733839a9b72b395bb7517c/8thv6.Python.For.Vision.and.Detection.OpenCv.Python.part3.rar
https://rapidgator.net/file/c2e2624d6feefe37362418fa4d8fc201/8thv6.Python.For.Vision.and.Detection.OpenCv.Python.part4.rar
https://rapidgator.net/file/62ebe5fbfcd64eb25d9ec5dc8359f17e/8thv6.Python.For.Vision.and.Detection.OpenCv.Python.part5.rar