PirateBay Download | computer vision theory projects python beginners

computer vision theory projects python beginners

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Uploaded On:: March 14, 2021, 10:24 a.m.
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Description Comprehensive Course Description: Computer vision (CV), a subfield of computer science, focuses on replicating the complex functionalities of the human visual system. In the CV process, real-world images and videos are captured, processed, and analyzed to allow machines to extract contextual, useful information from the physical world. Until recently, computer vision functioned in a limited capacity. But due to the recent innovations in artificial intelligence and deep learning, this field has made great leaps. Today, CV surpasses humans in most routine tasks connected with detecting and labeling objects. The high-quality content of the Mastering Computer Vision from the Absolute Beginning Using Python coursepresents you with a great opportunity to learn and become an expert.You will learn the core concepts of the CV field. This course will also help you to understand the digital imaging process and identify the key application areas of CV.The course is: · Easy to understand. · Descriptive. · Comprehensive. · Practical with live coding. · Rich with state of the art and updated knowledge of this field. Although this course is a compilation of all the basic concepts of CV, you are encouraged to step up and experience more than what you learn. Your understanding of every concept is tested at the end of each section. The Homework assignments/tasks/activities/quizzes along with solutions will assess your learning. Several of these activities are focused on coding so that you are ready to run with implementations. The two hands-on projects in the last section—Change Detection in CCTV Cameras (Real-time) and Smart DVRs (Real-time)—make up the most important learning element of this course. They will help you sharpen your practical skills. Successful completion of these two projects will help you enrich your portfolio and kick-start your career in the CV field. The course tutorials are divided into 320+ videos along with detailed code notebooks. The videos are available in HD, and the total runtime of the videos is 27 hours+. Now is the perfect time to learn computer vision. Get started with this best-in-class course without any further delay! Teaching is our passion: In this course, we apply the proven learning by doing methodology. We build the interest of learners first. We start from the basics and focus on helping you understand each concept clearly. The explanation of each theoretical concept is followed by practical implementation. We then encourage you to create something new out of your learning. Our aim is to help you master the basic concepts of CV before moving onward to advanced concepts. The course material includes online videos, course notes, hands-on exercises, project work, quizzes, and handouts. We also offer you learning support. You can approach our team in case of any queries, and we respond in quick time. Course Content: The comprehensive course consists of the following topics: 1. Introduction a. Intro i. What is computer vision? 2. Image Transformations a. Introduction to images i. Image data structure ii. Color images iii. Grayscale images iv. Color spaces v. Color space transformations in OpenCV vi. Image segmentation using Color space transformations b. 2D geometric transformations i. Scaling ii. Rotation iii. Shear iv. Reflection v. Translation vi. Affine transformation vii. Projective geometry viii. Affine transformation as a matrix ix. Application of SVD (Optional) x. Projective transformation (Homography) c. Geometric transformation estimation i. Estimating affine transformation ii. Estimating Homography iii. Direct linear transform (DLT) iv. Building panoramas with manual key-point selection 3. Image Filtering and Morphology a. Image Filtering i. Low pass filter ii. High pass filter iii. Band pass filter iv. Image smoothing v. Image sharpening vi. Image gradients vii. Gaussian filter viii. Derivative of Gaussians b. Morphology i. Image Binarization ii. Image Dilation iii. Image Erosion iv. Image Thinning and skeletonization v. Image Opening and closing 4. Shape Detection a. Edge Detection i. Definition of edge ii. Naïve edge detector iii. Canny edge detector 1. Efficient gradient computations 2. Non-maxima suppression using gradient directions 3. Multilevel thresholding- hysteresis thresholding b. Geometric Shape detection i. RANSAC ii. Line detection through RANSAC iii. Multiple lines detection through RANSAC iv. Circle detection through RANSAC v. Parametric shape detection through RANSAC vi. Hough transformation (HT) vii. Line detection through HT viii. Multiple lines detection through HT ix. Circle detection through HT x. Parametric shape detection through HT xi. Estimating affine transformation through RANSAC xii. Non-parametric shapes and generalized Hough transformation 5. Key Point Detection and Matching a. Corner detection (Key point detection) i. Defining Corner ii. Naïve corner detector iii. Harris corner detector 1. Continuous directions 2. Tayler approximation 3. Structure tensor 4. Variance approximation 5. Multi-scale detection b. Project: Building automatic panoramas i. Automatic key point detection ii. Scale assignment iii. Rotation assignment iv. Feature extraction (SIFT) v. Feature matching vi. Image stitching 6. Motion a. Optical Flow, Global Flow i. Brightness constancy assumption ii. Linear approximation iii. Lucas–Kanade method iv. Global flow v. Motion segmentation b. Object Tracking i. Histogram based tracking ii. KLT tracker iii. Multiple object tracking iv. Trackers comparisons 7. Object detection a. Classical approaches i. Sliding window ii. Scale space iii. Rotation space iv. Limitations b. Deep learning approaches i. YOLO a case study 8. 3D computer vision a. 3D reconstruction i. Two camera setups ii. Key point matching iii. Triangulation and structure computation b. Applications i. Mocap ii. 3D Animations 9. Projects a. Change detection in CCTV cameras (Real-time) b. Smart DVRs (Real-time) After completing this course successfully, you will be able to: Relate the concepts and theories in computer vision with real-world problems. Implement any project from scratch that requires computer vision knowledge. Know the theoretical and practical aspects of computer vision concepts. Who this course is for: Learners who are absolute beginners and know nothing about Computer Vision. People who want to make smart solutions. People who want to learn computer vision with real data. People who love to learn theory and then implement it using Python. People who want to learn computer vision along with its implementation in realistic projects. Data Scientists. Machine learning experts. Who this course is for: Learners who are absolute beginners and know nothing about Computer Vision. People who want to make smart solutions. People who want to learn computer vision with real data. People who love to learn theory and then implement it using Python. People who want to learn computer vision along with its implementation in realistic projects. Data Scientists. Machine learning experts. Requirements No prior knowledge is needed. You will start from the basics and slowly build your knowledge in computer vision. A willingness to learn and practice. Knowledge of Python will be a plus. Since we teach by practical implementations, practice is a must. Last Updated 3/2021

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[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/18 Smart CCTV Project/323 Saving and Viewing Segments.mp4 154.4 MB
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[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/04 2D Geometric Transformations/104 Transformation Matrix Properties Implementation.en.srt 8.3 KB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/03 2D Scaling Transformations/049 Quiz 02(Image Copy and Flipping Vertically).en.srt 609 bytes
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[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/06 Binary Morphology/142 Erosion Theory.en.srt 8.0 KB
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[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/09 Shape Detection/212 RANSAC For Lines Sampling Points Randomly Implemenation.en.srt 7.4 KB
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[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/18 Smart CCTV Project/322 Saving Segments.en.srt 7.2 KB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/05 Geometric Transformation Estimation(Panorama)/129 Projective Transformation Estimation Removing Scale Factor.en.srt 7.2 KB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/03 2D Scaling Transformations/052 Saturations and Holes.en.srt 7.1 KB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/02 Introduction to Images/032 Hyper Spectral Images.en.srt 7.1 KB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/02 Introduction to Images/025 RGB to HSV theory and Algorithm.en.srt 7.0 KB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/18 Smart CCTV Project/325 Applications.en.srt 7.0 KB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/04 2D Geometric Transformations/106 Optional Affine Transformation SVD.en.srt 6.9 KB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/17 3D Reconstruction/308 Triangulation.en.srt 6.9 KB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/17 3D Reconstruction/307 Camera Matrix.en.srt 6.8 KB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/06 Binary Morphology/147 Erosion Python.en.srt 6.8 KB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/04 2D Geometric Transformations/070 Rotation Introduction.en.srt 6.7 KB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/06 Binary Morphology/139 Binary Images Python.en.srt 6.7 KB
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[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/06 Binary Morphology/158 Gradient Morphology.mp4 8.5 MB
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[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/06 Binary Morphology/145 Quiz 02(Erosion Theory).mp4 8.4 MB
.pad/288 1.6 MB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/08 Canny Edge Detector/174 Quiz(Canny Edge Detector OpenCV).mp4 8.1 MB
.pad/289 1.9 MB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/07 Image Filtering/171 CNN Course(You can Skip).mp4 7.7 MB
.pad/290 260.2 KB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/02 Introduction to Images/023 Quiz(RGB Color Images Matplotlib and OpenCV).mp4 7.6 MB
.pad/291 420.5 KB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/03 2D Scaling Transformations/043 Quiz(Scaling as a Matrix Multiplication Example Python).mp4 7.5 MB
.pad/292 491.4 KB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/03 2D Scaling Transformations/049 Quiz 02(Image Copy and Flipping Vertically).mp4 7.5 MB
.pad/293 525.6 KB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/02 Introduction to Images/016 Quiz(Reading, Manipulating and Saving Grayscale Image using Matplotlib Python).mp4 7.5 MB
.pad/294 552.3 KB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/09 Shape Detection/229 Drawback.mp4 7.3 MB
.pad/295 679.2 KB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/02 Introduction to Images/028 Solution(RGB to HSV Algorithm Implementation using Python).mp4 6.9 MB
.pad/296 1.1 MB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/04 2D Geometric Transformations/075 Quiz(Rotation Index Shifting).mp4 6.9 MB
.pad/297 1.1 MB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/03 2D Scaling Transformations/035 Quiz(Scaling Example in OpenCV).mp4 6.8 MB
.pad/298 1.2 MB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/04 2D Geometric Transformations/084 Quiz(Reflection Introduction).mp4 6.6 MB
.pad/299 1.4 MB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/04 2D Geometric Transformations/085 Solution(Reflection Introduction).mp4 6.5 MB
.pad/300 1.5 MB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/09 Shape Detection/214 Solution(RANSAC For Lines Sampling Points Randomly Implemenation).mp4 6.4 MB
.pad/301 1.6 MB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/04 2D Geometric Transformations/098 Quiz(Affine Transformation Implementation).mp4 6.3 MB
.pad/302 1.7 MB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/08 Canny Edge Detector/203 Quiz 02(NMS Implementation).mp4 6.2 MB
.pad/303 1.8 MB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/06 Binary Morphology/150 Solution 01(Dilation Theory).mp4 6.2 MB
.pad/304 1.8 MB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/05 Geometric Transformation Estimation(Panorama)/112 Quiz(Affine Transformation Estimation Introduction).mp4 6.2 MB
.pad/305 1.8 MB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/06 Binary Morphology/144 Solution 01(Erosion Theory).mp4 6.1 MB
.pad/306 1.9 MB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/05 Geometric Transformation Estimation(Panorama)/134 Quiz(DLT Implementation).mp4 6.1 MB
.pad/307 1.9 MB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/06 Binary Morphology/146 Solution 02(Erosion Theory).mp4 6.1 MB
.pad/308 1.9 MB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/02 Introduction to Images/020 Quiz(Introduction to RGB Images).mp4 6.0 MB
.pad/309 20.0 KB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/08 Canny Edge Detector/180 Quiz(Gaussian Filter Implementation).mp4 5.8 MB
.pad/310 228.5 KB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/09 Shape Detection/217 Quiz(RANSAC For Lines Fitting Line With 2 Points Implementation).mp4 5.7 MB
.pad/311 354.6 KB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/05 Geometric Transformation Estimation(Panorama)/120 Quiz(Affine Transformation Estimation with more than 3 Points).mp4 5.6 MB
.pad/312 374.7 KB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/02 Introduction to Images/011 Quiz(Grayscale Image).mp4 5.5 MB
.pad/313 471.1 KB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/08 Canny Edge Detector/183 Quiz(Gaussian Filter Smoothing Implementation).mp4 5.5 MB
.pad/314 552.8 KB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/06 Binary Morphology/152 Solution 02(Dilation Theory).mp4 5.4 MB
.pad/315 623.8 KB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/02 Introduction to Images/027 Quiz(RGB to HSV Algorithm Implementation using Python).mp4 5.2 MB
.pad/316 779.6 KB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/06 Binary Morphology/143 Quiz 01(Erosion Theory).mp4 5.2 MB
.pad/317 806.7 KB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/04 2D Geometric Transformations/089 Quiz 02(Reflection Implementation).mp4 5.1 MB
.pad/318 918.2 KB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/04 2D Geometric Transformations/081 Quiz(Rotation Implementation(Good Coding Practice)).mp4 5.1 MB
.pad/319 968.3 KB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/04 2D Geometric Transformations/087 Quiz 01(Reflection Implementation).mp4 4.9 MB
.pad/320 1.1 MB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/09 Shape Detection/213 Quiz(RANSAC For Lines Sampling Points Randomly Implemenation).mp4 4.7 MB
.pad/321 1.3 MB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/03 2D Scaling Transformations/057 Quiz 01(Inverse Scaling Python).mp4 4.7 MB
.pad/322 1.3 MB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/04 2D Geometric Transformations/078 Quiz(Rotation Implementation Complete).mp4 4.6 MB
.pad/323 1.4 MB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/06 Binary Morphology/149 Quiz 01(Dilation Theory).mp4 4.6 MB
.pad/324 1.4 MB
[TutsNode.com] - Computer Vision-Theory & Projects in Python for Beginners/08 Canny Edge Detector/196 Quiz(Gradient Direction Quantization).mp4 4.5 MB

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