The maintained version now lives at ProxMox Cluster - Soup-to-Nutz, part of scyto/homelab-docs.
Questions or troubleshooting? Continue the conversation here — a Q&A discussion where replies thread properly, answers can be marked, and everything is searchable. The 51 comments below stay exactly where they are as an archive.
CustomJS files:
- create.js - file creation
- dated.js - date-based file manipulation (daily, weekly, monthly, yearly)
- project.js - random functions for project files (crosses with dataview)
- task-cleanup.js - finds all dated tasks from the previous month and un-tasks them
List of desktop Nvidia GPUS ordered by CUDA core count
Compute Capability from (https://developer.nvidia.com/cuda-gpus) Check the card / architecture / gencode info: (https://arnon.dk/matching-sm-architectures-arch-and-gencode-for-various-nvidia-cards/)
| GPU | CUDA cores | Memory | Processor frequency | Compute Capability | CUDA Support |
|---|---|---|---|---|---|
| GeForce GTX TITAN Z | 5760 | 12 GB | 705 / 876 | 3.5 | until CUDA 11 |
| NVIDIA TITAN Xp | 3840 | 12 GB | 1582 | 6.1 | CUDA 8+ |
| [opcache] | |
| ; Determines if Zend OPCache is enabled | |
| opcache.enable=1 | |
| ; Determines if Zend OPCache is enabled for the CLI version of PHP | |
| ;opcache.enable_cli=1 | |
| ; The OPcache shared memory storage size. | |
| opcache.memory_consumption=512 |
| #!/bin/bash | |
| # $1 = # of seconds | |
| # $@ = What to print after "Waiting n seconds" | |
| countdown() { | |
| secs=$1 | |
| shift | |
| msg=$@ | |
| while [ $secs -gt 0 ] | |
| do | |
| printf "\r\033[KWaiting %.d seconds $msg" $((secs--)) |
Ubuntu, Fedora, openSUSE, CentOS, SUSE Linux Enterprise, Debian,... users can finally use Autodesk Fusion 360 in the Linux Browser now.
On Chromium 55.0.2843.0 I get NET::ERR_CERTIFICATE_TRANSPARENCY_REQUIRED.
| translate([0,0,0]) sector(30, 20, 10, 90); | |
| translate([22,0,0]) sector(30, 20, 300, 30); | |
| translate([0,22,0]) sector(30, 20, 30, 300); | |
| translate([22,22,0]) sector(30, 20, 10, 190); | |
| module sector(h, d, a1, a2) { | |
| if (a2 - a1 > 180) { | |
| difference() { | |
| cylinder(h=h, d=d); | |
| translate([0,0,-0.5]) sector(h+1, d+1, a2-360, a1); |
| 23.21.150.121:3478 | |
| iphone-stun.strato-iphone.de:3478 | |
| numb.viagenie.ca:3478 | |
| s1.taraba.net:3478 | |
| s2.taraba.net:3478 | |
| stun.12connect.com:3478 | |
| stun.12voip.com:3478 | |
| stun.1und1.de:3478 | |
| stun.2talk.co.nz:3478 | |
| stun.2talk.com:3478 |
Gil Levi and Tal Hassner, Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns
Convolutional neural networks for emotion classification from facial images as described in the following work:
Gil Levi and Tal Hassner, Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns, Proc. ACM International Conference on Multimodal Interaction (ICMI), Seattle, Nov. 2015
Project page: http://www.openu.ac.il/home/hassner/projects/cnn_emotions/
If you find our models useful, please add suitable reference to our paper in your work.