Computer Vision And Deep Learning - Rosebrock - 2012.pdf

所需积分/C币:9 2018-10-07 20:09:45 1.71MB PDF
收藏 收藏
举报

Hello there! My name is Adrian Rosebrock. I run PyImageSearch.com, a blog dedicated to computer vision, OpenCV, and deep learning. Above all else, my goal is help you on your journey studying computer vision. Nothing is more important to me. Enjoy the guide and always feel free to reach out if you h
Hello there My name is Adrian Rosebrock I run Pylmage Search com, a blog dedicated to computer vision, OpenCV, and deep learning. Above all else, my goal is help you on your journey studying computer vision Nothing is more important to me. Enjoy the guide and always feel free to reach out if you have any questions Adrian rose brock Chief Pylmage Searcher A little more about myself if you're interested I have a ph. D in computer science with a focus in computer vision and machine learning from the University of Maryland Baltimore County (UMBC) During my time in college I started two separate computer vision/machine learning startups and consulted with the National Cancer Institute to develop image processing and machine learning algorithms to automatically analyze breast histology images for cancer risk factors In the final year of my Ph. D, I started the Pylmage Search blog. Fast forward four years PylmageSearch is the largest computer vision and deep learning blog online On Pylmage Search you will find nearly 300 blog posts, tutorials, and guides. I've also authored two books( Practical Python and OpenCV, Deep Learning for Computer Vision with Python)and a course(PylmageSearch Gurus) and Python libraries you should be using to further your computer vision and deep D Inside this guide you'll find my curated list of books, conferences, tutorials, blog posts, learning education I'll also be sure to send you email announcements when I publish new blog posts or tutorials that I think you may like(normally once or twice a week Enjoy the guide! And if you found it helpful, please send me an email at adrian@pyimagesearch com or visit Pylmage Search com and leave a comment look forward to hearing from you soon Page 3 Python Libraries and Packages These are the computer vision and deep learning Python packages that I use daily. It is by no means an exhaustive list, but it includes the primary libraries you 'll encounter when reading a PylmageSearch blog post OpenCv inutile Most used computer vision library My collection of helper functions Highly efficient Facilitates real-time and utilities to make working with Image processing Open CV easier dlib scikit-earn Implementations of state-of-the-art Machine learning in Python CV and ML algorithms(including Simple. Efficient. Beautiful, easy to face recognition use APl scikit-image Tensorflow ollection of algorithms for image Open source machine learning processing. Contains some library. Often used for neural algorithm implementations that networks, deep learning, and as a OpenCv does not computational backend for Keras Keras manet High-level neural networks API A scalable deep learning Makes coding, training, and framework. Extremely fast and deploying neural networks efficient Capable of scaling across incredibly easy with its scikit-learn multiple gPus and multiple style AP machines age Tutorials, Guides, Blog Posts With PylmageSearch nearing 300+ blog posts, tutorials, and guides, I can appreciate how you may feel overwhelmed trying to figure out where to start (and which tutorials are most relevant to you). To help you get started, and help you navigate the wealth of content on the Pylmage Search blog, I've put together the following directory of some of the most popular topics and posts on the blog. Enjoy and happy reading! OpenCV and Image Processing If you,re new to computer vision or Open CV, or if you're looking to build a cool project using basic concepts, I would suggest starting with these posts How to install OpenCV on your system Image Difference with OpenCV and Python Rotate images (correctly) with OpenCV and Python Bubble sheet multiple choice scanner and test grader using omr, Python and OpenCv Detecting cats in images with OpenCV Measuring distance between objects in an image with Open CV Measuring size of objects in an image with Open CV Find distance from camera to object/marker using Python and OpenCV OpenCV shape detection Open Cv panorama stitching Detecting machine-readable zones in passport images Pedestrian Detection OpenCV Capturing mouse click events with Python and OpenCV Multi-scale Template Matching using Python and OpenCV Page 5 Deep Learning The intersection of computer vision and deep learning is arguably the most popular subfield of computer science. It also happens to be one of my favorite topics to write about! Check out these deep learning posts Keras and Convolutional Neural Networks(CNNs) How to(quickly) build a deep learning image dataset The 7 best deep learning books you should be reading right now ImageNet: VGGNet, ResNet, Inception, and Xception with Keras Deep Learning with OpenCV Object detection with deep learning and OpenCV Multi-label classification with Keras How-To: Multi-GPU training with Keras, Python, and deep learning A fun, hands-on deep learning project for beginners, students, and hobbyists Facial Applications From face detection to face recognition, these applications of computer vision applied to facial applications will keep you busy Face recognition with Open CV, Python, and deep learning Face detection with Open CV and deep learning Facial landmarks with dlib, OpenCV, and Python Real-time facial landmark detection with Open CV, Python, and dlib Detect eyes, nose, lips, and jaw with dlib, OpenCV, and Python Drowsiness detection with Open CV Eye blink detection with OpenCV, Python, and dlib Face Alignment with Open CV and Python (Faster) Facial landmark detector with dlib Page 6 OpenCV and video The following tutorials will be helpful to you if you are interested in applying computer vision to real-time video streams and video files Writing to video with OpenCV Saving key event video clips with OpenCV Real-time panorama and image stitching with OpenCV Unifying picamera and cv2 Video Capture into a single class with OpenCV Ball Tracking with OpenCV Open CV Track Object Movement Optical Character Recognition (OCR) OCR is the process of automatically detecting and recognizing text, including characters, letters, and digits, in images. Refer to these tutorials if you're interested in OCr Installing Tesseract for OCR Using Tesseract OCR with Python Credit card oCR with Open Cv and Python Bank check OCR with Open CV and Python(Part I) Bank check OCR with Open CV and Python(Part I) Recognizing digits with Open Cv and Python CBIR and Image Search Engines Content-Based Image Retrieval( CBIR)is the process of building image search engines. Check out these tutorials for more information The complete guide to building an image search engine with Python and OpenCV Hobbits and Histograms- A How-To Guide to building your first Image Search Engine in Python Page 7 Raspberry Pi The Raspberry Pi is a versatile piece of hardware, especially when applied to computer vision. I also really enjoy writing tutorials that incorporate the Raspberry pi. Check out the following raspberry pi computer vision guides Raspberry Pi Face Recognition Optimizing Open CV on the Raspberry Pi Real-time object detection with deep learning and openCV Home surveillance and motion detection with the Raspberry Pi, Python, Open CV, and Dropbox Keras and deep learning on the Raspberry Pi Raspberry Pi: Facial landmarks drowsiness detection with OpenCV and dlib Raspberry Pi: Deep learning object detection with OpenCV Deep learning on the Raspberry Pi with OpenCV Common errors using the Raspberry Pi camera module Multiple cameras with the Raspberry Pi and Open Cv Interviews In the past I've interviewed Francois Chollet(the creator of Keras, Davis King (the creator of dlib), Pylmage Search readers, and many others. Take a look at the interviews below An interview with Francois Chollet, creator of Keras and Google al researcher An interview with David Austin: 1 st place and $25,000 in Kaggle's most popular image classitication competition Pylmage Search Gurus member spotlight: Saideep Talari An interview with Davis King, creator of the dlib toolkit a day in the life of a Adrian Rosebrock: computer vision researcher, developer, and entrepreneur Image Search Gurus member spotlight: Tuomo Hippala Page 8 Meta Occasionally I write higher level blog posts that are aimed at helping you, the Image Search reader, to get the most value out of the blog. If you find yourself with questions but are unsure how to ask them, these are the guides for you How to get better answers to your computer vision questions A guide to asking questions on the Pylmage Search blog Page 9 Books and courses In the following sections, you'll find a list of books and courses I recommend to help you study computer vision and deep learning. This list is far from exhaustive, but that is purposeful-there are a huge number of books/courses out there and I want to provide you with a curated list to save you time and get you on the path to computer vision deep learning mastery faster Books I have authored Besides regularly publishing computer vision deep learning tutorials, articles, and posts on the Pylmage Search blog, I have also authored two books to help you on your computer vision and deep learning journey. Be sure to check them out Practical Python and OpenCV Case Studies Ct b Learn computer vision in a single weekend. Are you nterested in computer vision and image processing but don't know where to start? This book is your Practical Python and opencv + Case Studies guaranteed quick start guide to learning the An Introductory, Example Driven Guide to Image Processing and Computer Vision fun damentals of computer vision and image processing using Python and OpenCV AdrianRosebrox Cnegsach>Click here to learn more LEARNING Deep Learning for Computer Vision with Python FOR COMPUTER VISION My new deep learning book has one goal-to help you become in an expert in deep learning for image recognition and classification. Inside you' ll find super practical walkthroughs, hands-on tutorials, and a no- nonsense teaching style to help you master deep WITH PYTHON learning applied to computer vision. inogcscs Click here to learn more Page 10

...展开详情
试读 17P Computer Vision And Deep Learning - Rosebrock - 2012.pdf
立即下载 低至0.43元/次 身份认证VIP会员低至7折
    抢沙发
    一个资源只可评论一次,评论内容不能少于5个字
    关注 私信 TA的资源
    上传资源赚积分,得勋章
    最新推荐
    Computer Vision And Deep Learning - Rosebrock - 2012.pdf 9积分/C币 立即下载
    1/17
    Computer Vision And Deep Learning - Rosebrock - 2012.pdf第1页
    Computer Vision And Deep Learning - Rosebrock - 2012.pdf第2页
    Computer Vision And Deep Learning - Rosebrock - 2012.pdf第3页
    Computer Vision And Deep Learning - Rosebrock - 2012.pdf第4页
    Computer Vision And Deep Learning - Rosebrock - 2012.pdf第5页
    Computer Vision And Deep Learning - Rosebrock - 2012.pdf第6页

    试读已结束,剩余11页未读...

    9积分/C币 立即下载 >