Updated: September 16th, 2019
Ever since I wrote the first PyImageSearch tutorial on installing OpenCV + Python on the Raspberry Pi B+ back in February 2015 it has been my dream to offer a downloadable, pre-configured Raspbian .img file with OpenCV pre-installed.
Since November 2016 (the original publish date of this post), this dream has been a reality.
I am pleased to announce that the following products ship with my downloadable Raspbian .img files pre-configured and pre-installed:
- Practical Python and OpenCV (Quickstart and Hardcopy Bundles)
- Raspberry Pi for Computer Vision (Hobbyist, Hacker, and Complete Bundles)
There are two files included:
Raspbian3B_4B.img.gz(compatible with RPi 3B, 3B+, 4B [1GB, 2GB, and 4GB models])RaspbianZeroW.img.gz(compatible with Pi Zero W)
All you have to do is download the .img files, flash the appropriate one to your SD card using BalenaEtcher, and boot your Pi.
From there, you’ll have a complete Python + OpenCV development environment at your fingertips, all without the hassle of configuring, compiling, and installing OpenCV.
To learn more about the Raspbian .img files, keep reading.
Raspbian Buster + OpenCV 4 out-of-the-box
I went back to my recent tutorials on installing OpenCV on the Raspberry Pi and computed the amount of time it takes to perform each step.
You know what I found?
Even if you know exactly what you are doing it can take significant time to compile and install OpenCV on your Raspberry Pi:
- Over 55 minutes on the Raspberry Pi 4B
- Over 2.2 hours to compile the Raspberry Pi 3B+.
- Over 14 hours to compile on the Raspberry Pi Zero W
In the past, I’ve emailed a sample of novice readers who successfully installed OpenCV on their Pi and asked how long it took them to complete the compile and installation process.
Perhaps not surprisingly I found the amount of time for novice readers to install OpenCV on their Raspberry Pi 3B+jumped nearly 4x to over 8.7 hours (even longer for the Zero W). I haven’t conducted a similar survey for the Raspberry Pi 4, but my guess is that it would take most people about 4 hours to configure their Raspberry Pi 4.
Clearly, the barrier to entry for many PyImageSearch readers trying to learn OpenCV and computer vision is getting OpenCV itself installed on their Raspberry Pi.
In an effort to help these readers get the most out of their Raspberry Pi, I have decided to release my own personal Raspbian .img files that have OpenCV pre-configured and pre-installed.
By bundling the pre-configured Raspbian .img together with either (1) Practical Python and OpenCV, and/or (2) Raspberry Pi for Computer Vision my goal is to:
- Jumpstart your computer vision education by skipping the tedious process of installing OpenCV + Python on your Raspberry Pi.
- Provide you with a book with the best introduction to the world of computer vision and image processing that you can possibly get.
Of course, I will continue to create, support, and provide help to any PyImageSearch reader who is using the many free tutorials I offer on installing OpenCV + Python on the Raspberry Pi.
Again, this pre-configured Raspbian .img is intended for PyImageSearch readers who want to save time and jumpstart their computer vision education.
If this doesn’t sound like you, no worries, I totally understand — I’ll be still be providing free tutorials to help you get OpenCV up and running on your Raspberry Pi. Just keep in mind that customers of mine receive priority support from me (while you’re on that page be sure to check out my other FAQs).
Raspbian Buster + OpenCV 4 pre-configured and pre-installed
The rest of this document describes how to install and use the Raspbian pre-configured .img file included in your purchase of either:
- Practical Python and OpenCV (Quickstart and Hardcopy Bundles)
- Raspberry Pi for Computer Vision (Hobbyist, Hacker, and Complete Bundles)
At the end of this guide, you’ll also find answers to frequently asked questions regarding the Raspbian + OpenCV .img file. If you have a question that is not covered in FAQ, please send me a message.
Download and unpack the archive
When you receive the link to your purchase, be sure to download the book, code, videos, and Raspbian. Each file is in the form of a .zip. The Raspbian.zip contains the preconfigured images and a README.txt file.
Go ahead and unzip the files using your favorite unarchiving utility (7zip, Keka, etc.). There is no need to extract the included .gz files since we will flash with them directly.
After you unzip Raspbian.zip your folder should look like this:
Write OS image to a 32GB microSD card using BalenaEtcher
This Raspbian .img will work only on 32GB microSD cards. The .imgs are too large for 8GB or 16GB cards. To my knowledge, the Raspberry Pi does not support 64GB+ microSD cards.
I recommend the high quality Sandisk 32GB 98MB/s cards. They are available at Amazon and many online distributors.
To write the pre-configured Raspbian .img to your card simply follow the official Raspberry Pi documentation. The recommended tool is BalenaEtcher (compatible with Mac, Linux, and Windows).
BalenaEtcher can handle compressed files such as .gz (no need to extract the .img.gz before loading into Etcher).
Booting your Pi for the first time
After writing the the Raspbian .img to your card, insert the card into your Pi and boot it up.
The username is pi and the password is raspberry.
On the first boot, your Raspbian filesystem needs to be expanded to fit the SD card.
This means that you have to run raspi-config => Advanced => Expand Filesystem manually.
After the expansion has completed your Pi will reboot and you will be able to use it as normal (the expansion of the filesystem is only necessary on the first boot).
Here is a screenshot of the disk utilization on my Pi after it has been auto-expanded:
Notice that my entire 32GB card is available and 35% is in use.
Default WiFi
By default, your Raspberry Pi will attempt to connect to a network named pyimagesearch with passphrase computervision .
This is useful if you are in a pickle:
- Maybe you just flashed your microSD and you need to get connected quickly.
- Perhaps you aren’t near your typical wireless and you want to hotspot your phone so that your Pi and laptop connect through your phone’s wireless network. Works with iPhone and Android.
- Maybe you forgot your keyboard/mouse/HDMI screen and you need to do everything via SSH and VNC, but you can’t easily connect to your Pi at the moment. Refer to this tutorial about remote development and connectivity with your Raspberry Pi.
We’ve used this method to get connected many times in the field. It is convenient, but it is a security risk. While we do not recommend using this wireless network long term since this password is public (in nearly all deployment applications you should delete the network + password from your Pi), it is a great way to get connected if you just flashed a microSD. We also recommend changing the default password associated with the username of your Raspberry Pi.
Using Python and OpenCV on your Raspberry Pi
In order to gain access to OpenCV 4 (and OpenCV 3) with Python 3 bindings we leverage Python virtual environments. Each Python virtual environment is totally independent from one another ensuring there are no dependency or versioning issues.
In the remainder of this section, I explain (1) what Python virtual environments are and (2) how to access the Python 3 + OpenCV 3/4 environments.
What are Python virtual environments?
At the very core, Python virtual environments allow us to create isolated, independent environments for each of our Python projects. This implies that each project can have its own set of dependencies, regardless of which dependencies another project has.
In the context of OpenCV, this allows us to have one virtual environment for OpenCV 4 and then another virtual environment for OpenCV 3. Furthermore, we can have Intel OpenVINO and Google Coral virtual environments.
For a detailed look at Python virtual environments please refer to this tutorial.
Python 2.7 support is deprecated
On January 1, 2020, Python.org will no longer be updating Python 2.7 (that goes for security updates too). Read Python 2.7’s sunset announcement here.
PyImageSearch officially no longer supports Python 2.7. All future code is Python 3-compatible only.
What virtual environments are on the .imgs?
The Raspberry Pi 3B/3B+/4B .img contains the following environments:
py3cv4: Python 3.7 and OpenCV 4.1.1py3cv3: Python 3.7 and OpenCV 3.4.7openvino: Python 3.7 and OpenCV 4.1.1-openvino (OpenVINO is an Intel deep learning + hardware-optimized toolkit by Intel)coral: Python 3.7 and OpenCV 4.1.1gopigo: Python 3.7 and OpenCV 4.1.1
The Raspberry Pi Zero W .img contains the following environments:
py3cv4: Python 3.7 and OpenCV 4.1.1py3cv3: Python 3.7 and OpenCV 3.4.7
Accessing a virtual environment
There are two ways to access our virtual environments on the Raspbian .imgs.
Option 1: Use the workon command
If, for example, you desire to use the Python 3 + OpenCV 4.1.1 environment simply use the workon command and the environment name:
$ workon py3cv4 (py3cv4) $
Notice that the bash prompt is then preceded with the environment name in parentheses.
Note: The OpenVINO environment requires that you use the Option 2 method below.
Option 2: Use the source command
You can also just use the following command with the start scripts located in your home directory:
$ source ~/start_py3cv4.sh Starting Python 3.7 with OpenCV 4.1.1 bindings... (py3cv4) $
If you use OpenVINO, an additional Intel-provided script will be called automatically via the “start” script:
$ source ~/start_openvino.sh Starting Python 3.7 with OpenCV-OpenVINO 4.1.1 bindings... [setupvars.sh] OpenVINO environment initialized (py3cv4) $
Your terminal will look like similar to this (I’m SSH’ed into my Raspberry Pi from macOS):
Executing code from my books on your Raspberry Pi
There are multiple methods to access the source code for Practical Python and OpenCV or Raspberry Pi for Computer Vision on your Pi. The first is to use Chromium, Raspbian’s built-in web browser to download the .zip archive(s):
Simply download the .zip directly to your Pi.
If the code currently resides on your laptop/desktop, you may also use your favorite SFTP/FTP client and transfer the code from your system to your Pi:
Or you may want to manually write the code on the Pi using the built-in text editor as you follow along with the book:
I would suggest either downloading the book’s source code via web browser or using SFTP/FTP as this also includes the datasets utilized in the book as well. However, manually coding along is a great way to learn and I highly recommend it as well!
For more tips on how to work remotely with your Raspberry Pi, be sure to read my Remote development on the Raspberry Pi blog post.
Frequently Asked Questions (FAQ)
In this section, I detail the answers to frequently asked questions regarding the Raspberry Pi .img file.
Which Raspbian images are compatible with which respective hardware?
Here is the compatibility listing:
Raspbian3B_4B.img.gz:- Raspberry Pi 4B (1GB, 2GB, and 4GB models)
- Raspberry Pi 3B+
- Raspberry Pi 3B
RaspbianZeroW.img.gz:- Raspberry Pi Zero W
What if I want to install OpenCV + Python on my Raspberry Pi by myself?
By all means, I encourage you to do so. It’s a great exercise and you’ll learn a lot about the Linux environment. I would suggest you follow one of my many free tutorials on installing OpenCV + Python your Raspberry Pi.
Again, this pre-configured Raspbian image is intended for readers who want to skip the install process and jumpstart their education.
How long will it take to install Python + OpenCV by hand?
I’ve ran the numbers and even if you know exactly what you are doing it will take a bare minimum of 55 minutes to compile and install OpenCV on a Raspberry Pi 4 and approximately 14 hours on the Raspberry Pi Zero W.
If you have never installed OpenCV before or you are not familiar with Linux-based environments that number can easily jump to many times those numbers based on my survey of novice readers who successfully installed OpenCV on their Raspberry Pi.
In fact, to install everything on the Raspberry Pi Zero W including 2 environments (2 compiles of OpenCV) it took approximately 6 days (including overnight compiles).
It really comes down to how much you value your time and how quickly you want to get started learning computer vision. I always encourage you to use my free tutorials on installing OpenCV on the Raspberry Pi, but if you want to save yourself time (and headaches), then definitely consider going with the pre-configured Raspbian .img.
Which Practical Python and OpenCV bundles is the Raspbian image included in?
The pre-configured Raspbian image is included in both the Quickstart Bundle and Hardcopy Bundle of Practical Python and OpenCV. The pre-configured Raspbian image is not included in the Basic Bundle.
Which Raspberry Pi for Computer Vision bundles is the Raspbian image included in?
The pre-configured Raspbian image is included all bundles: Hobbyist, Hacker, and Complete Bundles.
After installing your distribution of Raspbian, how do I access Python + OpenCV?
See the “Using Python and OpenCV on your Raspberry Pi” section above.
Is Wolfram’s Mathematica included in your Raspbian distribution?
No, I am not legally allowed to distribute a modified version of Raspbian (that is part of a product) with Mathematica installed.
How did you reduce the size of the Raspbian image file?
To start, I removed unneeded software such as Wolfram’s Mathematica and LibreOffice. Removing these two pieces of software alone saved nearly 1GB of space.
From there, the size of the main partition was reduced by zeroing all bits and compressing the file to .gz format.
Which Operating System version of Raspbian is included?
The latest .imgs run Raspbian Buster.
I have your previous StretchOS image. Why won’t the workon command work?
My previous .imgs did not have the virtualenvwrapper settings in the ~/.bashrc (they were placed in ~/.profile ).
Therefore, you need to either (1) copy the virtualenvwrapper settings from ~/.profile to ~/.bashrc , or (2) source the profile first via source ~/.profile.
What Python packages are installed on the Raspberry Pi?
After accessing any virtual environment (see “Accessing a virtual environment”) run pip freeze to see a full list of Python packages installed.
In short, I have included all necessary Python packages you will need to be successful executing the examples in Raspberry Pi for Computer Vision and Practical Python and OpenCV, including OpenCV, NumPy, SciPy, scikit-learn, scikit-image, mahotas, and many others. Click the following image to enlarge it so you can see all the packages:
Where can I learn more about Python virtual environments?
My favorite resource and introduction to Python virtual environments can be found here. I also discuss them in the first half of this blog post.
Where can I purchase a copy of Practical Python and OpenCV?
To purchase your copy of Practical Python and OpenCV, simply click here, select your bundle (I recommend either the Quickstart Bundle or the Hardcopy Bundle), and checkout.
Where can I purchase a copy of Raspberry Pi for Computer Vision?
To purchase your copy of Raspberry Pi for Computer Vision, simply click here, select your bundle (I recommend either the Hacker Bundle or the Complete Bundle if you really want to master the Raspberry Pi), and checkout.
Can I purchase the .img as a standalone product?
The .img files are intended to accompany my books as added benefits. I would recommend purchasing a book to gain access to the .img.
I have another question.
If you have a question not listed in this FAQ, please send me a message.
Sound good?
If you’re ready to put the .img to use on all of the Raspberry Pis you own, just purchase one of my books that come with the .img.
To purchase your copy of Raspberry Pi for Computer Vision, just click here. All bundles come with the pre-configured Raspbian .img files.
Or to purchase your copy of Practical Python and OpenCV, just use this link. You will find the pre-configured Raspbian .img files inside both the Quickstart Bundle and the Hardcopy Bundle (the Basic Bundle does not include the Raspbian .img).
To see all the products I offer, click here.
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Excellent work Adrian, many thanks! I am working with a group of students who are using a USB monochrome camera on a Pi-3; the camera supports 1394 protocol over USB-2 (it’s a Point Grey Chameleon 2), have you any examples using that interface with Python?
Thanks Hugh. I don’t have any examples that directly cover the firewire protocol, but I would instead look to see if the camera is compatible with the
cv2.VideoCapturefunction. If it is, this is by far the easiest way to access frames from a video stream for peripheral cameras.where can i get the image file?
Hi Sachin — the pre-configured Raspbian .img file is part of the Quickstart Bundle and Hardcopy Bundle of my book, Practical Python and OpenCV.
You should make it freely available. Why make is something that user pays for?
The costing is huge for over Half the world population
Dear Adrian thank you for your great explanation. I am about to start rasppery pi and İ find your module very useful. So that raspian.zip file should we buy some kind of course to be able download it cause ı couldnt see a link to do so
Hey Atas — the Raspbian .img file is included in both the Quickstart Bundle and Hardcopy Bundle of Practical Python and OpenCV.
Once you purchase your copy you will be able to download a file named “Raspbian.zip”. Inside this .zip file is your Raspbian .img file.
I was waiting for this for some time. This is really helpful Adrian! I have just finished installing OpenCV on a CHIP computer (9 bucks). Compiling takes even longer (~9 h), so I preferred using apt-get, but I get only Opencv 2.x, which is fine (at least for now).
I wish Chip would have a way to backup and restore, so that I can just flash an *.img file like I can on RPi.
Btw, do you think this img would run on RPi zero also?
Let me boot up my Raspberry Pi Zero and test it out. I will edit this comment as soon as I get the result.
EDIT: Confirmed. I just booted up my Raspberry Pi Zero and confirmed that my Raspbian .img file will work with the Pi Zero as well. I have included a photo as proof here (the terminal is simply demonstrating that Python can import the OpenCV bindings).
where is the download link?
The Raspbian .img file is part of the of the Quickstart Bundle and Hardcopy Bundle of Practical Python and OpenCV. You would need to purchase one of these bundles to download the pre-configured Raspbian + OpenCV .img file.
Have a wonderful time with all your friends and family. You’re an very class act and I look forward to another year!
Thank you Rick, I appreciate that 🙂
Adrian,
How do I rebuild opencv in your new img. I want to rebuild it because of a opencv bug in face.hpp I commented something out, and now I want to rebuild opencv how would I do that?
Aly
If you would like to install compile + install OpenCV again you would need to download the source, make your modifications, and then re-run CMake and make. I would refer to my previous tutorial on installing OpenCV on the Pi for more information.
Note for Windows Users: To use remote desktop, at SSH prompt do:
sudo apt-get install xrdp vnc4server
That will allow Remote Desktop access to the Raspberry Pi desktop
Notice that Mathimatica and Wolfram icons are dead in the menu bar. Were these removed from the build?
Yes, they were removed from the build. Please see the “Is Wolfram’s Mathematica included in your Raspbian distribution?” section of this post for more details.
What default password have you set for the user ‘pi’ in this pre-configured image?
The password is the same default password for all Raspberry Pi machines:
raspberryHi Adrian,
I have been following your blog for quite a while and have created an application which I want to run automatically when my raspberry PI boots.
Do you know if it is possible to get a virtual environment to run on power up?
I have created a script similar to your start_py2cv3.sh ,
source ~/.profile
workon cv
python /home/pi/homesurv.py –conf conf.json
when the python script runs I get an error message along the lines of can’t find cv2 implying that the virtual environment is not running.
If not, I will start with a clean image and install opencv manually, following one of your blogs of course!
cheers
Steve
Absolutely. Take a look at this post on running a Python script on boot.
Hi and thanks for the valuable posts you do.
I’d like to know (probably I just missed it) the raspian version you’ve installed opencv on, is it pixel?
Thanks
Rob
Hey Roberto — you are correct, the Raspbian version that comes with OpenCV pre-installed has PIXEL.
Hi!
What application do you use in mac for SFTP/FTP client?
I normally use Transmit or CyberDuck, but you could just as easily use the command line as well.
sir,i want to ask u
i just copy my sd card which have already rasbian and open cv and paste it into another new memory card and then i want to use that new memory card
is it possible
Hey Alok — I’m not sure I understand what you mean. You have a new memory card and you want to install my pre-configured Raspbian .img file on it?
Hello,
great job in providing this package.
My question: Is this opencv build also good for c and c++ programming? Thanks.
Yes, you can use this same install for C/C++ programming with OpenCV as well.
What is this package from os jessie, python2.7 + opencv3.? For raspberry pi 3? Problem i lost backup? sorry i speak from google translite thank you before
The pre-configured Raspbian .img file runs Raspbian Jessie. It supports Python 2.7 + OpenCV 3 and Python 3 + OpenCV 3.
Adrian,
Does one have to format an SD card that came with the RPi-3 Kit?
The SD card already has NOOBS on it.
Can I just use WIN32DISKIMAGER and write Raspbian.img onto it?
Awaiting your reply before I start on this project
Hi Shirish — yes, you can use Win32DiskImager to flash your Raspbian .img file onto the SD card, exactly like the Raspbian tutorials on the official Raspberry Pi site.
Hello Adrian,
Once I get the Pi running with the Raspbian .img file is it recommended to do a “sudo apt-get update & “sudo apt-get upgrade” ?
Yes, it’s best to ensure that your packages are updated.
Hello Adrian ! great content and tutorials thank you for your efforts in making things easier 🙂
I have purchased the Quickstart Bundle and it has awesome content, but just when I’m trying to run the module for any of the codes I receive
File “/home/pi/Desktop/code/color_tracking/track.py”, line 8, in
import cv2
ImportError: No module named cv2
how can i fix it ?
thank you in advance ! ::)
Hey Bashir — thank you for picking up a copy of Practical Python and OpenCV! I assume you using my pre-configured Raspbian .img file? If so, pelase see the “Accessing the Python 2.7 + OpenCV 3 environment” or “Accessing the Python 3 + OpenCV 3 environment” section of this post. I think you are likely forgetting the “workon” and/our “source” commands. I hope that helps!
Does the preconfigured image that you are currently distributing included the optimization’s from your “Optimizing OpenCV on the Raspberry Pi” post?
Yes, along with a few additional libraries such as dlib as well.
I downloaded the pre-installed ISO with opencv and python, I have raspberry zero, but it just looked like a screen with colors, it does not boot.
Hey Bruce — was this for the Raspberry Pi Zero or the Pi Zero W?
when am update firmware raspberry stopped booting ,its shows red light only
Hey Amar — it sounds like for whatever reason the firmware update hurt your install. I would suggest re-flashing your Raspbian .img file to your SD card and booting.
Hi
How can I get your pre-configured Raspbian .img file
Thank you alot
Hey Ahmad — the Raspbian .img file is included in the Quickstart Bundle and Hardcopy Bundle of my book, Practical Python and OpenCV.
I purchased the Quickstart Bundle with the Raspbian .img file. I’d like to add files to the py3cv3 virtual environment within the included Raspbian image. Could you specify its location from the root directory?
Hey Craig — can you clarify what you mean by “add files”? Are you talking about pip-installable packages? Or special Python packages you are coding on your own machine?
I’m having issues loggign in. When I type in pi for the suername and raspberry for the password it says my login is incorrect.
Hey Houman — are you using a US/English keyboard layout? If not, make sure you update your keyboard mapping. The password is indeed
raspberryi can’t login to the pi. Username pi and password raspberry not working. using english us format
The Raspbian OS assumes you are using an English keyboard layout (I also had to use the English keyboard layout to setup the Pi). You can change the keyboard layout using these instructions. Could you switch your keyboard to an English layout just to login and then switch it to whatever layout you need?
at first i failed to login to pi user.
to go to root, only need to sudo
to hv new passwd:
-open Terminal (with your mouse)
-type: sudo su – (you are root now)
-type: passwd pi (to change to a new passwd )
* now if you want, u can set to login without X-windows.
Hi Adrian,
I see the post is from 2016 and the link that brought me here is from your product update email for the upcoming “RPi for CV” book (2019). With this time diff in mind I’ve got a couple of quick questions:
1. Are versions of cv2 and tf included in the .img file (linked in the email under “View Purchase Online” link) up-to-date (i.e. OpenCV v4 and tf 1.12+) ?
2. Has the .img been tested on the new RPi4?
3. Are packages for Coral included too?
Best,
Tom
Hey Tom — while this post was originally published in 2016 I keep it updated with the latest guides and instructions. The .img file here includes both OpenCV 3 and OpenCV 4. A new .img file will be released later this year with Coral support as well!
I’m assuming the 3B code will run on the Pi 4. Is this correct?
Yes, you are 100% correct. The code works on a RPi 4.
Does this image have the facetracking and servo control on it ?
No, because we don’t want to make the assumption/force you to use specific hardware. We do provide our recommended hardware and instructions on how to install the supporting libraries inside Raspberry Pi for Computer Vision.
Hey Adrian
This is more of an FYI I believe unless you are already aware. So mind you, I have never messed with the Raspberry PI so please take this with a grain of salt. I have recently been asked to look into doing some computer vision on the Raspberry Pi and thought this was an awesome time to try out the image you provided. I put in an order for a Raspberry Pi 4B and received it recently and today I thought I would try to perform the load. I went through the process of flashing it, only to have it not boot. I reformatted and tried again and again got a flicker of the green light and the red light stayed on permanently.
So I took to Google and found the following “sticky” in their forum that seems to be what’s happening here. Mind you, I did try to boot with nothing connected and no sdcard and I get the flashing 4 green lights which suggests the bootloader is fine. So it seems that the new Raspberry Pi 4B cards will not work with older versions.
Thought you might find it of interest, or perhaps you already were aware and I just missed it. Going to go about just performing the install the standard way. It seems the default NOOBS approach is already atleast booting.
Sorry I meant to post the forum link for further reading: https://www.raspberrypi.org/forums/viewtopic.php?f=28&t=58151
Hey Daniel, thanks for the comment. And just to clarify, the Raspberry Pi .img file that was released yesterday fully supports the RPi 4, Raspbian Buster, and OpenCV 4.
Hi
Please note – in order to install the latest image, I had to use a 64Gb uSD – and not the zip package (which Etcher lets you do) – but the actual *.img file.
Just thought you should know – to avoid the frustrations I had earlier today
Phil
Thanks for sharing, Phil.
What model micro-SD card are you using? Are you using a cheaper Kingston card? I’ve seen a few readers run into flashing issues if they are using a cheaper card. Try using the SanDisk cards recommended in this guide.
Adrian,
Loving the new bundle! I saw above that you update the image, but is there a version control or something similar to tell what version I have installed if I use it? I have some cards with earlier images, and some with later, and want to be able to know which version I have for the forum.
I do keep everything apt update, so that may impact it.
I would also love to be able to tell when you have updated the image.
2 lazy-newb requests. It would be awesome if you preinstalled the actual example software, and pre-customized the hostname that shows up i.e RPiForCVvX.
Keep up the great work, and I think I have to buy the third bundle when I finish working through Hacker!
Thanks Bob, I’m glad you’re enjoying them! There isn’t a version control yet, but in the next release we’ll include a “version.txt” file which indicates the version.
As for the actual example software, I’ve considered doing that, but ultimately decided against it, the main reason being it would dramatically inflate the .img file. It’s already large enough as is and I don’t want the download to break for readers with slower/loss reliable internet connections.
I bought the book Practical Python and OpenCV 2-3 years ago and it only has raspian.img, can i have a link to download the news images please
Thank you for picking up a copy of Practical Python and OpenCV, Jesus. The .img file is your pre-configured Raspbian .img file. Feel free to send me an email or use my contact form if you have further questions regarding your purchase.