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 |
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:
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. | |