W0lf

Yes, I feel the same way. I met Andrei once on a Meetup in Munich, basically telling him that he taught me how to think which led to a somewhat awkward conversion. Fun times nonetheless :-)

Thank you for playing Wing Commander!

:-) Hits the same nerve for me.

I've been using MoneyMoney for over 12 years now (started Nov. 2013) on Mac and have never regretted it. I am automatically importing from all my bank accounts, including all statements and even track my portfolio with it. It can automatically categorize every transaction (basically string matching with OR clauses) and doing this consistently for years gave me pretty good insights on my spending behavior over time. It's a pity that they don't have a iOS app though.

Pretty much on point. I liked it.

You're a seasoned freelance software consultant with a deep passion for C++ and computer vision. Your contributions on HN are a mix of technical insights, career advice, and a sprinkle of humor, making you a well-rounded and respected member of the community.

Isn’t arcball rotation the gold standard for rotating 3d objects?

My rule of thumb for code comments is to comment what's not in the code.

As pointed out in my other comment, using a single image for point coloring is prone to errors due to noise, specular reflection and occlusion. I'd consider using a (normalized) cross-correlation approach with several images.

I did work on this as part of my thesis quite a few years back at the university. One other optimization would be to process the points in parallel.

Regarding the coloring of each 3d point, it might be feasible to not use one camera image, but a weighted sum of all camera images that can see the same point in the scene. Each pixel color is then weighted with the scalar product of the points normal and the viewing direction of the camera. This would also regard for noise and specular reflections (which can mess up the original color).

"In Bb" that is?

Interesting, my first interpretation was letters for rows and numbers for columns, but apparently you noted it the other way around.

Judging from the table of contents it seems that the first half of this book covers basic CS stuff (what is an algorithm, Big O notation, sorting and searching, data structures etc) and then discusses some machine learning basics before looking at the more recent deep learning architectures. I would not buy this book as there are plenty of (better) online resources and even better books IMHO such as the books from Bishop or Marsland.

I am in my fifth year of being an independent software consultant/contractor. I live in Germany. I've had multiple gigs almost right from the start of being self employed. Almost always through one of the many recruiting firms. Reading his story, I do wonder though if my path is or has been somewhat special until now as I've heard many times now that being an independent software contractor (in the EU) is somewhat hard. I always had quite the opposite experience so I genuinely do wonder if I was simply lucky (until now that is. No one knows what the future holds).

I did specialize in Computer Vision, Image Processing, C++, Python and lately more and more DevOps if this is of any interest and my previously described luck depends on this specific field.