#1 Video Converter 4.1.25 serial key or number

In this tutorial, you will learn how to install OpenCV 4 on the Raspberry Pi 4 and Raspbian Buster.

You will learn how to install OpenCV 4 on Raspbian Buster via both:

1. A simple pip-install method (which can be completed in a matter of minutes)
2. Compiling from source (which will take longer but will give you access to the full, optimized install of OpenCV)

To learn more about installing OpenCV 4 on the Raspberry Pi 4 and Raspbian Buster, just keep reading.

2019-11-21 Update: An update has been issued to this blog post due to compatibility issues with OpenCV using the pip install method. Be sure to find the updates via    as you search for “2019-11-21 Update”.

Install OpenCV 4 on Raspberry Pi 4 and Raspbian Buster

In this tutorial, we will install and test OpenCV 4 on Raspbian Buster in five simple, easy-to-follow steps.

If you’ve ever compiled OpenCV from scratch before, you know that the process is especially time-consuming and even painstakingly frustrating if you miss a key step or if you are new to Linux and Bash.

In Q4 2018, a new, faster method for installing OpenCV on the Raspberry Pi (i.e., a pip install) was made possible thanks to the hard work of the following people:

Installing OpenCV via pip is easier than ever. In fact, you can be up and running (Step #1 – Step #4a) in less than 10 minutes.

But what’s the catch?

Using pip to install OpenCV is great, but for some projects (including many educational projects on PyImageSearch.com and in my books/courses) you might want the complete install of OpenCV (which the pip install won’t give you).

Don’t worry, I’ve got you covered in Step #4b below — you’ll learn to use CMake and Make to compile OpenCV 4 on BusterOS from scratch.

Let’s dive in!

Before we begin: Grab your Raspberry Pi 4 and flash BusterOS to your microSD

Let’s review the hardware requirements for this tutorial:

• Raspberry Pi: This tutorial assumes you are using a Raspberry Pi 4B 1GB, 2GB or 4GB hardware.
• Operating system: These instructions only apply to Raspbian Buster.
• 32GB microSD: I recommend the high-quality SanDisk 32GB 98Mb/s cards. Here’s an example on Amazon (however you can purchase them on your favorite online distributor).
• microSD adapter: You’ll need to purchase a microSD to USB adapter so you can flash the memory card from your laptop.

If you don’t already have a Raspberry Pi 4, I highly recommend CanaKits (which are available on Amazon) and directly through Canakit’s website. Most of their kits come with a Raspberry Pi, power adapter, microSD, microSD adapter, heatsinks, and more!

Once you have the hardware ready, you’ll need to flash a fresh copy of the Raspbian Buster operating system to the microSD card.

1. Head on over to the official BusterOS download page (Figure 2), and start your download. I recommend the “Raspbian Buster with Desktop and recommended software”.
2. Download Balena Etcher — software for flashing memory cards. It works on every major OS.
3. Use Etcher to flash BusterOS to your memory card (Figure 3).

After downloading the Raspbian Buster .img file you can flash it to your micro-SD card using Etcher:

After a few minutes the flashing process should be complete — slot the micro-SD card into your Raspberry Pi 4 and then boot.

From there you can move on to the rest of the OpenCV install steps in this guide.

Step #1: Expand filesystem and reclaim space

For the remainder of this tutorial I’ll be making the following assumptions:

1. You are working with a brand new, fresh install of Raspbian Buster (see the previous section to learn how to flash Buster to your microSD).
2. You are comfortable with the command line and Unix environments.
3. You have an SSH or VNC connection established with your Pi. Alternatively, you could use a keyboard + mouse + screen.

Go ahead and insert your microSD into your Raspberry Pi and boot it up with a screen attached.

Once booted, configure your WiFi/ethernet settings to connect to the internet (you’ll need an internet connection to download and install required packages for OpenCV).

From there you can use SSH as I have done, or go ahead and open a terminal.

The first step is to run, and expand your filesystem:

And then select the “7 Advanced Options” menu item:

Followed by selecting “A1 Expand filesystem”:

Once prompted, you should select the first option, “A1 Expand File System”, hit   on your keyboard, arrow down to the “<Finish>” button, and then reboot your Pi — you may be prompted to reboot, but if you aren’t you can execute:

After rebooting, your file system should have been expanded to include all available space on your micro-SD card. You can verify that the disk has been expanded by executing and examining the output:

As you can see, my Raspbian filesystem has been expanded to include all 32GB of the micro-SD card.

However, even with my filesystem expanded, I have already used 15% of my 32GB card.

While it’s not required, I would suggest deleting both Wolfram Engine and LibreOffice to reclaim ~1GB of space on your Raspberry Pi:

Step #2: Install dependencies

The following commands will update and upgrade any existing packages, followed by installing dependencies, I/O libraries, and optimization packages for OpenCV:

The first step is to update and upgrade any existing packages:

We then need to install some developer tools, including CMake, which helps us configure the OpenCV build process:

Next, we need to install some image I/O packages that allow us to load various image file formats from disk. Examples of such file formats include JPEG, PNG, TIFF, etc.:

Just as we need image I/O packages, we also need video I/O packages. These libraries allow us to read various video file formats from disk as well as work directly with video streams:

The OpenCV library comes with a sub-module named which is used to display images to our screen and build basic GUIs. In order to compile the module, we need to install the GTK development library and prerequisites:

Many operations inside of OpenCV (namely matrix operations) can be optimized further by installing a few extra dependencies:

These optimization libraries are especially important for resource-constrained devices such as the Raspberry Pi.

The following pre-requisites are for Step #4a and they certainly won’t hurt for Step #4b either. They are for HDF5 datasets and Qt GUIs:

Lastly, let’s install Python 3 header files so we can compile OpenCV with Python bindings:

If you’re working with a fresh install of the OS, it is possible that these versions of Python are already at the newest version (you’ll see a terminal message stating this).

Step #3: Create your Python virtual environment and install NumPy

We’ll be using Python virtual environments, a best practice when working with Python.

A Python virtual environment is an isolated development/testing/production environment on your system — it is fully sequestered from other environments. Best of all, you can manage the Python packages inside your your virtual environment inside with pip (Python’s package manager).

Of course, there are alternatives for managing virtual environments and packages (namely Anaconda/conda). I’ve used/tried them all, but have settled on pip, virtualenv, and virtualenvwrapper as the preferred tools that I install on all of my systems. If you use the same tools as me, you’ll receive the best support from me.

You can install pip using the following commands:

Let’s install   and   now:

Once both   and   have been installed, open up your   file:

…and append the following lines to the bottom of the file:

Save and exit via  ,  ,  .

From there, reload your   file to apply the changes to your current bash session:

Next, create your Python 3 virtual environment:

Here we are creating a Python virtual environment named   using Python 3. Going forward, I recommend Python 3 with OpenCV 4+.

Note: Python 2.7 will reach end of its life on January 1st, 2020 so I do not recommend using Python 2.7.

You can name the virtual environment whatever you want, but I use   as the standard naming convention here on PyImageSearch.

If you have a Raspberry Pi Camera Module attached to your RPi, you should install the PiCamera API now as well:

Step #4(a or b): Decide if you want the 1-minute quick install or the 2-hour complete install

From here you need to make a decision about the rest of your install. There are two options.

1. Step #4a: pip install OpenCV 4: If you decide to pip install OpenCV, you will be done in a matter of seconds. It is by far the fastest, easiest method to install OpenCV. It is the method I recommend for 90% of people — especially beginners. After this step, you will skip to Step #5 to test your install.
2. Step #4b: Compile OpenCV 4 from source: This method gives you the full install of OpenCV 4. It will take 2-4 hours depending on the processor in your Raspberry Pi.

As stated, I highly encourage you to use the pip instructions. They are faster and will work for 90% of your projects. Additionally, the patented algorithms can only be used for educational purposes (there are plenty of great alternatives to the patented algorithms too).

Step #4a: pip install OpenCV 4

In a matter of seconds, you can pip install OpenCV into the   virtual environment:

2019-11-21 Update: Readers have reported that some versions of OpenCV 4 as installed via pip do not work properly on the Raspberry Pi. You may encounter an `“undefined symbol: __atomic_fetch_add8″` for   error when you   from Python if you do not use the specific version of OpenCV mentioned in the code block above.

If you watch the terminal output of the above screenshot carefully you’ll see that OpenCV 3.4 rather than OpenCV 4 was installed?

What gives?

At the time of this writing, PiWheels has not been updated with pre-complied OpenCV 4 binaries for Raspbian Buster. PiWheels normally lags slightly behind the latest version of OpenCV, likely to ensure compatibility across the major Raspbian releases. Once OpenCV 4 has been released for PiWheels I will update this section.

That’s really all there is to it. You may skip to Step #5 now to test your install.

Step #4b: Compile OpenCV 4 from source

This option installs the full install of OpenCV including patented (“Non-free”) algorithms.

Note: Do not follow Step #4b if you followed Step #4a.

Let’s go ahead and download the OpenCV source code for both the opencv and opencv_contrib repositories, followed by unarchiving them:

For this blog post, we’ll be using OpenCV 4.1.1; however, as newer versions of OpenCV are released you can update the corresponding version numbers.

Increasing your SWAP space

Before you start the compile you must increase your SWAP space. Increasing the SWAP will enable you to compile OpenCV with all four cores of the Raspberry Pi (and without the compile hanging due to memory exhausting).

Go ahead and open up your   file:

…and then edit the   variable:

Notice that I’m increasing the swap from 100MB to 2048MB. This is critical to compiling OpenCV with multiple cores on Raspbian Buster.

2019-11-21 Update: Our testing has shown that a 2048MB swap is most effective to prevent lock-ups while OpenCV compiles.

Save and exit via  ,  ,  .

If you do not increase SWAP it’s very likely that your Pi will hang during the compile.

From there, restart the swap service:

Note: Increasing swap size is a great way to burn out your Raspberry Pi microSD card. Flash-based storage has a limited number of writes you can perform until the card is essentially unable to hold the 1’s and 0’s anymore. We’ll only be enabling large swap for a short period of time, so it’s not a big deal. Regardless, be sure to backup your   file after installing OpenCV + Python just in case your card dies unexpectedly early. You can read more about large swap sizes corrupting memory cards on this page.

Compile and install OpenCV 4 on Raspbian Buster

We’re now ready to compile and install the full, optimized OpenCV library on the Raspberry Pi 4.

Ensure you are in the   virtual environment using the   command:

Then, go ahead and install NumPy (an OpenCV dependency) into the Python virtual environment:

And from there configure your build:

There are four CMake flags I’d like to bring to your attention:

• (1) NEON and (2) VFPv3 optimization flags have been enabled. These lines ensure that you compile the fastest and most optimized OpenCV for the ARM processor on the Raspberry Pi (Lines 7 and 8).
  • Note: The Raspberry Pi Zero W hardware is not compatible with NEON or VFPv3. Be sure to remove Lines 7 and 8 if you are compiling for a Raspberry Pi Zero W.
• (3) Patented “NonFree” algorithms give you the full install of OpenCV (Line 11).
• And by drilling into OpenCV’s source, it was determined that we need the (4)  shared linker flag (Line 12).

I’d like to take a second now to bring awareness to a common pitfall for beginners:

• In the terminal block above, you change directories into  .
• You then create a   directory therein and change directories into it.
• If you try to execute CMake without being in the   directory, CMake will fail. Try running   to see which working directory you are in before running  .

The   command will take about 3-5 minutes to run as it prepares and configures OpenCV for the compile.

When CMake finishes, be sure to inspect the output of CMake under the Python 3 section:

Notice how the  ,  ,  , and   path variables have been properly set. Each of these refers to our   virtual environment.

Now go ahead and scroll up to ensure that the “Non-Free algorithms” are set to be installed:

As you can see, “Non-free algorithms” for OpenCV 4 will be compiled + installed.

Now that we’ve prepared for our OpenCV 4 compilation, it is time to launch the compile process using all four cores:

Running   could take anywhere from 1-4 hours depending on your Raspberry Pi hardware (this tutorial is compatible with the Raspberry Pi 3B, 3B+, and 4). The Raspberry Pi 4 is the fastest at the time of this writing.

Assuming OpenCV compiled without error (as in my screenshot above), you can install your optimized version of OpenCV on your Raspberry Pi:

Reset your SWAP

Don’t forget to go back to your   file and:

1. Reset   to 100MB.
2. Restart the swap service.

Sym-link your OpenCV 4 on the Raspberry Pi

Symbolic links are a way of pointing from one directory to a file or folder elsewhere on your system. For this sub-step, we will sym-link the   bindings into your   virtual environment.

Let’s proceed to create our sym-link. Be sure to use “tab-completion” for all paths below (rather than copying these commands blindly):

Keep in mind that the exact paths may change and you should use “tab-completion”.

Step 5: Testing your OpenCV 4 Raspberry Pi BusterOS install

As a quick sanity check, access the   virtual environment, fire up a Python shell, and try to import the OpenCV library:

Congratulations! You’ve just installed an OpenCV 4 on your Raspberry Pi.

If you are looking for some fun projects to work on with OpenCV 4, be sure to checkout my Raspberry Pi archives.

Frequently Asked Questions (FAQ)

Q: What do I do when I encounter an error related to ?

A: The pip install has been giving readers troubles since OpenCV 4.1.1 (around the November 2019 timeframe). Be sure to install version  :

What’s next?

Ready to put your Raspberry Pi and OpenCV install to work?

My brand new book, Raspberry Pi for Computer Vision, has over 40 Computer Vision and Deep Learning projects for embedded computer vision and Internet of Things (IoT) applications. You can build upon the projects in the book to solve problems around your home, business, and even for your clients. Each of these projects place an emphasis on:

• Learning by doing
• Rolling up your sleeves
• Getting your hands dirty in code and implementation
• Building actual, real-world projects using the Raspberry Pi

A handful of the highlighted projects include:

• Daytime and nighttime wildlife monitoring
• Traffic counting and vehicle speed detection
• Deep Learning classification, object detection, and instance segmentation on resource-constrained devices
• Hand gesture recognition
• Basic robot navigation
• Security applications
• Classroom attendance
• …and many more!

The book also covers deep learning using the Google Coral and Intel Movidius NCS coprocessors along with NVIDIA Jetson Nano board.

If you’re interested in studying Computer Vision and Deep Learning on embedded devices, you won’t find a better book than this one!

Summary

In today’s tutorial, you learned how to install OpenCV 4 on your Raspberry Pi 4 running the Raspbian Buster operating system via two methods:

• A simple pip install (fast and easy)
• Compiling from source (takes longer, but gives you the full OpenCV install/optimizations)

The pip method to install OpenCV 4 is by far the easiest way to install OpenCV (and the method I recommend for 90% of projects). It is especially great for beginners too.

If you need the full install of OpenCV, you must compile from source. Compiling from source ensures that you have the full install including the “contrib” module with patented (“NonFree”) algorithms.

While compiling from source is both (1) more complicated, and (2) more time-consuming, it is currently the only way to access all features of OpenCV.

I hope you enjoyed today’s tutorial!

And if you’re ready to put your RPi and OpenCV install to work, be sure to check out my book, Raspberry Pi for Computer Vision — inside the book you’ll learn how to build practical, real-world Computer Vision and Deep Learning applications on the Raspberry Pi, Google Coral, Movidius NCS, and NVIDIA Jetson Nano.

Be be notified when future tutorials are published on the PyImageSearch blog (and download my free 17-page CV and DL Resource Guide PDF), just enter your email address in the form below!

Join the PyImageSearch Newsletter and Grab My FREE 17-page Resource Guide PDF

Enter your email address below to join the PyImageSearch Newsletter and download my FREE 17-page Resource Guide PDF on Computer Vision, OpenCV, and Deep Learning.

1 Video Converter 4.1 .25 Full Download Crack Serial Keygen Warez Free
View serial key for Avs Video Converter . Download crack or keygen for it. AVS Video Converter v3.4 14. AVS Video Converter v3. 4.1
Serial avs video converter 4.1  - [ Translate this page ] 22 oct. 2005 Meilleures réponses. Serial avs video converter 4.1 - Rechercher je suis a la recherche du keygen pour avs video converter 5.6, www.commentcamarche.net/.../affich-1867207-serial--video-converter-4- 1 - Cached - Similar Keygen for xilisoft video converter 4.1 free keygen at PTF
6 Dec 2010 Download: Avs Video Converter 6.3.1.367 Full Version, 03-Dec-2010, WinX HD Video Converter 4.1 build 2010, App, Keygen , 4
Links to Avs Video Converter 6.3 Crack Keygen found by UploadCity
AVS Video Converter v1.2.0.26 keygen by SSG Cracks [AM] AVS Video Converter v6. 4.1 .416 by THY crack. AVS Video ReMaker v3.1.1.83 by THY crack
AVS Video Converter crack, serial and keygen
30 Sep 2010 1Oct/100AVS Video Converter 7.0.2.452 AVS Video ConverterKeygen ZC Video to PSP Converter 4.1 .5.1771 · Keygen ZC Video to iPhone
KEYGENS.NL - avs video cracks and keygens generated to unlock software
AVS Video Converter v1.2.0.26 keygen by SSG Cracks [AM] AVS Video Converter v6. 4.1 .416 by THY crack. AVS Video Converter v6.4.3.418 by F4CG crack
Emicsoft Video Converter 4.1 .20 Serial Keygen Unlock Crack Codes
Download: Avs Video Converter V. 4.1 Full Version, Includes: Crack Serial Keygen Torrent, Date Added: Today, Downloads Found: 1842.
Avs Video Converter 6.3.1.367 Crack Full Download Serial Keygen
avs keygens and cracks. Crack serial keygen archive on KEYGENS.NL New cracks every day! AVS Video Converter v6.4.1.416 Cracked by TeaM RoCkErS .... AVS Video Converter v2.4.1.93 by Haze AVS Video Converter 4.1 (Serial)
Avs customer support | [crack avs video tools 5.5]
cracks and keygens are available here. We have the largest crack, keygen and serial number data base. AVS Video Converter v2. 4.1 .93 patch by HAZE
Video Converter 4.1 serial number key code crack keygen
avs video keygens and cracks. Crack serial keygen archive on KEYGENS.NL New cracks every day! AVS Video Converter v6.4.1.416 Cracked by TeaM RoCkErS .... AVS Video Remaker v2.4.1.483 by SND AVS Video Converter 4.1 (Serial) AVS.
Avs Video Converter serial number. Keygen , crack and serial key
16 Dec 2010 Download: Avs Video Converter 4.1 Full Version, Downloads Found: 2268, Includes: Crack Serial Keygen , Date Added: Today.
AVS Video Converter 7.0.2.452 keygen crack serial
View serial key for Avs Video Converter . Download crack or keygen for it. AVS Video Converter v3.4 14. AVS Video Converter v3. 4.1
AVS Video Converter v3. 4.1 serial key , crack and keygen
AVS_Video_Converter_6. 4.1 .416_Full_Version.rar, 55.31 MB. http://rapidshare.com/ files/. 9 AVS Video Converter v6.4.4.420 Keygen zip 117.00 kB
KEYGENS.NL - avs video converter cracks and keygens generated to
Keygen for xilisoft video converter 4.1 free keygen software downloads. AVS Video Converter allows you to convert videos between almost any formats.
Avs Video Converter V6. 4.1 .416 Download Serial Crack Keygen
Convert Avs video converter trail version to full software. 2009-10-22 21:01 :08, #1 Video Converter 4.1 .11, 0 %. 2009-10-22 21:01:08, #1 Video Converter
KEYGENS.NL - avs cracks and keygens generated to unlock software
AVS Video Converter v3. 4.1 serial number. Download keygen or crack here as well.
video softwaregospel workoutanal peggingdiaz videoambulance videovideo rkellywalk danceanal sexvideo landscapecamera videovideo tohead givingfree trainingporn freesex freevideo forcepalyback videovideos bowvideo advanced