skoqaq

—– BEGIN LICENSE —–
Mifeng User
Single User License
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demid5111

Install OpenCV 4.5 on Windows 10

Pre-configured OpenCV for Python from PyPi

1. open the terminal (Ctrl+R + cmd)
2. check Python3 installation: py --version
3. go to official website to learn details: https://pypi.org/project/opencv-python/
4. choose the most complete package and run: py -m pip install opencv-contrib-python
5. check installation by entering the Python REPL: py
6. import tha library: import cv2

Digital2Slave

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.
    

chiller

Benchmarking file uploads

Based on this question with some adjustments https://stackoverflow.com/questions/20220270/posting-multipart-form-data-with-apache-bench-ab

Constructing the post payload

You'll need a text file post_data.txt with the following contents:

1duo

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.*

dudu159632

layer {
  name: "data"
  type: "Data"
  top: "data"
  top: "label"
  include {
    phase: TRAIN
  }
  transform_param {
    mirror: true

soply

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.
    

jarutis

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

arthurbeggs

#!/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     #

fchollet

'''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