421–430 of 560 posts
Two years running, just crossed 5700 subscribers. MRR between $600 and $1000. Most successful thing I ever started and still love doing it. Kinda scary to have an “audience” of that size :)
In my free time I've been working on a 2D MMORPG engine in C#. I'm working on the networking code right now, working toward being able to connect and move around the game world. I'm enjoying the network code, but I'm really looking forward to getting back to shader code and implementing dynamic lighting at some point down the road. Wanting to build an MMORPG was the main thing that got me interested in software devel…
I am somewhat surprised how there are no modern 2D MMORPGs. It seems like it should be inherently easier to develop those, but there is nothing. I think it's a pity because simpler engine / graphics should allows for more resources to be spent on other areas regarding the gameplay.
Maybe those games just aren't popular enough to justify the development in comparison to bland but flashy 3D games..
Combining open-source photogrammetry software into a system that scales reasonably to >100k images (with accelerometer/gyroscope data from the video camera) and >1G vertices in a single, consistent, high-quality mesh. It later computes a texture map based on the images, not smoothing them, but just minimizing seams and using some seam carving and color interpolation to make most seams invisible. I want VR reconstruct…
I was wondering why you choose to go with video data rather than photos. From what I know, for a given feature point, you would rather have pictures with really different point of views. It seems to me video would generate a lot of redundant data, massively increasing processing times for very little gain. What's your experience on this?
We recorded a video from a drone, split it into frames, and built the mesh using those frames.
When drone is competently flown it creates a nice stripe of overlapping frames - and overlapping stripes(i don't know proper technical english translation for that term) of overlapping imaginery are basis of aerial photogrammetry.
Worst case - you can keep every n-th photo, or use some more intelligent approach and select the frames based on contrast, and other parameters.
Usually gathering data is the expensive part - in photogrammetry you try to take as much imaginery as possible - especially in traditional aerial photogrammetry.
- The current medical application used in our hospital does not have a way to track if a case is a re-admission or not. This information is very important in surgery and urology. The doctors are using an excel file to track this information at the moment and we are building an app so that this information gets put into a database and will also later be integrated into the main medical system.
- Currently, students in radiology do not get very many chances to actually look at images to practice so we are building a crowdsourcing platform for radiology images. This will also be useful for interviewing or general practice for professionals.
On the side, I've been working on https://ewolo.fitness - a workout tracking app that also has running and weight tracking built-in. I found all existing solutions too gimmicky and annoying - a workout tracker should be as flexible as possible and let you add your data and get out of your way...
* Doing some IT work through field service platforms like Fieldnation. About to start writing some software to auto-bid on some preferred assignments while I sleep. ;) This is a more involved task than you might think because it involves parsing free-form text and data mining email notifications. These sites have an annoying habit of not notifying when an offer is declined. Many projects post a ton of boilerplate with some relevant text in the middle. It also has to figure out if the city is close enough to other assignments so I don't wind up driving 30+ miles. * Working on my main software project, but really not. * Working on a new project related to helping people work on their cars.
It feels like I am level capped at an RPG. I need to raise my programming skill, which I want to do right, so I want to raise my math skill.
Combining open-source photogrammetry software into a system that scales reasonably to >100k images (with accelerometer/gyroscope data from the video camera) and >1G vertices in a single, consistent, high-quality mesh. It later computes a texture map based on the images, not smoothing them, but just minimizing seams and using some seam carving and color interpolation to make most seams invisible. I want VR reconstruct…
I am planning a new building on my property and really would love to have something like this to visualize it from different angles on the driveway, back porch, etc.
Contact jcims-hn-reconstruction on d10.pw (beware of the digits in the domain) and I'll get you a sample result, if you're interested. Email should work ;)
As a side project, I'm working on a route planning app for running. I'm a long distance runner and travel for work a lot, so I frequently find myself planning a run on one of the many existing apps at 5am in a new city whilst jetlagged. My bugbear is that all the existing apps suck. I want a way to say "give me a running route that lasts approximately 10km and is as scenic (greenery, water, mountains, etc) as possibl…
Try imaginerun.com. Imagine run wants to inspire people to start walking or running. The free app creates (three) possible routes via gps based on the distance and pace you set. All routes start and end at your current location, no matter where you are. The app is navigating you, so you can’t get lost at a place you are not familiar with.
That said, the app would timeout if I tried to build a route over 15km long. Also, it doesn't seem to prefer scenic routes - it has me running on busy streets in London when there's the Thames very close by.
After a decade of R&D, I am (finally) building the first, true multi-model database kernel. All traversable data relationships (relational, polygon intersection, graph data models, time series, etc) are directly represented in a singular data structure that is nearly optimal and extremely parallel. No secondary indexing required whatsoever to access these relationships, so ideal for mixed workloads. Built on top of a…
Fascinating. Have you written at all about this elsewhere? Is it open source? Would love to learn more!
The storage engine is extremely fast but the only unusual capabilities it has are architectural: the ability to continuously, in the background, reshard data (many tens of thousands of times per second per inexpensive server) and shift shards between storage engines. If you think about it, all this really requires from a storage engine is the ability to concurrently create and destroy logical files at an extremely high rate, much higher than a typical file/operating system allows. Some of the internal algorithms are novel but it is still just a storage engine. It is tuned for petabyte storage densities per server -- it was originally designed for exabyte-scale sensor data models.
None of my database work has ever been open sourced AFAIK, though many companies have older designs. The biggest practical hurdle to open sourcing is that it would require many man-months of tedious unpaid work and I have zero desire to do that. It is also a production-grade research project; I currently have no obligation, explicit or implied, to maintain any kind of compatibility if I feel like redesigning some aspect of it. That said, I also want to get away from the current reality that every company wants someone to build their own slight variation of these designs.