mcotton
Joined 18 years ago
Joined 18 years ago
You can grab the code here: https://github.com/mcotton/listing
I run it in Docker on my laptop or Synology NAS. It uses the OpenAI/Ollama URL schema for processing.
I have an older M2 Mac mini that does the OCR and visual description of all my screenshots. Screenshots are stored on my NAS.
I like to screenshot things as a quick way to remember. They are things that I would not be comfortable sending a cloud provider (customer data, prototype screenshots, bank dispute details).
It runs Qwen3.5:9b and glm5.2-ocr with Ollama and uses about 10GB of RAM. It automatically releases the models from RAM after 5 minutes of inactivity so it is pretty seamless to leave running in the background.
All the details are stored in a simple webapp with a SQLite db that I can search through.
If there was a loss prevention specific video analytic that flagged a person’s behavior as abnormal, would the person have a right to audit the source code for the CNN and/or the training data that was used in the development of that analytic?
As someone working on such analytics it could become a real adventure to comply with that. My dataset came from customers that agreed to shared with positive/negative examples with me but not necessarily for me to share publicly. The privacy of the people in the shared examples would also need to be considered.
I'm not pretending a network drive is local, but actually mirror the important data from my NAS to a locally connected 14TB USB drive. It stays connected all the time.
I have some cron jobs that run rsync scripts, but the data that needs to be backed up rarely changes. This gives me 30TB on my NAS, of which, 14TB are backed up in backblaze for $60/year.
I can make this work in my situation because the items I want backed up are less than the working space I want on my NAS.
Once I get back into the house, I've burned off some energy and can focus on my side project. For whatever reason if I sit in front of the computer all weekend I have a hard time getting started.
HUVRdata is looking for an experienced python/full stack developer to join our team. HUVR is expanding its data and analytics platform for drone based inspections. Our customer use drones to get a new view of the world. We provide them the tools and processing to get a new view of their data.
The ideal person has several successful projects that they've worked on before and has the right attitude to solve problems they've never seen before.
Our development team works with a very high level of autonomy. We trust each other to make the right decisions and help each other when needed.
We use Python and Google App Engine. If you haven't ever touched Google App Engine, don't worry, it's just a WSGI web server.
We use Node.js, NoSQL, mapreduce, and imagemagick, ffmpeg for image processing. Familiarity with these would be a plus.
If you are excited about what we are doing, send a resume and an introduction with an example of your work. Make sure it is something you're proud of (github, blog, Olympic medal, etc).
engineering at huvrdata.com
I'm uninstalling and re-downloading it but just wanted to let you know.
They spent a reported $8 million in very confusing ads. They sent text messages and push notifications to customers. All of this felt very disingenuous and deceptive. I will be sad to see them go but they are their own worst enemy right now.