OpenCV Installation | OpenCV tutorial

Krish Naik · Beginner ·📐 ML Fundamentals ·7y ago
Skills: CV Basics70%

Key Takeaways

Installs OpenCV library in Anaconda and tests its installation

Full Transcript

hello all today I'm going to start a new playlist in computer vision and this particular playlist will be mostly discussing about OpenCV library and we'll be seeing various kind of steps of image processing in OpenCV along with that we will be also trying to integrate with various deep learning machine learning techniques and where we can see that we can do a lot of different kind of applications in terms of real-world case scenarios so again as this is the first lecture with respect to open CV so initially I'll I will just show you how can install the libraries that are actually mutually required so for this we basically use OpenCV library in order to open OpenCV library now currently we have open C III you just if you have an anaconda in one just go and type it it down as open see with wheels on Condor so as soon as this you install it we'll get the first link just click this first link you will get the command that is this one which is nothing but Conda and store - C Condor Forge you can see just go and open you anaconda prompt and you know oh and paste this command over here so once you paste this command so we copy this whole command if you want to open your anaconda prompt go here click on a counter prompt and just paste it after you paste it this will probably take you around five to ten minutes to install because this library is actually responsible which we will be doing different kind of image processing and we will also be doing with this kind of video cross well this library has you know played a wonderful role in this current days it is developing such a great so you'll be seeing a lot of stuffs as we cove and discussed in our upcoming videos so currently in order to begin with just going down with this particular library after you install this suppose if you want to install it by what do you have to do is that you just have to be produced for you have to just use another command that is PIP install if install OpenCV contract python okay okay this and go to you anaconda from tuna remove all these things this is not required and just install it with the help of but this will also help you to install the open sea so after you install it it will take around five to ten minutes time in order to test whether it has imported correctly this is go and execute this command that is open CVT yeah it's executed perfectly you can see that I have my open sea now if I do want to show you an example I'm trying to read this particular elephant image with the help of hook and you see this this is the image that we want to display it again I'll show you I'll discuss this in my next video how this basically the first video is all about you know how to read a particular image how to display a particular image and how to output the image in some different format so yes if you have not subscribed gates please to subscribe my channel and please share with your friends to come up with the next video I will be starting this open see you plainest thank you one and all happy learning

Original Description

Hello everyone. Welcome to the OpenCV Tutorial. Here is a detailed description of how to install opencv3 in Anaconda and how to test if it installed fine. Follow me on facebook: https://www.facebook.com/Machine-Learning-And-AI-1044537319033065 Below are the other playlist Machine learning: https://goo.gl/XhHdCd Deep Learning : https://goo.gl/iwek57 Statistics in ML :https://goo.gl/x7mkUH Feature Engineering:https://goo.gl/6wiaGt Data Preprocessing Techniques: https://goo.gl/YfC9Kc
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Playlist

Uploads from Krish Naik · Krish Naik · 15 of 60

1 Natural Language Processing|Stemming
Natural Language Processing|Stemming
Krish Naik
2 Natural Language Processing|BagofWords
Natural Language Processing|BagofWords
Krish Naik
3 Gaussian distribution or Normal Distribution in statisctics
Gaussian distribution or Normal Distribution in statisctics
Krish Naik
4 Natural Language Processing|TF-IDF for Machine Learning| Text Prerocessing
Natural Language Processing|TF-IDF for Machine Learning| Text Prerocessing
Krish Naik
5 Log Normal Distribution in Statistics
Log Normal Distribution in Statistics
Krish Naik
6 Covariance in Statistics
Covariance in Statistics
Krish Naik
7 Confusion matrix, Precision, Recall| Data Science Interview questions
Confusion matrix, Precision, Recall| Data Science Interview questions
Krish Naik
8 Tutorial 44-Balanced vs Imbalanced Dataset and how to handle Imbalanced Dataset
Tutorial 44-Balanced vs Imbalanced Dataset and how to handle Imbalanced Dataset
Krish Naik
9 Implementing a Spam classifier in python| Natural Language Processing
Implementing a Spam classifier in python| Natural Language Processing
Krish Naik
10 Tutorial 11-Exploratory Data Analysis(EDA) of Titanic dataset
Tutorial 11-Exploratory Data Analysis(EDA) of Titanic dataset
Krish Naik
11 Face Recognition using open CV and VGG 16 Transfer Learning
Face Recognition using open CV and VGG 16 Transfer Learning
Krish Naik
12 Pedestrian Detection using OpenCV from Videos
Pedestrian Detection using OpenCV from Videos
Krish Naik
13 Face and Eye Detection from Videos using HAAR Cascade Classifier
Face and Eye Detection from Videos using HAAR Cascade Classifier
Krish Naik
14 Reading, Writing and Displaying images with Opencv| OpenCV Tutorial
Reading, Writing and Displaying images with Opencv| OpenCV Tutorial
Krish Naik
OpenCV Installation | OpenCV tutorial
OpenCV Installation | OpenCV tutorial
Krish Naik
16 Face and Eye Detection from Images using HAAR Cascade Classifier
Face and Eye Detection from Images using HAAR Cascade Classifier
Krish Naik
17 Car Detection using HAAR Cascade and Opencv from Videos.
Car Detection using HAAR Cascade and Opencv from Videos.
Krish Naik
18 Using OpenFace for Face recognition in Keras
Using OpenFace for Face recognition in Keras
Krish Naik
19 OpenPose Tutorial with Tensorflow
OpenPose Tutorial with Tensorflow
Krish Naik
20 Multiple Linear Regression using python and sklearn
Multiple Linear Regression using python and sklearn
Krish Naik
21 Dimensional Reduction| Principal Component Analysis
Dimensional Reduction| Principal Component Analysis
Krish Naik
22 Movie Recommender System using Python
Movie Recommender System using Python
Krish Naik
23 TPR,FPR,FNR,TNR, Confusion Matrix
TPR,FPR,FNR,TNR, Confusion Matrix
Krish Naik
24 Precision, Recall and F1-Score
Precision, Recall and F1-Score
Krish Naik
25 Artificial Neural Network for Customer's Exit Prediction from Bank
Artificial Neural Network for Customer's Exit Prediction from Bank
Krish Naik
26 GridSearchCV- Select the best hyperparameter for any Classification Model
GridSearchCV- Select the best hyperparameter for any Classification Model
Krish Naik
27 RandomizedSearchCV- Select the best hyperparameter for any Classification Model
RandomizedSearchCV- Select the best hyperparameter for any Classification Model
Krish Naik
28 K Nearest Neighbor classification with Intuition and practical solution
K Nearest Neighbor classification with Intuition and practical solution
Krish Naik
29 K Means Clustering Intuition
K Means Clustering Intuition
Krish Naik
30 Create custom Alexa Skill- Lambda function- Part2
Create custom Alexa Skill- Lambda function- Part2
Krish Naik
31 Hierarchical Clustering intuition
Hierarchical Clustering intuition
Krish Naik
32 Implement Transfer Learning with a generic Code Template
Implement Transfer Learning with a generic Code Template
Krish Naik
33 Gender Classifier and Age Estimator using Resnet Convolution Neural Network
Gender Classifier and Age Estimator using Resnet Convolution Neural Network
Krish Naik
34 Unlock Your Application With Your Face using OpenCV
Unlock Your Application With Your Face using OpenCV
Krish Naik
35 Draw rectangle from webcam and sketch process it on a live feed
Draw rectangle from webcam and sketch process it on a live feed
Krish Naik
36 Complete Life Cycle of a Data Science Project
Complete Life Cycle of a Data Science Project
Krish Naik
37 How we can apply Machine Learning in Finance
How we can apply Machine Learning in Finance
Krish Naik
38 Deep Learning in Medical Science
Deep Learning in Medical Science
Krish Naik
39 How to switch your career to Data Science.
How to switch your career to Data Science.
Krish Naik
40 Linear Regression Mathematical Intuition
Linear Regression Mathematical Intuition
Krish Naik
41 Handle Categorical features using Python
Handle Categorical features using Python
Krish Naik
42 Machine Learning Algorithm- Which one to choose for your Problem?
Machine Learning Algorithm- Which one to choose for your Problem?
Krish Naik
43 DBSCAN Clustering Easily Explained with Implementation
DBSCAN Clustering Easily Explained with Implementation
Krish Naik
44 Curse of Dimensionality Easily explained| Machine Learning
Curse of Dimensionality Easily explained| Machine Learning
Krish Naik
45 Feature Selection Techniques Easily Explained | Machine Learning
Feature Selection Techniques Easily Explained | Machine Learning
Krish Naik
46 Tutorial 29-R square and Adjusted R square Clearly Explained| Machine Learning
Tutorial 29-R square and Adjusted R square Clearly Explained| Machine Learning
Krish Naik
47 Cross Validation using sklearn and python | Machine Learning
Cross Validation using sklearn and python | Machine Learning
Krish Naik
48 Handling Missing Data Easily Explained| Machine Learning
Handling Missing Data Easily Explained| Machine Learning
Krish Naik
49 Deploy Machine Learning Model using Flask
Deploy Machine Learning Model using Flask
Krish Naik
50 Deployment of Deep Learning Model using Flask
Deployment of Deep Learning Model using Flask
Krish Naik
51 How to Visualize Multiple Linear Regression in python
How to Visualize Multiple Linear Regression in python
Krish Naik
52 K Nearest Neighbour Easily Explained with Implementation
K Nearest Neighbour Easily Explained with Implementation
Krish Naik
53 Predicting Heart Disease using Machine Learning
Predicting Heart Disease using Machine Learning
Krish Naik
54 Predicting Lungs Disease using Deep Learning
Predicting Lungs Disease using Deep Learning
Krish Naik
55 Stock Sentiment Analysis using News Headlines
Stock Sentiment Analysis using News Headlines
Krish Naik
56 Random Forest(Bootstrap Aggregation) Easily Explained
Random Forest(Bootstrap Aggregation) Easily Explained
Krish Naik
57 Voting Classifier(Hard Voting and Soft Voting Classifier)
Voting Classifier(Hard Voting and Soft Voting Classifier)
Krish Naik
58 Credit Card Fraud Detection using Machine Learning from Kaggle
Credit Card Fraud Detection using Machine Learning from Kaggle
Krish Naik
59 Hyperparameter Optimization for Xgboost
Hyperparameter Optimization for Xgboost
Krish Naik
60 Tutorial 45-Handling imbalanced Dataset  using python- Part 1
Tutorial 45-Handling imbalanced Dataset using python- Part 1
Krish Naik

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