eabase

## dlib and face_recognition on raspberry pi.md

      
              1 file
            
          
              66 forks
            
          
              107 comments
            
          
              212 stars
            
          
                ageitgey
                / dlib and face_recognition on raspberry pi.md
            
            
              Last active
              May 16, 2024 08:48
            
          
    Install dlib and face_recognition on a Raspberry Pi

Instructions tested with a Raspberry Pi 2 with an 8GB memory card. Probably also works fine on a Raspberry Pi 3.
Steps

Download the latest Raspbian Jessie Light image. Earlier versions of Raspbian won't work.
Write it to a memory card using Etcher, put the memory card in the RPi and boot it up.

  
## main.cpp
// SDL2 Hello, World!
// This should display a white screen for 2 seconds
// compile with: clang++ main.cpp -o hello_sdl2 -lSDL2
// run with: ./hello_sdl2
#include <SDL2/SDL.h>
#include <stdio.h>

#define SCREEN_WIDTH 640
#define SCREEN_HEIGHT 480

## pg-pong.py
""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
import numpy as np
import cPickle as pickle
import gym

# hyperparameters
H = 200 # number of hidden layer neurons
batch_size = 10 # every how many episodes to do a param update?
learning_rate = 1e-4
gamma = 0.99 # discount factor for reward

## Mount Mtd FS
# $UBIFS is ubifs image file
# make sure $IMAGE is a ubifs image file
blkid $(IMAGE)
  $(IMAGE): ... TYPE="ubifs"

# size of created mtd is 256.0 MiB
modprobe nandsim first_id_byte=0x2c second_id_byte=0xda third_id_byte=0x90 fourth_id_byte=0x95
flash_erase /dev/mtd0 0 0
ubiformat /dev/mtd0
modprobe ubi

## CUDA_Compilers.md

      
              1 file
            
          
              19 forks
            
          
              52 comments
            
          
              182 stars
            
          
                ax3l
                / CUDA_Compilers.md
            
            
              Last active
              May 30, 2024 14:19
            
              
                CUDA Compilers
              
          
    In general, check the crt/host_config.h file to find out which versions are supported.
Sometimes it is possible to hack the requirements there to get some newer versions working, too :)
Thrust version can be found in $CUDA_ROOT/include/thrust/version.h.
Download Archives: https://developer.nvidia.com/cuda-toolkit-archive
Release notes for CUDA Toolkit (CTK):

latest:   https://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html
archive: https://docs.nvidia.com/cuda/archive/


## gist:9145493
#!/bin/bash
# var for session name (to avoid repeated occurences)
sn=home

# Start the session and window 0 in /etc
#   This will also be the default cwd for new windows created
#   via a binding unless overridden with default-path.
cd /etc
tmux new-session -s "$sn" -n etc -d

## gist:7360908

      
              1 file
            
          
              3653 forks
            
          
              1024 comments
            
          
              16718 stars
            
          
                rxaviers
                / gist:7360908
            
            
              Last active
              May 31, 2024 14:32
            
              
                Complete list of github markdown emoji markup
              
          
    People


 :bowtie:
😄 :smile:
😆 :laughing:


😊 :blush:
😃 :smiley:
☺️ :relaxed:


😏 :smirk:
😍 :heart_eyes:
😘 :kissing_heart:


😚 :kissing_closed_eyes:
😳 :flushed:
😌 :relieved:


😆 :satisfied:
😁 :grin:
😉 :wink:


😜 :stuck_out_tongue_winking_eye:
😝 :stuck_out_tongue_closed_eyes:
😀 :grinning:


😗 :kissing:
😙 :kissing_smiling_eyes:
😛 :stuck_out_tongue:


## Comments.tmPreferences
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple Computer//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
	<key>name</key>
	<string>Comments</string>
	<key>scope</key>
	<string>source.Uniface</string>
	<key>settings</key>
	<dict>
	// SDL2 Hello, World!
	// This should display a white screen for 2 seconds
	// compile with: clang++ main.cpp -o hello_sdl2 -lSDL2
	// run with: ./hello_sdl2
	#include <SDL2/SDL.h>
	#include <stdio.h>

	#define SCREEN_WIDTH 640
	#define SCREEN_HEIGHT 480
	""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
	import numpy as np
	import cPickle as pickle
	import gym

	# hyperparameters
	H = 200 # number of hidden layer neurons
	batch_size = 10 # every how many episodes to do a param update?
	learning_rate = 1e-4
	gamma = 0.99 # discount factor for reward
	# $UBIFS is ubifs image file
	# make sure $IMAGE is a ubifs image file
	blkid $(IMAGE)
	$(IMAGE): ... TYPE="ubifs"

	# size of created mtd is 256.0 MiB
	modprobe nandsim first_id_byte=0x2c second_id_byte=0xda third_id_byte=0x90 fourth_id_byte=0x95
	flash_erase /dev/mtd0 0 0
	ubiformat /dev/mtd0
	modprobe ubi
	#!/bin/bash
	# var for session name (to avoid repeated occurences)
	sn=home

	# Start the session and window 0 in /etc
	# This will also be the default cwd for new windows created
	# via a binding unless overridden with default-path.
	cd /etc
	tmux new-session -s "$sn" -n etc -d
`:bowtie:`	😄 `:smile:`	😆 `:laughing:`
😊 `:blush:`	😃 `:smiley:`	☺️ `:relaxed:`
😏 `:smirk:`	😍 `:heart_eyes:`	😘 `:kissing_heart:`
😚 `:kissing_closed_eyes:`	😳 `:flushed:`	😌 `:relieved:`
😆 `:satisfied:`	😁 `:grin:`	😉 `:wink:`
😜 `:stuck_out_tongue_winking_eye:`	😝 `:stuck_out_tongue_closed_eyes:`	😀 `:grinning:`
😗 `:kissing:`	😙 `:kissing_smiling_eyes:`	😛 `:stuck_out_tongue:`
	<?xml version="1.0" encoding="UTF-8"?>
	<!DOCTYPE plist PUBLIC "-//Apple Computer//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
	<plist version="1.0">
	<dict>
	<key>name</key>
	<string>Comments</string>
	<key>scope</key>
	<string>source.Uniface</string>
	<key>settings</key>
	<dict>