Udemy- Autonomous Cars: The Complete Computer Vision Course 2021
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Description Autonomous Cars: Computer Vision and Deep Learning The automotive industry is experiencing a paradigm shift from conventional, human-driven vehicles into self-driving, artificial intelligence-powered vehicles. Self-driving vehicles offer a safe, efficient, and cost effective solution that will dramatically redefine the future of human mobility. Self-driving cars are expected to save over half a million lives and generate enormous economic opportunities in excess of $1 trillion dollars by 2035. The automotive industry is on a billion-dollar quest to deploy the most technologically advanced vehicles on the road. As the world advances towards a driverless future, the need for experienced engineers and researchers in this emerging new field has never been more crucial. The purpose of this course is to provide students with knowledge of key aspects of design and development of self-driving vehicles. The course provides students with practical experience in various self-driving vehicles concepts such as machine learning and computer vision. Concepts such as lane detection, traffic sign classification, vehicle/object detection, artificial intelligence, and deep learning will be presented. The course is targeted towards students wanting to gain a fundamental understanding of self-driving vehicles control. Basic knowledge of programming is recommended. However, these topics will be extensively covered during early course lectures; therefore, the course has no prerequisites, and is open to any student with basic programming knowledge. Students who enroll in this self-driving car course will master driverless car technologies that are going to reshape the future of transportation. Tools and algorithms we’ll cover include: OpenCV. Deep Learning and Artificial Neural Networks. Convolutional Neural Networks. YOLO. HOG feature extraction. Detection with the grayscale image. Colour space techniques. RGB space. HSV space. Sharpening and blurring. Edge detection and gradient calculation. Sobel. Laplacian edge detector. Canny edge detection. Affine and Projective transformation. Image translation, rotation, and resizing. Hough transform. Masking the region of interest. Bitwise_and. KNN background subtractor. MOG background subtractor. MeanShift. Kalman filter. U-NET. SegNet. Encoder and Decoder. Pyramid Scene Parsing Network. DeepLabv3+. E-Net. If you’re ready to take on a brand new challenge, and learn about AI techniques that you’ve never seen before in traditional supervised machine learning, unsupervised machine learning, or even deep learning, then this course is for you. Moreover, the course is packed with practical exercises that are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models. There are five big projects on healthcare problems and one small project to practice. These projects are listed below: Detection of road markings. Road Sign Detection. Detecting Pedestrian Project. Frozen Lake environment. Semantic Segmentation. Vehicle Detection. That is all. See you in class! “If you can’t implement it, you don’t understand it” Or as the great physicist Richard Feynman said: “What I cannot create, I do not understand”. My courses are the ONLY course where you will learn how to implement deep REINFORCEMENT LEARNING algorithms from scratch Other courses will teach you how to plug in your data into a library, but do you really need help with 3 lines of code? After doing the same thing with 10 datasets, you realize you didn’t learn 10 things. You learned 1 thing, and just repeated the same 3 lines of code 10 times… Who this course is for: Beginners who are starting to learn Computer Vision. Undergraduate students who are studying subjects related to Artificial Intelligence. People who want to solve their own problems using Computer Vision. Students who want to work in companies developing Computer Vision projects. People who want to know all areas inside Computer Vision, as well as know the problems that these techniques are able to solve. Anyone interested in Artificial Intelligence or Computer Vision. Data scientists who want to grow their portfolio. Professionals who want to understand how to apply Computer Vision to real projects. Software engineers interested in learning the algorithms that power self-driving cars. Requirements Basic Python programming Last Updated 4/2021
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/9. Vehicle Detection/6. YOLO Implementation Part 2.mp4 | 329.85 MiB |
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[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/4. Computer vision for Self-driving Cars/33.1 The_Hough_transform.ipynb | 50.72 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/6. Road Sign Detection/8.1 Udemy_Traffic_sign.ipynb | 49.27 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/9. Vehicle Detection/6. YOLO Implementation Part 2.srt | 23.17 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/1. Introduction/2. How To Make The Most Out Of This Course.srt | 2.45 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/9. Vehicle Detection/5. YOLO Implementation Part 1.srt | 19.07 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/7. Detecting Pedestrian Project/6. MeanShift Introduction.srt | 7.3 KiB |
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[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/9. Vehicle Detection/5.1 yolo.h5 | 237.19 MiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/4. Computer vision for Self-driving Cars/6.2 images2-20210319T024702Z-001.zip | 638.45 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/6. Road Sign Detection/9. Model accuracy.srt | 18.56 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/5. Detection of road markings by OpenCV/7. Optimizing the detected road markings.srt | 17.77 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/8. Semantic Segmentation/13. Semantic segmentation Implementation Part 4.srt | 17.23 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/5. Detection of road markings by OpenCV/8. Detecting road markings in a video.srt | 16.44 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/7. Detecting Pedestrian Project/3. MOG background subtractor.srt | 14.13 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/3. Basic Deep Learning Project/7. Training the model.srt | 12.03 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/1. Introduction/8. Important note about tools in this course.srt | 2.18 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/7. Detecting Pedestrian Project/8. Implementing pedestrians detection Part 1.srt | 11.63 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/1. Introduction/7. Important Terms in this course.srt | 11.16 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/8. Semantic Segmentation/10. Semantic segmentation Implementation Part 1.srt | 10.9 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/6. Road Sign Detection/8. Training model.srt | 10.74 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/7. Detecting Pedestrian Project/10. Implementing pedestrians detection Part 3.srt | 10.08 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/9. Vehicle Detection/5.4 Udemy_Image_YOLO_Implementation.ipynb | 10.08 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/7. Detecting Pedestrian Project/11. Implementing pedestrians detection Part 4.srt | 9.23 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/4. Computer vision for Self-driving Cars/31. Masking regions of interest.srt | 9.21 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/5. Detection of road markings by OpenCV/6. Applying the Hough transform.srt | 6.48 KiB |
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[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/1. Introduction/9. Introduction to Self-Driving Cars.srt | 9.02 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/2. Activation function/2. What is Rectified Linear Unit function.srt | 1.71 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/4. Computer vision for Self-driving Cars/14. Implementing Color space manipulation Part 2.srt | 8.74 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/2. Activation function/3. What is Leaky ReLU function.srt | 844 B |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/7. Detecting Pedestrian Project/9. Implementing pedestrians detection Part 2.srt | 8.72 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/2. Activation function/4. What is tanh function.srt | 1.12 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/8. Semantic Segmentation/11. Semantic segmentation Implementation Part 2.srt | 8.64 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/2. Activation function/5. What is Softmax function.srt | 1.23 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/3. Basic Deep Learning Project/2. Importing Data and Libraries.srt | 8.24 KiB |
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[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/2. Activation function/7. What is Swish function.srt | 1.92 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/4. Computer vision for Self-driving Cars/18. Sharpening and blurring Implementation.srt | 7.9 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/2. Activation function/8. What is sigmoid function.srt | 1.5 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/6. Road Sign Detection/1. Introduction to convolution neural network.srt | 7.74 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/6. Road Sign Detection/5. Loading data.srt | 7.72 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/7. Detecting Pedestrian Project/5. Detecting pedestrians Introduction.srt | 7.25 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/1. Introduction/5. What is Multilayer Neural Network.srt | 6.93 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/2. Activation function/9. Activation Function Implementation.srt | 6.85 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/4. Computer vision for Self-driving Cars/33. The Hough transform Implementation.srt | 6.74 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/4. Computer vision for Self-driving Cars/29. Perspective transformation Implementation.srt | 6.71 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/3. Basic Deep Learning Project/3. Splitting the dataset into training test and test set.srt | 2.7 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/3. Basic Deep Learning Project/6. Building and compiling the model.srt | 6.17 KiB |
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[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/4. Computer vision for Self-driving Cars/13. Implementing Color space manipulation Part 1.srt | 5.92 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/1. Introduction/11. Building the safe systems.srt | 5.87 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/5. Detection of road markings by OpenCV/9. Summary of the section.srt | 1.8 KiB |
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[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/5. Detection of road markings by OpenCV/7. Optimizing the detected road markings.mp4 | 193.4 MiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/3. Basic Deep Learning Project/9. Evaluating the model's performance.srt | 2.05 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/9. Vehicle Detection/5.3 images3-20210325T032710Z-001.zip | 346.71 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/3. Basic Deep Learning Project/10. Saving and loading models.srt | 1.97 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/4. Computer vision for Self-driving Cars/7.1 Udemy_Converting_images_from_RGB_to_grayscale (1).ipynb | 259.59 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/3. Basic Deep Learning Project/8. Predicting new, unseen data.srt | 3.25 KiB |
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[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/6. Road Sign Detection/9. Model accuracy.mp4 | 181.35 MiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/4. Computer vision for Self-driving Cars/1. Introduction.srt | 2.58 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/4. Computer vision for Self-driving Cars/8.1 Udemy_Converting_images_from_RGB_to_grayscale (1).ipynb | 259.59 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/4. Computer vision for Self-driving Cars/2. Computer vision Introduction.srt | 2.54 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/6. Road Sign Detection/9.1 Udemy_Traffic_sign (1).ipynb | 236.65 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/7. Detecting Pedestrian Project/4. KNN background subtractor.srt | 5.63 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/5. Detection of road markings by OpenCV/2. Loading the image using OpenCV and Converting the image into grayscale.srt | 5.58 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/4. Computer vision for Self-driving Cars/6. Converting images from RGB to grayscale.srt | 5.53 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/6. Road Sign Detection/7. Data Preperation.srt | 5.47 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/8. Semantic Segmentation/14. Semantic segmentation Implementation Part 5.srt | 5.46 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/4. Computer vision for Self-driving Cars/30. Cropping, dilating, and eroding an image Implementation.srt | 5.45 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/4. Computer vision for Self-driving Cars/5. Digital representation of an image.srt | 5.41 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/1. Introduction/10. Benefit of Self-Driving Cars.srt | 5.34 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/7. Detecting Pedestrian Project/2. Background subtraction.srt | 5.31 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/4. Computer vision for Self-driving Cars/22. Canny edge detection.srt | 5.25 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/1. Introduction/12. Deep learning and computer vision approaches for Self-Driving Cars.srt | 5 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/6. Road Sign Detection/4. Introduction to the project.srt | 4.99 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/5. Detection of road markings by OpenCV/4. Masking the region of interest.srt | 4.97 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/4. Computer vision for Self-driving Cars/8. QUICK FIX Video.srt | 977 B |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/3. Basic Deep Learning Project/4. Visualizing data.srt | 4.88 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/4. Computer vision for Self-driving Cars/32. Introduction to The Hough transform.srt | 4.88 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/4. Computer vision for Self-driving Cars/9. Introduction to the Color space techniques.srt | 1.31 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/4. Computer vision for Self-driving Cars/7. Detection with the grayscale image.srt | 4.5 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/4. Computer vision for Self-driving Cars/10. Introduction to RGB space.srt | 635 B |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/7. Detecting Pedestrian Project/7. Kalman filter.srt | 4.49 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/4. Computer vision for Self-driving Cars/11. Introduction to HSV space.srt | 2.54 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/4. Computer vision for Self-driving Cars/16. Introduction to convolution.srt | 4.46 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/4. Computer vision for Self-driving Cars/12. Introduction to Color space manipulation.srt | 1.11 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/3. Basic Deep Learning Project/1. Introduction to the project.srt | 4.3 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/1. Introduction/3. What is ANN.srt | 4.23 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/3. Basic Deep Learning Project/11. Summary of the project.srt | 4.19 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/8. Semantic Segmentation/9. E-Net.srt | 4.18 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/6. Road Sign Detection/2. Convolution Layers.srt | 4.12 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/6. Road Sign Detection/3. Pooling Layers.srt | 4 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/5. Detection of road markings by OpenCV/3. Smoothing the image and Implementing Canny Edge detection.srt | 3.96 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/4. Computer vision for Self-driving Cars/3. Challenges in Computer Vision.srt | 3.88 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/4. Computer vision for Self-driving Cars/4. Requirement of Self-Driving Cars.srt | 3.88 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/4. Computer vision for Self-driving Cars/26. Image translation Implementation.srt | 3.85 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/1. Introduction/1. Course structure.srt | 3.77 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/4. Computer vision for Self-driving Cars/25. Image rotation Implementation.srt | 3.71 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/8. Semantic Segmentation/12. Semantic segmentation Implementation Part 3.srt | 3.69 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/9. Vehicle Detection/1. Introduction.srt | 3.54 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/4. Computer vision for Self-driving Cars/15. Implementing Color space manipulation Part 3.srt | 3.42 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/4. Computer vision for Self-driving Cars/19. Introduction to Edge detection and gradient calculation.srt | 2.51 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/6. Road Sign Detection/10. Summary of the project.srt | 1.06 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/4. Computer vision for Self-driving Cars/20. Introduction to Sobel.srt | 2.26 KiB |
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[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/4. Computer vision for Self-driving Cars/21. Introduction to Laplacian edge detector.srt | 1.45 KiB |
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[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/1. Introduction/13. LIDAR and computer vision for Self-Driving Cars vision.srt | 3.1 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/8. Semantic Segmentation/4. U-NET.srt | 2.88 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/4. Computer vision for Self-driving Cars/27. Image resizing Implementation.srt | 2.87 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/4. Computer vision for Self-driving Cars/23. Application of image transformation.srt | 1.5 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/5. Detection of road markings by OpenCV/5. Applying bitwise_and.srt | 2.76 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/4. Computer vision for Self-driving Cars/24. Introduction to Affine and Projective transformation.srt | 2.41 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/8. Semantic Segmentation/1. Introduction to semantic segmentation.srt | 2.71 KiB |
[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/8. Semantic Segmentation/2. Semantic Segmentation Achitecture.srt | 2.71 KiB |
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[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/8. Semantic Segmentation/7. Pyramid Scene Parsing Network.srt | 2.21 KiB |
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[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/9. Vehicle Detection/3. The YOLO loss function.srt | 1.63 KiB |
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[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/7. Detecting Pedestrian Project/12. Summary of the section.srt | 1.61 KiB |
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[TutsNode.com] - Autonomous Cars The Complete Computer Vision Course 2021/9. Vehicle Detection/5. YOLO Implementation Part 1.mp4 | 177.4 MiB |
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