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.
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 |
| '''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 # |
| 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 |
| 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.
wget https://cmake.org/files/v3.12/cmake-3.12.3.tar.gz
tar zxvf cmake-3.*
Based on this question with some adjustments https://stackoverflow.com/questions/20220270/posting-multipart-form-data-with-apache-bench-ab
You'll need a text file post_data.txt with the following contents: