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How to install dlib in Python 3 in less than 5 mins - a step-by-step process #python
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By watching this video, you will learn how to install DLIB library in Python 3 in less than 5 mins on MacOS.
This video will teach how to create a python project folder first then a python virtual environment within it, activate the python virtual environment, and then pip install the dlib library within it.
dlib is a toolkit for making real-world machine learning and data analysis applications.
Dlib is one of the most powerful and easy-to-go open-source library consisting of machine learning library/algorithms and various tools for creating software.
Dlib is mostly used for face recognition purposes. They analyzed the object/face using the functions called HOG (Histogram of oriented gradients) and CNN (Convolutional Neural Networks)
[For Windows users]
(create virtual environment)
virtualenv myenv
(activate virtual environment)
myenv\Scripts\activate
We will first check if we were able to successfully install dlib using the pip list command by running it in the virtual environment.
Finally, we will programmatically test the successful installation of the dlib library in the python project by printing its version.
You can extrapolate these techniques to install other packages in your python project by creating a virtual environment too.
Make sure that before you instal dlib library you have cmake installed and it would be better to have wheels installed as well.
If you don't have the latest python installed on your Mac then you can watch this video -
How to install Pycharm on MacOS Catalina or Big Sur
If you haven't subscribed on my channel yet then do hit the subscribe button as well as the bell icon as that way you won't miss out on these instructional videos I create for you.
Also watch,
How to install flask on MacOS
How to install pip on macOS
How to install Pycharm on MacOS Catalina or Big Sur
Watch more videos from Joey'sTech on dynamic programming
Arithmetic Slices
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Best Time to buy and sell stock
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Make sure you subscribe to my channel Joey'sTech so that you don't miss out on any instructional videos I make.
This video will teach how to create a python project folder first then a python virtual environment within it, activate the python virtual environment, and then pip install the dlib library within it.
dlib is a toolkit for making real-world machine learning and data analysis applications.
Dlib is one of the most powerful and easy-to-go open-source library consisting of machine learning library/algorithms and various tools for creating software.
Dlib is mostly used for face recognition purposes. They analyzed the object/face using the functions called HOG (Histogram of oriented gradients) and CNN (Convolutional Neural Networks)
[For Windows users]
(create virtual environment)
virtualenv myenv
(activate virtual environment)
myenv\Scripts\activate
We will first check if we were able to successfully install dlib using the pip list command by running it in the virtual environment.
Finally, we will programmatically test the successful installation of the dlib library in the python project by printing its version.
You can extrapolate these techniques to install other packages in your python project by creating a virtual environment too.
Make sure that before you instal dlib library you have cmake installed and it would be better to have wheels installed as well.
If you don't have the latest python installed on your Mac then you can watch this video -
How to install Pycharm on MacOS Catalina or Big Sur
If you haven't subscribed on my channel yet then do hit the subscribe button as well as the bell icon as that way you won't miss out on these instructional videos I create for you.
Also watch,
How to install flask on MacOS
How to install pip on macOS
How to install Pycharm on MacOS Catalina or Big Sur
Watch more videos from Joey'sTech on dynamic programming
Arithmetic Slices
Is Subsequence
Best Time to buy and sell stock
Stone Game
Make sure you subscribe to my channel Joey'sTech so that you don't miss out on any instructional videos I make.
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