- open the terminal (Ctrl+R + cmd)
- check Python3 installation:
py --version
- go to official website to learn details: https://pypi.org/project/opencv-python/
- choose the most complete package and run:
py -m pip install opencv-contrib-python
- check installation by entering the Python REPL:
py
- import tha library:
import cv2
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—– BEGIN LICENSE —– | |
Mifeng User | |
Single User License | |
EA7E-1184812 | |
C0DAA9CD 6BE825B5 FF935692 1750523A | |
EDF59D3F A3BD6C96 F8D33866 3F1CCCEA | |
1C25BE4D 25B1C4CC 5110C20E 5246CC42 | |
D232C83B C99CCC42 0E32890C B6CBF018 | |
B1D4C178 2F9DDB16 ABAA74E5 95304BEF | |
9D0CCFA9 8AF8F8E2 1E0A955E 4771A576 |
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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. | |
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:
Download CMake from: https://cmake.org/download/
wget https://cmake.org/files/v3.12/cmake-3.12.3.tar.gz
tar zxvf cmake-3.*
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layer { | |
name: "data" | |
type: "Data" | |
top: "data" | |
top: "label" | |
include { | |
phase: TRAIN | |
} | |
transform_param { | |
mirror: true |
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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. | |
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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 |
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#!/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 # |
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'''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 |
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