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@henrik
henrik / ocr.markdown
Created March 3, 2012 17:07
OCR on OS X with tesseract

Install ImageMagick for image conversion:

brew install imagemagick

Install tesseract for OCR:

brew install tesseract --all-languages

Or install without --all-languages and install them manually as needed.

git config --global https.proxy http://127.0.0.1:1080
git config --global https.proxy https://127.0.0.1:1080
git config --global --unset http.proxy
git config --global --unset https.proxy
npm config delete proxy
@fchollet
fchollet / classifier_from_little_data_script_1.py
Last active February 18, 2026 04:59
Updated to the Keras 2.0 API.
'''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
#!/bin/bash
################################################################################
### OpenCV2 Installation Script ###
################################################################################
# Source code at https://github.com/arthurbeggs/scripts #
################################################################################
# #
# Feel free to copy and modify this file. Giving me credit for it is your #
# choice, but please keep references to other people's work, which I don't #
@jarutis
jarutis / tf_serving.sh
Created October 24, 2016 18:37
Install Tensorflow Serving on Centos 7 (CPU)
sudo su
# Java
yum -y install java-1.8.0-openjdk-devel
# Build Esentials (minimal)
yum -y install gcc gcc-c++ kernel-devel make automake autoconf swig git unzip libtool binutils
# Extra Packages for Enterprise Linux (EPEL) (for pip, zeromq3)
yum -y install epel-release
@soply
soply / disp_multiple_images.py
Last active November 22, 2024 04:48
Plot multiple images with matplotlib in a single figure. Titles can be given optionally as second argument.
import matplotlib.pyplot as plt
import numpy as np
def show_images(images, cols = 1, titles = None):
"""Display a list of images in a single figure with matplotlib.
Parameters
---------
images: List of np.arrays compatible with plt.imshow.
layer {
name: "data"
type: "Data"
top: "data"
top: "label"
include {
phase: TRAIN
}
transform_param {
mirror: true

FWIW: I (@rondy) am not the creator of the content shared here, which is an excerpt from Edmond Lau's book. I simply copied and pasted it from another location and saved it as a personal note, before it gained popularity on news.ycombinator.com. Unfortunately, I cannot recall the exact origin of the original source, nor was I able to find the author's name, so I am can't provide the appropriate credits.


Effective Engineer - Notes

What's an Effective Engineer?

@1duo
1duo / centos.install.cmake.from.source.md
Last active January 27, 2026 14:20
Install CMake on CentOS 7.

Download CMake from: https://cmake.org/download/

wget https://cmake.org/files/v3.12/cmake-3.12.3.tar.gz

Compile from source and install

tar zxvf cmake-3.*
@chiller
chiller / Readme.md
Last active June 11, 2023 11:04
ab benchmark file upload