Search Results for "ubuntu memory benchmark"

...The repo provides training recipes and models for standard datasets, as well as ablations that show how many non-local blocks to insert and at which stages. Efficient implementations keep memory and compute manageable so the blocks can be added without rewriting the entire backbone. The result is a practical, drop-in mechanism for upgrading purely local video models into context-aware networks with strong benchmark performance.

Viewpix allows the user to load all eleven bands of a Landsat 8 Level 1 data set into memory concurrently. You can scroll and view each band at full resolution. Change bands instantly with a single key press. Band 8 is 15 meters resolution, all other bands are 30m resolution. A 30m resolution gray scale scene is generated by Viewpix and is presented as band 12. Each Landsat 8 scene is roughly 190 X 180 kilometers.

The original is here: https://github.com/nagadomi/waifu2x Differences: - CPU only, no CUDA needed; - double-precision version; - GPU and CPU-trained models (on the fly conversion in memory); - adapted for Lua v5.2 (works with Torch 7 on x32 Ubuntu). 31-12-2016: - removed unneeded data copies, left from CUDA processing; - removed large duplicate files (see "ReadMe" before use).

Download GPS track from the GPS logger "Solmeta Geotagger Pro" under Linux; Auslesen des Geotaggers * Geotag images with image direction, pitch, roll; Geotagging mit Blickrichtung * Altitudes/Höhen from geonames.org * NMEA analysis: DOP, satellite