PyCon APAC 2022｜一般演講 Talks｜國泰金控 Cathay Financial Holdings / 美光科技 Micron 冠名贊助 ✏️ 共筆 Note：https://hackmd.io/@pycontw/S1tgw6Xki ?? Slido：https://app.sli.do/event/1BdbMfQK1qZCe1HRbbWyd4 ? 語言 Language：英文 English ? 層級 Level：中階 Intermediate ? 分類 Category：圖像處理 Graphics ? 摘要 Abstract ? There are many ways to make your photos and videos better and clear, such as super resolution, image colorization and video stabilization. One of the fundamental techniques is image denoising, i.e., to reduce noise from images. In the talk, we will firstly introduce the background and its related applications about image denoising. Then, a classic Deep Learning method: DnCNN will be taken as an example, to describe its main concepts and implementation in PyTorch. Finally, we will show a practical use case for old film restoration. ? 說明 Description ? Challenges for Image Denoising In the past, many traditional image denoising algorithms assume that the noise is under some well-known distributions, such as Guassian distribution. However, the distribution is unknown in real scenarios, which usually makes two kinds of results: the image is still noisy or the image becomes blurred. We’ll illustrate the situation (with examples) and possible ways to solve the problem by using Deep Learning. The main difference between traditional methods and Deep Learning methods is the latter apply modern Neural Network architectures and learn how to denoise from data. Related Applications We can apply the same image denoising technique to other tasks. For instance, DnCNN can directly solve the problem of super resolution (a task to enlarge the resolution of an image). In general, many applications about image restoration are well fit to the algorithms of image denoising. DnCNN and other Deep Learning Methods We’ll show the main components of a DnCNN model: Convolutional layer, Batch Normalization, ReLU, but details are ignored because materials about complicated mathematics are NOT the targets. Such concepts help when people try to build the network architecture. We will also introduce Residual Learning, an important technique used by DnCNN. Then, we will show how to train a DnCNN model by PyTorch, a popular Python based Deep Learning framework. If time permits, we may also compare DnCNN with the other popular solution: U-Net, an Auto-Encoder based method. Applying to Old Film Restoration The pain points of the old film restoration industry will be discussed. We'll tell the audience how to fit the problems of old film restoration to image denoising and use related techniques to solve the problems. Also, some difficulties we encountered in the processing of solving the problem, e.g., the trade-off between restoration capability and artifacts generation, will also be shared. The solutions include: the choice of Deep Learning models, the training method, data pre-processing and post-processing. ? 講者介紹 About Speaker - 蘇嘉冠 (Jia-Kuan, Su) ? J.K. is an AI Researcher and Developer in startup, he is always willing to share and discuss AI techniques with people. He is also an advocate of Unconditional Basic Income (UBI) in Taiwan. #pycontw #pyconapac2022 #python #imageprocessing #imagedenoising #videostabilization #pytorch Follow “PyCon Taiwan” ⭐️ Official Website: https://tw.pycon.org ⭐️ Facebook: https://www.facebook.com/pycontw ⭐️ Instagram: https://www.instagram.com/pycontw ⭐️ Twitter: https://twitter.com/PyConTW ⭐️ LinkedIn: https://www.linkedin.com/company/pycontw ⭐️ Blogger: https://pycontw.blogspot.com ... https://www.youtube.com/watch?v=ddi58EcZPxw

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Let's welcome Reuven Lerner from Israel! Not only did Reuven offer online courses, he also conducted on-site training for big companies around the world. He started his journey with a general tech education, and gradually shifted his direction to Python training. This time he shared his story of how it's like to be a full-time Python trainer and his teaching core value. He also shared a lot about his experience in teaching and helping his student grow. --- Guess what? Reuven offer free online courses for those who are starting as a beginner. Go check out his course on his website now! [Reuven's online course]: https://lerner.co.il/ --- 留言告訴我你對這一集的想法： https://open.firstory.me/user/ckmkshy2r2s5a0823k3c1t8uz/comments Follow “PyCon Taiwan” ⭐️ Official Website: https://tw.pycon.org ⭐️ Facebook: https://www.facebook.com/pycontw ⭐️ Instagram: https://www.instagram.com/pycontw ⭐️ Twitter: https://twitter.com/PyConTW ⭐️ LinkedIn: https://www.linkedin.com/company/pycontw ⭐️ Blogger: https://pycontw.blogspot.com ... https://www.youtube.com/watch?v=kjiuhMtI_A4

PyCon Taiwan 2016｜一般演講 Talks｜Geo Processing With Python: How to Convert, Clean, Aggregate and Compress Your Geo-Data for Web ? 摘要 Abstract ? How to start transforming my shapefiles? What geo formats should I use for web? How to design geo data processing pipeline? What are geojson, topojson, epsg or shapefiles? Join us for this talk and you'll walk away with a better understanding of Geo Processing with Python. We will go through the design process for map-visualization web app from the geo data processing point of view. Starting with the entire design process for the data pipeline including software architecture, used technologies, automation, mapping the data to the geo-data and optimizing the maps for the web. You will have concrete examples on how this approach was applied in a project for the World Bank. You should walk away with the tools and skills to design and implement a geo data pipeline for their own project. ? 關於講者 About Speaker - Juha Suomalainen ? Originally from Finland, but currently living in Shanghai. I have a degree in telecommunications engineering and have experience on multiple areas including Data Portals, DevOps and Telecommunications. I work as a Software Engineering Director at Wiredcraft. I balance my time between the roles of software architect, tech lead and programmer. My strength is Python but I am used to working in multilanguage systems. I am also the lead engineer for devo.ps (http://devo.ps). Programming has been part of my life since young age. In my free time I like to play sports (any sport!) and learn new technologies. I also like attending and presenting in the local engineering meetups. #python #pycontw #pycontw2016 Follow “PyCon Taiwan” ⭐️ Official Website: https://tw.pycon.org ⭐️ Facebook: https://www.facebook.com/pycontw ⭐️ Instagram: https://www.instagram.com/pycontw ⭐️ Twitter: https://twitter.com/PyConTW ⭐️ LinkedIn: https://www.linkedin.com/company/pycontw ⭐️ Blogger: https://pycontw.blogspot.com ... https://www.youtube.com/watch?v=70wOpnEbqSY