Published 4/2020
Created by Evergreen Technologies
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 12 Lectures ( 1h 51m ) | Size: 1.32 GB
Learn to build real time object detection in video and images using YOLO algorithm
What you'll learn
Understanding fundamentals of YOLO
Understanding fundamentals of deep learning
Benefits of YOLO for self driving car use case
Build a real life object detection in video using YOLO, OpenCV and Python
Requirements
No
Description
Course DescriptionLearn to build real time object detection engine using YOLO deep learning algorithm. Deep learning is popular where a machine can be trained to detect objects in video and images. Once trained, it can be used to detect objects in any video or image.Yolo (You only look Once) algorithm has become popular because of its real time nature. It can detect objects at 45 frames per second or within 20 ms. This makes it attractive to use it in self driving car where detecting objects in real time is key to avoid collisions. Unlike its predecessor, YOLO looks at image only once.Build a strong foundation in image search engines with this tutorial for beginners.Understanding fundamentals of YOLOUnderstanding fundamentals of deep learning Benefits of YOLO for self driving car use caseBuild a real life object detection in video using YOLO, OpenCV and PythonA Powerful Skill at Your Fingertips Learning the fundamentals of real time object detection puts a powerful and very useful tool at your fingertips. Python, YOLO and opencv are free, easy to learn, has excellent documentation.No prior knowledge of CNN or deep learning is assumed. I'll be covering topics like CNN from scratch. Jobs in object detection area are plentiful, and being able to learn real time object detection will give you a strong edge. YOLO is state of art technology that can quickly help you achieve your goal. Learning object detection with YOLO will help you become a computer vision developer which is in high demand.Content and Overview This course teaches you on how to build real time object detection engine using open source YOLO, OPNCV and Python . You will work along with me step by step to build following answersReal time object detection in VideoReal time object detection in imageFundamentals of CNN and YOLOWhat am I going to get from this course?Learn YOLO and build real time object detection engine from professional trainer from your own desk.Over 10 lectures teaching you how to build real time object detection engineSuitable for beginner programmers and ideal for users who learn faster when shown.Visual training method, offering users increased retention and accelerated learning.Breaks even the most complex applications down into simplistic steps.Offers challenges to students to enable reinforcement of concepts. Also solutions are described to validate the challenges.
Who this course is for
Beginner Python developers who are curious about data science
Homepage
Code:
https://www.udemy.com/course/learn-to-build-real-time-object-detection-in-video/Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live
Code:
Download From 1DL
https://1dl.net/7b5r0hhixkmt/roepf.Learn.to.build.real.time.object.detection.in.video.part1.rar.html
https://1dl.net/ae0zqgvtdo9o/roepf.Learn.to.build.real.time.object.detection.in.video.part2.rar.html
Rapidgator
https://rapidgator.net/file/3ab2b5d290dc0c2b46d514218e084fc8/roepf.Learn.to.build.real.time.object.detection.in.video.part1.rar.html
https://rapidgator.net/file/fb00e07edf43512ed3ea090cc092c359/roepf.Learn.to.build.real.time.object.detection.in.video.part2.rar.html
Uploadgig
https://uploadgig.com/file/download/79d012c777e1138C/roepf.Learn.to.build.real.time.object.detection.in.video.part2.rar
https://uploadgig.com/file/download/9829f986be47C11e/roepf.Learn.to.build.real.time.object.detection.in.video.part1.rar
NitroFlare
https://nitroflare.com/view/013D773BE188C05/roepf.Learn.to.build.real.time.object.detection.in.video.part1.rar
https://nitroflare.com/view/4D36A9E05BC09A2/roepf.Learn.to.build.real.time.object.detection.in.video.part2.rar
