For symmetic encryption, you can use the following:
To encrypt:
openssl aes-256-cbc -salt -a -e -in plaintext.txt -out encrypted.txt
To decrypt:
// http://stackoverflow.com/questions/7789826/adb-shell-input-events | |
0 --> "KEYCODE_0" | |
1 --> "KEYCODE_SOFT_LEFT" | |
2 --> "KEYCODE_SOFT_RIGHT" | |
3 --> "KEYCODE_HOME" | |
4 --> "KEYCODE_BACK" | |
5 --> "KEYCODE_CALL" | |
6 --> "KEYCODE_ENDCALL" | |
7 --> "KEYCODE_0" |
#! /usr/bin/env python3 | |
"""Fixing bluetooth stereo headphone/headset problem in debian distros. | |
Workaround for bug: https://bugs.launchpad.net/ubuntu/+source/indicator-sound/+bug/1577197 | |
Run it with python3.5 or higher after pairing/connecting the bluetooth stereo headphone. | |
This will be only fixes the bluez5 problem mentioned above . | |
Licence: Freeware |
At some point you’ll find yourself in a situation where you need edit a commit message. That commit might already be pushed or not, be the most recent or burried below 10 other commits, but fear not, git has your back 🙂.
git commit --amend
This will open your $EDITOR
and let you change the message. Continue with your usual git push origin master
.
'''This script goes along the blog post | |
"Building powerful image classification models using very little data" | |
from blog.keras.io. | |
It uses data that can be downloaded at: | |
https://www.kaggle.com/c/dogs-vs-cats/data | |
In our setup, we: | |
- created a data/ folder | |
- created train/ and validation/ subfolders inside data/ | |
- created cats/ and dogs/ subfolders inside train/ and validation/ | |
- put the cat pictures index 0-999 in data/train/cats |
'''This script goes along the blog post | |
"Building powerful image classification models using very little data" | |
from blog.keras.io. | |
It uses data that can be downloaded at: | |
https://www.kaggle.com/c/dogs-vs-cats/data | |
In our setup, we: | |
- created a data/ folder | |
- created train/ and validation/ subfolders inside data/ | |
- created cats/ and dogs/ subfolders inside train/ and validation/ | |
- put the cat pictures index 0-999 in data/train/cats |
'''This script goes along the blog post | |
"Building powerful image classification models using very little data" | |
from blog.keras.io. | |
It uses data that can be downloaded at: | |
https://www.kaggle.com/c/dogs-vs-cats/data | |
In our setup, we: | |
- created a data/ folder | |
- created train/ and validation/ subfolders inside data/ | |
- created cats/ and dogs/ subfolders inside train/ and validation/ | |
- put the cat pictures index 0-999 in data/train/cats |
Code for Keras plays catch blog post
python qlearn.py
This tutorial will turn your Raspberry PI into a simple Bluetooth audio receiver, which plays music through connected speakers. It's like a regular car audio system, but it can be used anywhere and it's a good value.
Audio source (i.e. smartphone)
|
v
((( Wireless Bluetooth Channel )))
|