Looking for similar point and click games

I’m in a constant lookout for humours, sofa friendly point and click/adventure games. Please send me a suggestion if you know one. Here’s the list of game I played. I hope it gets indexed for you to find when you are on a quest to find a new game. I highly recommend all of the… Continue reading Looking for similar point and click games

The best IP address widget for Ubuntu

I’ve tested few of available ubuntu widgets for showing the IP address and the one I liked most is: https://www.maketecheasier.com/display-ip-address-system-tray-ubuntu/ It’s small, fast, simple and powerful. I love it.

imagemagick and ffmpeg cheat sheet

Make a sprite from photos magick.exe *.jpg +append sprites_P0100.jpg Resize all images in place magick.exe mogrify -resize 380 *.jpg Crop images in place magick.exe mogrify -crop 3200×3200+400+400 *.jpg Make and scale video from images ffmpeg -i DSC_%04d.jpg -c:v libx264 -vf fps=25 scale=800:800 alpin_400.mp4

Smart Home DIY on a tight budget

After twenty years of reading about smart homes I decided to finally make mine smart(-ish) as well. I’m working to reuse as much of existing infrastructure, so I can spend as little as possible. At the moment my system consist of: * hub * four google assistant speakers * hive thermostat * cctv camera *… Continue reading Smart Home DIY on a tight budget

Case Study: Using Machine Learning to find my Teddy Bear

Problem For the last 8 years I’ve been travelling with my Teddy Bear (Optymis) taking “selfies” of him whenever I go. The result is a massive collection of photos like those: I wanted to find them all to create an album. My wife and I accumulated a lot of photos – my Google Drive shows… Continue reading Case Study: Using Machine Learning to find my Teddy Bear

Tensorflow 1.5 with AVX2 support on Windows

Here’s a whl file with Tensorflow 1.5rc0 with AVX and AVX2 support. So grab the file and say goodbye to Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 message. Whl was built using Windows 10, Python 3.6, Cuda 9.0, Visual Studio 2015. Link to tensorflow_gpu-1.5.0rc0-cp36-cp36m-win_amd64.whl

Tensorflow 1.5 built with AVX support

TL;DR – download tensorflow 1.5 with AVX support from the link on the bottom of this post When running machine learning code on a new hardware using libraries available on PIP we are not using all capabilities provided by our cpu: 2018-01-10 09:35:05.048387: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\36\tensorflow\core\platform\cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not… Continue reading Tensorflow 1.5 built with AVX support