Sometimes, I miss paper-based magazines, and when I have an opportunity to stay and look through newsstands in supermarkets or bookstores, I do, and sometimes buy. Harvard Business Review is good one. Wired is sucks, one of the worst.
Does anyone know good magazines about tech/programming/engineering?
I found CODE Magazine [*], which looks promising, but it is primarily about C#/.NET.
Once upon a time there was Google Web Toolkit (GWT), ASP.NET WebForms. What approach do they use, the same as FastUI? Now there is Blazor for C#, how does its approach differ from FastUI? I think they all promise to write UI for Web without writing JavaScript code.
On the crowdfunding page [1] they revealed causes why they decided to run the campaign:
> Our goals with crowdfunding the development of OpenCV 5 are several: 1) To make OpenCV 5 our biggest release ever, with the most community participation of any version so far, 2) To prove to other struggling open source projects that crowdfunding is a viable option over seeking corporate donations exclusively, 3) To create a sustainable method of fundraising that OpenCV can return to year after year, making the overall organization and project more robust to global instability.
> Recently, due to global conflicts and instability, OpenCV has lost several core team members, and this has slowed progress on both new feature development and the handling of bugs and requests in the GitHub repository.
> Crowdfunding development of a big Open Source project like OpenCV is a big move. We aren’t aware of ANYONE doing it at this scale. As a non-profit organization, we are constantly fighting to find funding, but we always find support in our community. Instead of spending our time chasing big checks from billionaires, we are putting that community front and center.
There are thousands (millions?) of nonprofits who fundraise incessantly—any org that's mission driven without a profit motive needs to have that activity (and the resulting CRM management) as part of their fabric to thrive.
I think a few of the bigger software projects are realizing relying on a few generous whales is unsustainable when money faucets are turned off... and it's a good thing for the long term stability of these groups to figure out how to sustain the core project.
As long as it doesn't get annoying (multiple appeals every quarter, incessant "support us or we'll DIE!" messages...) I'm fine with fundraising initiatives for OSS.
I wonder if they were lost, as in passed away, or just lost as in they live in countries that can’t do business with the organization for legal reasons anymore. Hopefully the latter and they’ll find some way back eventually…
Yes, it is totally relevant. Creating a product that processes images/videos/photos typically requires composing some small models, applying classical functions to work with polygons, edges, transformation matrices to rotate/shift coordinates and pixels, resizing, working with colors, working with bright/contrast curves, open/write files, classic filters, etc. PyTorch and Tensorflow don't have this or use in their examples OpenCV functions to do it.
What are the best ways to build and generate binaries for mobile platforms, let's say Android, by reducing the binary/.so size considerably? Let's say if I need only warpPerspective (and nothing else at all) - what is the easiest way to build for that? Are there docs around it, something step by step guide for people who are not well versed with CV coding or even C coding? Or has there been a smaller need based Android port (or a maven artefact) planned? (I am assuming you are related to the project). And thank you for the awesome work!
Location: Brazil
Remote: Yes (4+ years)
Willing to relocate: Yes, I am easy going
Technologies: Python and Golang, Numpy, Pandas, SciPy, Scikit-learn, PyTorch, OpenCV, Pillow, Matplotlib, Docker, Git, Bash, GDAL
Résumé/CV: https://www.linkedin.com/in/ilirium/
Email: [kalimulin.jbs] located in the [gmail.com] service
Seeking: full-time or contract, I have my own company
Hi, I have 12+ years in tech and analytics, of which 4+ years are working as a Data Scientist. I completed PhD degree 8 years ago. I have broad experience with machine/deep learning (ML & DL) and data science in computer vision (CV), geospatial & climate data. Solid software engineering skills and mindset. I use satellite images, radar data, and time-series structured data in my projects. Now I am learning Rust and am interested in using it in projects.
Key results:
– Create, train and tune DL models
– Statistical processing and data analytics of times series from IoT sensors and satellite images
– Remote sensing and computer vision: georeferencing, warping, image filtering and processing, object recognition, interpolation
– Benchmarking and speed up: async, threads, multiprocessing, multidimensional array algorithms with Numpy
– Developed backends for data analyzing services and prediction API in Python and Golang
– Dashboard for comparing data sources by different statistic metrics
– Deployed services to production and staging with Docker Compose, GitLab CI/CD and Bash
Fields: AI, Data Science, Machine Learning, Deep Learning, Computer Vision, Backend. Geospational data and IoT sensors (weather and environmental), satellite images, gridded/array data and time-series.
Location: Brazil
Remote: Yes, or Hybrid or Office
Willing to relocate: Yes, it is possible
Technologies: Python and Golang, Numpy, Pandas, SciPy, Scikit-learn, PyTorch, OpenCV, Pillow, Git, Bash, Jupyter, Matplotlib, PyCharm, Docker, GDAL
Résumé/CV: https://www.linkedin.com/in/ilirium/
Email: [kalimulin.jbs] located in the [gmail.com] service
Hi, I have 12+ years in tech and analytics, of which 4+ years are working as a Data Scientist. I completed PhD degree 8 years ago. I have broad experience with machine/deep learning (ML & DL) and data science in computer vision (CV), geospatial & climate data. Solid software engineering skills and mindset. I use satellite images, radar data, and time-series structured data in my projects. Now I am learning Rust (and WebAssembly/WASM) and am interested in using them in projects.
Fields: Data Science, Machine Learning, Deep Learning, Computer Vision. Geospational data and IoT sensors (weather and environmental), satellite images, gridded/array data and time-series.
Key results related to hard skills:
– Create, train and tune DL models
– Statistical processing and data analytics of times series from IoT sensors and satellite images
– Remote sensing and computer vision: georeferencing, warping, image filtering and processing, object recognition, interpolation
– Benchmarking and speed up: async, threads, multiprocessing, multidimensional array algorithms with Numpy
– Developed backends for data analyzing services and prediction API in Python and Golang
– Dashboard for comparing data sources by different statistic metrics
– Deployed services to production and staging with Docker Compose, GitLab CI/CD and Bash
Location: Brazil
Remote: Yes, or Hybrid or Office
Willing to relocate: Yes, it is possible
Technologies: Data Science, Machine Learning, Deep Learning, Computer Vision. Geospational data and IoT sensors (weather and environmental), satellite images, gridded/array data and time-series.
Résumé/CV: https://www.linkedin.com/in/ilirium/
Email: [kalimulin.jbs] located in the [gmail.com] service
Hi, I have 12+ years in tech and analytics, of which 4+ years are working as a Data Scientist. I completed PhD degree 8 years ago. I have broad experience with machine/deep learning (ML & DL) and data science in computer vision (CV), geospatial & climate data. Solid software engineering skills and mindset. I use satellite images, radar data, and time-series structured data in my projects. Now I am learning Rust and am interested in using it in projects.
Main tech stack: Python and Golang, Numpy, Pandas, SciPy, Scikit-learn, PyTorch, OpenCV, Pillow, Git, Bash, Jupyter, Matplotlib, PyCharm, Docker, GDAL
Key results related to hard skills:
– Create, train and tune DL models
– Statistical processing and data analytics of times series from IoT sensors and satellite images
– Remote sensing and computer vision: georeferencing, warping, image filtering and processing, object recognition, interpolation
– Benchmarking and speed up: async, threads, multiprocessing, multidimensional array algorithms with Numpy
– Developed backends for data analyzing services and prediction API in Python and Golang
– Dashboard for comparing data sources by different statistic metrics
– Deployed services to production and staging with Docker Compose, GitLab CI/CD and Bash
Location: Brazil (South America)
Remote: Yes, or Hybrid or Office
Willing to relocate: Yes, it is possible
Technologies: Data Science, Machine Learning, Deep Learning, Computer Vision. Geospational data and IoT sensors (weather and environmental), satellite images, gridded/array data and time-series.
Résumé/CV: https://www.linkedin.com/in/ilirium/ DM or email for formal resume in PDF
Email: [kalimulin.jbs] located in the [gmail.com] service
Hi, I have 12+ years in tech and analytics, of which 4+ years are working as a Data Scientist. I completed PhD degree 8 years ago. I have broad experience with machine/deep learning (ML & DL) and data science in computer vision (CV), geospatial & climate data. Solid software engineering skills and mindset. I use satellite images, radar data, and time-series structured data in my projects. Now I am learning Rust and am interested in using it in projects.
1) Could you share examples of bad, good, and open-source Japanese software? Outside of the gaming industry and except for Ruby.
2) Does they have some kind of the hacker culture?
3) May you know links which answer question: Why Europe/Brazil/Turkey/Russia/etc failed to build well-known and international software companies, FAANG-like.
> 1) Could you share examples of bad, good, and open-source Japanese software Outside of the gaming industry and except for Ruby.
"Outside of Gaming and Ruby" cuts out a lot. There is plenty of very good software, but not much that has made it outside of Japan. Nulab has made some cool stuff. I love what Mui Labs are doing with UI.
> 2) Does they have some kind of the hacker culture?
We are getting there. I think there are almost two "hacker cultures" in Japan. There are developers who model their lives on the Silicon Vally lifestyle, and there are people who just love programming. The overlap is not as large as you might imagine.
> 3) May you know links which answer question: Why Europe/Brazil/Turkey/Russia/etc failed to build well-known and international software companies, FAANG-like.
I'm not an expert in those counties, so I don't have a great deal of insight. During the dot-com book, companies like SAP and Nokia did great, but this time around the US has certainly been the winner in this winner-take-all marketplace.
Does anyone know good magazines about tech/programming/engineering?
I found CODE Magazine [*], which looks promising, but it is primarily about C#/.NET.
[*] https://www.codemag.com/magazine/