Znajdź zawartość

Free Download YOLO11 - Custom Object Detection & Web Apps in Python 2024 Published 10/2024 Created by Muhammad Moin MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 10 Lectures ( 5h 28m ) | Size: 5.55 GB Learn Custom Object Detection, Tracking and Pose Estimation with YOLO11, and Build Web Apps with Flask and Streamlit What you'll learn Object Detection, Instance Segmentation, Pose Estimation and Image Classification using YOLO11 Training / Fine-Tuning YOLO11 Models on Custom Dataset Multi-Object Tracking with Ultralytics YOLO Develop Streamlit Application for Object Detection with YOLO11. Object Detection in the Browser using YOLO11 and Flask Requirements Mac / Windows / Linux - all operating systems work with this course! Description YOLO11 is the latest state-of-the-art object detection model from Ultralytics, surpassing previous versions in both speed and accuracy. Built upon the advancements of earlier YOLO models, YOLO11 introduces significant improvements in architecture and training, making it a versatile tool for various computer vision tasks.YOLO11 models support a wide range of tasks, including object detection, instance segmentation, image classification, pose estimation, and oriented object detection (OBB).In this course, you will learn:What's New in Ultralytics YOLO11.How to use Ultralytics YOLO11 for Object Detection, Instance Segmentation, Pose Estimation, and Image Classification.Running Object Detection, Instance Segmentation Pose Estimation and Image Classification with YOLO11 on Windows/Linux.Evaluating YOLO11 Model Performance: Testing and AnalysisTraining a YOLO11 Object Detection Model on a Custom Dataset in Google Colab for Personal Protective Equipment (PPE) Detection. Step-by-Step Guide: YOLO11 Object Detection on Custom Datasets on Windows/Linux.Training YOLO11 Instance Segmentation on Custom Datasets for Pothole Detection.Fine-Tuning YOLO11 Pose Estimation for Human Activity Recognition.Fine-Tuning YOLO11 Image Classification for Plant Classification.Multi-Object Tracking with Bot-SORT and ByteTrack Algorithms.License Plate Detection & Recognition using YOLO11 and EasyOCR.Integrating YOLO11 with Flask to Build a Web App.Creating a Streamlit Web App for Object Detection with YOLO11. Who this course is for Anyone who is interested in Computer Vision Anyone who study Computer Vision and want to know how to use YOLO11 for Object Detection, Instance Segmentation, Pose Estimation and Image Classification Anyone who aims to build Deep learning Apps with Computer Vision Homepage https://www.udemy.com/course/yolo11-custom-object-detection-web-apps-in-python-2024/ Screenshot Rapidgator https://rg.to/file/3348e9834520199e318fc6646ee4b69e/pgzwh.YOLO11.Custom.Object.Detection..Web.Apps.in.Python.2024.part6.rar.html https://rg.to/file/5878e6ffbfdf62eadb092d0ff9bba3fc/pgzwh.YOLO11.Custom.Object.Detection..Web.Apps.in.Python.2024.part4.rar.html https://rg.to/file/a1d78d8f677fe96aa0bb0b56f0be25d0/pgzwh.YOLO11.Custom.Object.Detection..Web.Apps.in.Python.2024.part1.rar.html https://rg.to/file/a5050dfb6786f094187ce6ce4f9edf39/pgzwh.YOLO11.Custom.Object.Detection..Web.Apps.in.Python.2024.part2.rar.html https://rg.to/file/d661f23261a71a913c134663fce8e4ee/pgzwh.YOLO11.Custom.Object.Detection..Web.Apps.in.Python.2024.part5.rar.html https://rg.to/file/e312cef65aacba78ca3eb9d9a07c9af4/pgzwh.YOLO11.Custom.Object.Detection..Web.Apps.in.Python.2024.part3.rar.html Fikper Free Download https://fikper.com/H2vX0bkj6C/pgzwh.YOLO11.Custom.Object.Detection..Web.Apps.in.Python.2024.part2.rar.html https://fikper.com/TcAj6lNgFR/pgzwh.YOLO11.Custom.Object.Detection..Web.Apps.in.Python.2024.part3.rar.html https://fikper.com/WOeP4ThHnV/pgzwh.YOLO11.Custom.Object.Detection..Web.Apps.in.Python.2024.part4.rar.html https://fikper.com/jgIhlSSdul/pgzwh.YOLO11.Custom.Object.Detection..Web.Apps.in.Python.2024.part1.rar.html https://fikper.com/uoFCWt9La2/pgzwh.YOLO11.Custom.Object.Detection..Web.Apps.in.Python.2024.part6.rar.html https://fikper.com/xFBQanVE8q/pgzwh.YOLO11.Custom.Object.Detection..Web.Apps.in.Python.2024.part5.rar.html No Password - Links are Interchangeable

Free Download Fire Detection & Alarm System Published 10/2024 Created by Vikas Sinwar MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 16 Lectures ( 2h 43m ) | Size: 2.6 GB An Overview of Fire Detection, Fire Alarm, Fire sprinkler and Fire suppression System What you'll learn What is fire alarm and detection system Different Types of Fire Alarm Systems Different type of detectors and devices used in fire detection/alarm system Design and installation of devices Requirements No prior fire alarm and detection experience needed. This Course will guide those new to the industry or professional for those who need a different explanation of topics Description Hello Students !Welcome to this course on, "The Fire Detection & Alarm System".Goal of this course is to understand the requirement of fire detection system. We will understand different types of fire alarm system and which one to use depending upon site conditions. Detail knowledge about all devices used in fire detection and alarm system. Guidelines to keep in mind while Design and Installation fire detection system. New technologies like wireless fire alarm system is also added. Fire sprinkler and fire suppression system will be also discussed.This course covers the in-depth knowledge of following topics:1. Fire detection system2. Smoke detector3. Het detector4. Beam detector5. Multi detector6. Response Indicator7. Hooter8. Manual call point9. Repeater panel10. Main fire panel11. Fault Isolator12. Conventional fire alarm system13. Addressable fire alarm system14. Different type of wiring15. Design and detector spacing requirement16. Maintenance and testing of fire alarm system17. Wireless fire alarm system18. Fire sprinkler and fire suppression systemBy the end of the course, you will have a comprehensive understanding of fire detection system, different devices used, different type of fire detection system, design, installation and testing of devices, wireless fire alarm system, fire sprinkler and fire suppression system.Enroll in the "Fire Detection & Alarm System "course and advance your career in fire safety. Who this course is for Fresher in fire detection and alarm sector Fire protection engineers Fire safety manager Technician in fire safety industry Anyone who need to design their own home detection Consultant, building design experts Students Homepage https://www.udemy.com/course/fire-detection-alarm-system/ Screenshot Rapidgator https://rg.to/file/23d0ffdaec34c96e8f6224fb6f52d9fa/xyzsw.Fire.Detection..Alarm.System.part3.rar.html https://rg.to/file/57f63424b40900d9a0ca3042193331dc/xyzsw.Fire.Detection..Alarm.System.part2.rar.html https://rg.to/file/882c52c65cdf604e48fa2edbf51795ee/xyzsw.Fire.Detection..Alarm.System.part1.rar.html Fikper Free Download https://fikper.com/85fLk2FugO/xyzsw.Fire.Detection..Alarm.System.part1.rar.html https://fikper.com/LHLk8Gyd5F/xyzsw.Fire.Detection..Alarm.System.part3.rar.html https://fikper.com/bEfsn6mTFM/xyzsw.Fire.Detection..Alarm.System.part2.rar.html No Password - Links are Interchangeable

Free Download Applied Computer Vision Object Detection and Recognition Published 10/2024 Created by Vahid Mirjalili, PhD,Taban Eslami MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 44 Lectures ( 2h 14m ) | Size: 853 MB Object Recognition From Basics to Advanced Techniques What you'll learnUnderstand the fundamentals of image recognition, including image classification, object detection, and image segmentation (semantic, instance, and panoptic)) Master the underlying theories and principles of key computer vision models, enabling a deep understanding of their functionality and applications Master PyTorch fundamentals, learn how to build a CNN model, and your custom image dataset Implement advanced image recognition models and train them in PyTorch RequirementsPython Programming Experience: Familiarity with programming, particularly in Python, as it's the primary language used with PyTorch. Students should be comfortable with basic programming concepts and structures. Understanding of Basic Machine Learning Concepts: A foundational knowledge of machine learning principles, including what models are, how they are trained, and a basic understanding of concepts like classification, regression, overfitting, and underfitting. Introductory Knowledge of Deep Learning: Familiarity with the basic concepts of neural networks, including what they are and how they are generally structured and trained. DescriptionComputer Vision and Object RecognitionThis course provides a comprehensive journey into computer vision and object recognition, guiding you from the foundational concepts to advanced model implementation and evaluation. Through a hands-on approach, you will explore key computer vision tasks such as image classification, object detection, semantic segmentation, and instance segmentation. The course uses popular datasets like COCO-2017 and CamVid, and frameworks such as PyTorch and FiftyOne to enhance your practical skills.Section 1: Introduction We begin with an overview of the course and object recognition, followed by setting up the necessary environment for efficient implementation.Section 2: Recap of Convolutional Neural Networks (CNNs) This section refreshes your knowledge of CNNs and introduces essential tools like FiftyOne for dataset management, along with tutorials to get familiar with PyTorch.Section 3: Image Classification You will learn to build and train a multi-class image classifier using the COCO-2017 dataset, focusing on classes like cats, dogs, and horses. The classifier is built using a pre-trained ResNet model, demonstrating the process of transfer learning and hyperparameter tuning.Section 4: Object Detection We delve into object detection using two popular models, Faster-RCNN and YOLOv8. You'll prepare datasets, train both models, and analyze their performance using FiftyOne, gaining hands-on experience with both region-based and single-shot detection methods.Section 5: Semantic Segmentation In this section, you will work with the CamVid dataset to understand semantic segmentation, which involves assigning a class to every pixel in an image. Using the segmentation_models_pytorchlibrary, you will train and evaluate a segmentation model to recognize objects in scenes.Section 6: Instance Segmentation We cover instance segmentation, where the goal is to differentiate between multiple instances of the same object class. You'll build and train a Mask-RCNN model for this task, working with segmentation annotations from the COCO-2017 dataset.Throughout the course, we place a strong emphasis on hands-on exercises, real-world datasets, and model evaluation to equip you with the skills needed to tackle practical computer vision challenges. By the end, you will be well-prepared to implement and evaluate various computer vision models, with a solid understanding of the nuances involved in different tasks like classification, detection, and segmentation. Who this course is forStudents and Learners in Computer Science: Undergraduate or graduate students who are majoring in computer science, data science, artificial intelligence, or related fields and want to gain practical skills in image recognition using PyTorch. Aspiring Data Scientists and Machine Learning Engineers: Individuals looking to enter the field of data science or machine learning with a specific interest in image processing and recognition techniques. AI and Machine Learning Enthusiasts: Individuals who have a keen interest in artificial intelligence and machine learning and want to deepen their understanding of image recognition. Tech Entrepreneurs: Entrepreneurs or innovators looking to understand image recognition to implement or improve product offerings, particularly in tech-driven markets. Homepage https://www.udemy.com/course/applied-computer-vision/ Rapidgator https://rg.to/file/46055b26242e55dd14d3d3bebc61a186/cqinv.Applied.Computer.Vision.Object.Detection.and.Recognition.rar.html Fikper Free Download https://fikper.com/6THTR8RTbL/cqinv.Applied.Computer.Vision.Object.Detection.and.Recognition.rar.html No Password - Links are Interchangeable

epub | 22.91 MB | English | Isbn:9781837631421 | Author: Dennis Chow, David Bruskin (Foreword by) | Year: 2024 About ebook: Automating Security Detection Engineering: A hands-on guide to implementing Detection as Code https://rapidgator.net/file/fec52b5aed6f6c3211e138d9aa33b9ab/ https://nitroflare.com/view/A4659077855337D/

Lynda - Windows Performance Toolkit: Spyware Detection Size: 726 MB | Duration: 0h 55m | Video: AVC (.mp4) 1280x720 15&30fps | Audio: AAC 48KHz 2ch Genre: eLearning | Level: Intermediate | Language: English Is your PC running slow? The answer might be more nefarious than you think. Is your PC running slow? The answer might be more nefarious than you think. Spyware such as keyloggers can often go undetected by antivirus software. Windows Performance Toolkit offers two powerful tools for identifying and gathering evidence of keyloggers: the Recorder, used to record system events, and the Analyzer, used to inspect those events. Join Thomas Pantels as he explains what a keylogger is and demonstrates how it functions and hides in plain sight. Using Windows Performance Toolkit, he shows how to set up a profiling environment to gather evidence and find the keylogger "hooks. " Once you've traced the keylogger, you can delete the application and get your computer back on track. Download link: http://rapidgator.net/file/028532f058c05762a9ea04b9d3b97916/xgq1f.Lynda..Windows.Performance.Toolkit.Spyware.Detection.rar.html]xgq1f.Lynda..Windows.Performance.Toolkit.Spyware.Detection.rar.html http://nitroflare.com/view/068929EF28BEC2E/xgq1f.Lynda..Windows.Performance.Toolkit.Spyware.Detection.rar]xgq1f.Lynda..Windows.Performance.Toolkit.Spyware.Detection.rar http://uploaded.net/file/rkavsjfq/xgq1f.Lynda..Windows.Performance.Toolkit.Spyware.Detection.rar]xgq1f.Lynda..Windows.Performance.Toolkit.Spyware.Detection.rar https://www.bigfile.to/file/Sgwx6VBPexa3/xgq1f.Lynda..Windows.Performance.Toolkit.Spyware.Detection.rar]xgq1f.Lynda..Windows.Performance.Toolkit.Spyware.Detection.rar Links are Interchangeable - No Password - Single Extraction

Lynda - Windows Performance Toolkit: Spyware Detection Size: 726 MB | Duration: 0h 55m | Video: AVC (.mp4) 1280x720 15&30fps | Audio: AAC 48KHz 2ch Genre: eLearning | Level: Intermediate | Language: English Is your PC running slow? The answer might be more nefarious than you think. Is your PC running slow? The answer might be more nefarious than you think. Spyware such as keyloggers can often go undetected by antivirus software. Windows Performance Toolkit offers two powerful tools for identifying and gathering evidence of keyloggers: the Recorder, used to record system events, and the Analyzer, used to inspect those events. Join Thomas Pantels as he explains what a keylogger is and demonstrates how it functions and hides in plain sight. Using Windows Performance Toolkit, he shows how to set up a profiling environment to gather evidence and find the keylogger "hooks. " Once you've traced the keylogger, you can delete the application and get your computer back on track. DOWNLOAD http://rapidgator.net/file/70e302d9f1ac1a5524f14d8650b79b45/lt8ri.Lynda..Windows.Performance.Toolkit.Spyware.Detection.rar.html https://bytewhale.com/z2q1o5z5p4ef/lt8ri.Lynda..Windows.Performance.Toolkit.Spyware.Detection.rar http://uploaded.net/file/akj7k7tx/lt8ri.Lynda..Windows.Performance.Toolkit.Spyware.Detection.rar https://www.bigfile.to/file/kE4zj3DDqs7X/lt8ri.Lynda..Windows.Performance.Toolkit.Spyware.Detection.rar http://nitroflare.com/view/C8C06AD0D20D6AC/lt8ri.Lynda..Windows.Performance.Toolkit.Spyware.Detection.rar http://uploadgig.com/file/download/991fD12b332bCcc6/lt8ri.Lynda..Windows.Performance.Toolkit.Spyware.Detection.rar

Lynda - Windows Performance Toolkit: Spyware Detection Duration: 0h 55m | Video: AVC (.mp4) 1280x720 15&30fps | Audio: AAC 48KHz 2ch | 726 MB Genre: eLearning | Level: Intermediate | Language: English Is your PC running slow? The answer might be more nefarious than you think. Spyware such as keyloggers can often go undetected by antivirus software. Windows Performance Toolkit offers two powerful tools for identifying and gathering evidence of keyloggers: the Recorder, used to record system events, and the Analyzer, used to inspect those events. Join Thomas Pantels as he explains what a keylogger is and demonstrates how it functions and hides in plain sight. Using Windows Performance Toolkit, he shows how to set up a profiling environment to gather evidence and find the keylogger "hooks. " Once you've traced the keylogger, you can delete the application and get your computer back on track. Download link: http://rapidgator.net/file/cc55fcf617e2d8cc03d3210112ddcbb3/z5ewu.Windows.Performance.Toolkit.Spyware.Detection.part1.rar.html]z5ewu.Windows.Performance.Toolkit.Spyware.Detection.part1.rar.html http://rapidgator.net/file/f2485be233660f8d745d9c961e9136fa/z5ewu.Windows.Performance.Toolkit.Spyware.Detection.part2.rar.html]z5ewu.Windows.Performance.Toolkit.Spyware.Detection.part2.rar.html http://nitroflare.com/view/6382DB8A793EBC9/z5ewu.Windows.Performance.Toolkit.Spyware.Detection.part1.rar]z5ewu.Windows.Performance.Toolkit.Spyware.Detection.part1.rar http://nitroflare.com/view/13EE6FC93EF166D/z5ewu.Windows.Performance.Toolkit.Spyware.Detection.part2.rar]z5ewu.Windows.Performance.Toolkit.Spyware.Detection.part2.rar http://uploaded.net/file/571hszuw/z5ewu.Windows.Performance.Toolkit.Spyware.Detection.part1.rar]z5ewu.Windows.Performance.Toolkit.Spyware.Detection.part1.rar http://uploaded.net/file/i2hith1j/z5ewu.Windows.Performance.Toolkit.Spyware.Detection.part2.rar]z5ewu.Windows.Performance.Toolkit.Spyware.Detection.part2.rar https://www.bigfile.to/file/mJynqDJTTNHR/z5ewu.Windows.Performance.Toolkit.Spyware.Detection.part1.rar]z5ewu.Windows.Performance.Toolkit.Spyware.Detection.part1.rar https://www.bigfile.to/file/Dc7uUqJedpB2/z5ewu.Windows.Performance.Toolkit.Spyware.Detection.part2.rar]z5ewu.Windows.Performance.Toolkit.Spyware.Detection.part2.rar Links are Interchangeable - No Password - Single Extraction

Understanding Intrusion Detection Systems Training Video - Infinite Skills English | Size: 0.99 GB (1,059,256,402 Bytes) Category: CBTs Understanding Intrusion Detection Systems Training Video An outsider might be inside your network and ready to release attack traffic. A disgruntled employee might be inside your system and ready to delete files. You're a systems or network admin and it's your job to prevent these types of malicious events. Where do you begin? A good start is knowing with some certainty that the attackers are even present and a good intrusion detection system will do just that. In this video, security expert Ric Messier explains why intrusion detection systems are necessary, what they do, how they work, where to find them, and how to implement them. * Understand intrusion detection: Its meaning, its value, and how to implement it * Master the workings of host-based and network-based intrusion detection systems * Learn about network captures, cryptographic hashes, alerting, incident response, and more * Gain awareness of anomaly based and signature based intrusion detection systems * Learn to use open source intrusion detection systems like Snort, Suricata, and Bro * Understand how to perform file integrity checks using Tripwire and Samhain * Review multiple forms of built-into-the-OS IDS systems Download link: http://rapidgator.net/file/40acf49431bea1df4d2e52994e8c0fb6/ie6br.Understanding.Intrusion.Detection.Systems.Training.Video..Infinite.Skills.part1.rar.html]ie6br.Understanding.Intrusion.Detection.Systems.Training.Video..Infinite.Skills.part1.rar.html http://rapidgator.net/file/764fa2bf5a3fa9874ced41dd170fd23e/ie6br.Understanding.Intrusion.Detection.Systems.Training.Video..Infinite.Skills.part2.rar.html]ie6br.Understanding.Intrusion.Detection.Systems.Training.Video..Infinite.Skills.part2.rar.html http://nitroflare.com/view/1C171EA9F41ED83/ie6br.Understanding.Intrusion.Detection.Systems.Training.Video..Infinite.Skills.part1.rar]ie6br.Understanding.Intrusion.Detection.Systems.Training.Video..Infinite.Skills.part1.rar http://nitroflare.com/view/A4EE2C484F347FE/ie6br.Understanding.Intrusion.Detection.Systems.Training.Video..Infinite.Skills.part2.rar]ie6br.Understanding.Intrusion.Detection.Systems.Training.Video..Infinite.Skills.part2.rar http://uploaded.net/file/ye59e0pc/ie6br.Understanding.Intrusion.Detection.Systems.Training.Video..Infinite.Skills.part1.rar]ie6br.Understanding.Intrusion.Detection.Systems.Training.Video..Infinite.Skills.part1.rar http://uploaded.net/file/uxvwxdqe/ie6br.Understanding.Intrusion.Detection.Systems.Training.Video..Infinite.Skills.part2.rar]ie6br.Understanding.Intrusion.Detection.Systems.Training.Video..Infinite.Skills.part2.rar https://www.bigfile.to/file/U8qkdWxj3GnJ/ie6br.Understanding.Intrusion.Detection.Systems.Training.Video..Infinite.Skills.part1.rar]ie6br.Understanding.Intrusion.Detection.Systems.Training.Video..Infinite.Skills.part1.rar https://www.bigfile.to/file/KnvhxZxhWQ3V/ie6br.Understanding.Intrusion.Detection.Systems.Training.Video..Infinite.Skills.part2.rar]ie6br.Understanding.Intrusion.Detection.Systems.Training.Video..Infinite.Skills.part2.rar Links are Interchangeable - No Password - Single Extraction

Udemy - Face Detection -Master Open CV with Digital Image Processing English | MP4 | 1280x720 | 60 kbps | 44 KHz | 3 hours | 154 Mb Genre: eLearning Face Detection - Digital Image Processing and Open CV using C++. Best course for face detection and Open CV First of all let me tell you what is Open CV and what are the things that we can do using OpenCV. (If you are not familiar with Open CV), OpenCV is a open source C++ library for digital image processing and computer vision, which can be used to create real time face recognisation and using it with eMbedded robotics and micro controllers for purpose like differentiating a specific color from an image having various colors. Are you willing to become a programmer? Do you want to make softwares that actually sells? Do you want to present projects in your University and to score good marks? Do you wonder why you are not good at programming? Do you want to showcase your talent and present in front of your specific audience? Are you looking for getting projects as a freelancer but never got the opportunity? Do you want techniques and methods that will enhance your programming skills and more peoples would be appreciating you for your works? readmore Solution to all this we will cover in this course. "Few years back, I started learning programming and spent couple of months just to learn the basics. Then, for again a couple of months I spent my time learning advance of Open CV. Being in the same field for almost one year, I decided to start my own project. But I keep on stuck at various steps of my project as many of concepts were not cleared. I was not able to develop a simple software from the knowledge I gained. I was depressed and thinking to leave the programming. Then one day, I decided to give it one more try. I wrote down all the parts of my programming knowledge where I had weak concepts. I started visiting forums and posting my questions to sharpen my skills and doubt clearance. And again tried to create that project with fewer difficulties. I repeated the same method again and dig a lot. Now I got success, I am a professional programmer in C++ and OpenCV and now working with two companies." What you need is someone to teach you step by step every algorithm of OpenCV and C++, concepts which are widely used in programming and algorithms that are universal to each program. So that you can go forward without googling all day and night. Just 2 hours, you need only two hours to end this course and to become a master of Open CV and C++ advance. We have all the data collected from different resources at one place which includes : Real time face detection and object tracking. EMbed robotics and micro controllers. Differentiating specific colors from an image and video stream through webcam. Make projects like human detecting bots, color following bots, laser toy gun bots, bots playing football etc. And you can see the whole curriculum of the course under this section. Today you will have start up in OpenCV and C++ that will lead to make you a successful programmer. Today if you spend time watching your videos of this course then you don't need to google all time and collect resources. Yes, you could spend hours learning how to do it on google, and then you have to sort out the good from the bad information. And spend hundred of dollars taking private coaching that explain exactly how to do it, or you could buy all the information you need from this course for this little price. This course can be taken by anyone, as it includes section starting from beginners to advance step by step. The programming files includes comments on each line so that you won't have problem learning the program methodology. I will be updating it time to time with new projects and projects integrated with micro controllers and Arduino and projects on demand. Yes you can demand us a project that you are looking for and we will be creating and uploading it for you. No other course for OpenCV or Digital image processing is as simple as this and in this much of details. There is a summary page at the end of each section to sum up every topic under that section. You can ask me for help if you stuck or find any difficulty on understanding. I will put my best efforts into it. There is a 30 days money back guarantee also on this course, if in any case you don't like the course, then you can take the full refund from us. Hope to see you in the course. What are the requirements? Basic computer understanding What am I going to get from this course? Over 29 lectures and 2 hours of content! Installing OpenCV and setting up with MS Visual 2013 Understanding and Using OpenCV library function Face tracking (Real-time and also from image) Object Tracking (Real-time and also from image) Using it with Arduino (or other microcontroller) What is the target audience? Interested in openCV Using it with AVR Microcontollers DOWNLOAD http://rapidgator.net/file/11a997ccd298ad678205a274284d587e/hFace.part1.rar.html http://rapidgator.net/file/0cce6f17d7a5a22174ccadf7798fa2f3/hFace.part2.rar.html http://rapidgator.net/file/60e77daf5abaec5c5b76370e6c0f0e73/hFace.part3.rar.html http://uploaded.net/file/c2otrblb/hFace.part1.rar http://uploaded.net/file/rppvzcq8/hFace.part2.rar http://uploaded.net/file/guscdk52/hFace.part3.rar http://www.hitfile.net/0B8J/hFace.part1.rar.html http://www.hitfile.net/086M/hFace.part2.rar.html http://www.hitfile.net/084p/hFace.part3.rar.html http://www.uploadable.ch/file/Zfrgrgg65mJu/hFace.part1.rar http://www.uploadable.ch/file/mKhY6nvYAZEp/hFace.part2.rar http://www.uploadable.ch/file/VqTZHe6tgJkU/hFace.part3.rar

Udemy - Face Detection -Master Open CV with Digital Image Processing MP4 | Video: 1280x720 | 60 kbps | 44 KHz | Duration: 3 Hours | 249 MB Genre: eLearning | Language: English Face Detection - Digital Image Processing and Open CV using C++. Best course for face detection and Open CV First of all let me tell you what is Open CV and what are the things that we can do using OpenCV. (If you are not familiar with Open CV), OpenCV is a open source C++ library for digital image processing and computer vision, which can be used to create real time face recognisation and using it with embedded robotics and micro controllers for purpose like differentiating a specific color from an image having various colors. Are you willing to become a programmer? Do you want to make softwares that actually sells? Do you want to present projects in your University and to score good marks? Do you wonder why you are not good at programming? Do you want to showcase your talent and present in front of your specific audience? Are you looking for getting projects as a freelancer but never got the opportunity? Do you want techniques and methods that will enhance your programming skills and more peoples would be appreciating you for your works? Read more: Solution to all this we will cover in this course. "Few years back, I started learning programming and spent couple of months just to learn the basics. Then, for again a couple of months I spent my time learning advance of Open CV. Being in the same field for almost one year, I decided to start my own project. But I keep on stuck at various steps of my project as many of concepts were not cleared. I was not able to develop a simple software from the knowledge I gained. I was depressed and thinking to leave the programming. Then one day, I decided to give it one more try. I wrote down all the parts of my programming knowledge where I had weak concepts. I started visiting forums and posting my questions to sharpen my skills and doubt clearance. And again tried to create that project with fewer difficulties. I repeated the same method again and dig a lot. Now I got success, I am a professional programmer in C++ and OpenCV and now working with two companies." What you need is someone to teach you step by step every algorithm of OpenCV and C++, concepts which are widely used in programming and algorithms that are universal to each program. So that you can go forward without googling all day and night. Just 2 hours, you need only two hours to end this course and to become a master of Open CV and C++ advance. We have all the data collected from different resources at one place which includes : Real time face detection and object tracking. Embed robotics and micro controllers. Differentiating specific colors from an image and video stream through webcam. Make projects like human detecting bots, color following bots, laser toy gun bots, bots playing football etc. And you can see the whole curriculum of the course under this section. Today you will have start up in OpenCV and C++ that will lead to make you a successful programmer. Today if you spend time watching your videos of this course then you don't need to google all time and collect resources. Yes, you could spend hours learning how to do it on google, and then you have to sort out the good from the bad information. And spend hundred of dollars taking private coaching that explain exactly how to do it, or you could buy all the information you need from this course for this little price. This course can be taken by anyone, as it includes section starting from beginners to advance step by step. The programming files includes comments on each line so that you won't have problem learning the program methodology. I will be updating it time to time with new projects and projects integrated with micro controllers and Arduino and projects on demand. Yes you can demand us a project that you are looking for and we will be creating and uploading it for you. No other course for OpenCV or Digital image processing is as simple as this and in this much of details. There is a summary page at the end of each section to sum up every topic under that section. You can ask me for help if you stuck or find any difficulty on understanding. I will put my best efforts into it. There is a 30 days money back guarantee also on this course, if in any case you don't like the course, then you can take the full refund from us. Hope to see you in the course. What are the requirements? Basic computer understanding What am I going to get from this course? Over 29 lectures and 2 hours of content! Installing OpenCV and setting up with MS Visual 2013 Understanding and Using OpenCV library function Face tracking (Real-time and also from image) Object Tracking (Real-time and also from image) Using it with Arduino (or other microcontroller) What is the target audience? Interested in openCV Using it with AVR Microcontollers http://rapidgator.net/file/3ecbdff98cd1fcb60d7f61963cee65c4/1jtid.Udemy..Face.Detection.Master.Open.CV.with.Digital.Image.Processing.part1.rar.html http://rapidgator.net/file/a96727cce45adc6c89a2e36db980198f/1jtid.Udemy..Face.Detection.Master.Open.CV.with.Digital.Image.Processing.part2.rar.html http://rapidgator.net/file/673ac2fae097067802196588e588f802/1jtid.Udemy..Face.Detection.Master.Open.CV.with.Digital.Image.Processing.part3.rar.html http://www.nitroflare.com/view/F2065533D403E9A/1jtid.Udemy..Face.Detection.Master.Open.CV.with.Digital.Image.Processing.part1.rar http://www.nitroflare.com/view/420A4E80A32D9B8/1jtid.Udemy..Face.Detection.Master.Open.CV.with.Digital.Image.Processing.part2.rar http://www.nitroflare.com/view/F2CB30538F7E4F7/1jtid.Udemy..Face.Detection.Master.Open.CV.with.Digital.Image.Processing.part3.rar http://uploaded.net/file/20zqkyya/1jtid.Udemy..Face.Detection.Master.Open.CV.with.Digital.Image.Processing.part1.rar http://uploaded.net/file/wqlyu0yz/1jtid.Udemy..Face.Detection.Master.Open.CV.with.Digital.Image.Processing.part2.rar http://uploaded.net/file/d44yl8eu/1jtid.Udemy..Face.Detection.Master.Open.CV.with.Digital.Image.Processing.part3.rar http://www.uploadable.ch/file/TGF6w6TJW4Ah/1jtid.Udemy..Face.Detection.Master.Open.CV.with.Digital.Image.Processing.part1.rar http://www.uploadable.ch/file/6cqgFS6B7Qum/1jtid.Udemy..Face.Detection.Master.Open.CV.with.Digital.Image.Processing.part2.rar http://www.uploadable.ch/file/EQZ4JaPQF8x4/1jtid.Udemy..Face.Detection.Master.Open.CV.with.Digital.Image.Processing.part3.rar