abhitronix / opencv_raspberry_pi_tbb

Latest pre-compiled binary of Pre-released & Stable OpenCV (4.0.0) along with TBB (2018-Update 6) for Raspberry Pi.

Latest pre-compiled binary of Pre-released & Stable OpenCV (4.0.0) along with TBB (2018-Update 6) for the Raspberry Pi (Tested on Rpi version 2/3 Model B/B+ with Stretch)

Head over to https://github.com/abhiTronix/TBB_Raspberry_pi for TBB installation.

OpenCV [TBB + VFVP3 + NEON] (Update: December, 2018): Unleashed The Power of Multi-Threading in OpenCV 🔥🔥

Inspiration from amazing tutorial from Adrian (https://www.pyimagesearch.com/2017/10/09/optimizing-opencv-on-the-raspberry-pi/)

Inside this tutorial, there are three possible ways of optimizing OpenCV:

1. NEON
2. VFPV3
3. Threading Building Blocks©️ (TBB)

TBB is already successfully installed on my Rpi and made available precompiled here . Hence i created this Latest pre-compiled set of binary: Pre-released & Stable OpenCV (4.0.0) compiled along with Latest (2018 Update 6) of TBB for the Raspberry Pi. It is made available in a ".deb" package and will save you countless hours not having to compile it yourself plus avoid worst looking compiling errors. This may or may not stay updated as I have to manually compile this version. I will try to make available most major versions. This is compiled for Raspberry Pi 3/2 Model B/B+(compatible with both python2/python3 versions) running Latest raspbian Stretch. This is enabled with TBB Support which helps multithreading in many OpenCV algorithms and significant 3x~5x increase in performance along with 'NEON' and 'VFVP3' support and other major compilation flags without any whatsoever change in your program. For Files Look Down below.

TBB ( Intel(R) Threading Building Blocks )

TBB is a library that helps you leverage multi-core processor performance without having to be a threading expert. It represents a higher-level, task-based parallelism that abstracts platform details and threading mechanism for performance and scalability. More info. at https://www.threadingbuildingblocks.org/

Proof:

1. OpenCV (version: 4.0.0 pre) successfully compiled with TBB (version: 2018 - Update 4)] on Python 2.7.13/3.6.0 on my Raspberry Pi 3B.

2. OpenCV(version: 4.0.0 pre/dev [TBB + VFVP3 + NEON] Supported) Files on my machine.

3. OpenCV (version: 4.0.0 pre) along with 'NEON' and 'VFVP3' Support enabled(Demo-file Output).

Installation Instructions :(5~10sec)

(Tested on Raspberry pi 3 with Raspbian Stretch [Latest])

Simple (but straight forward):

sudo dpkg -i <path to *.deb file[e.g OpenCV_release_fp_tbb_armhf.deb]>
sudo ldconfig

Files📂:

Tryout Demo OpenCV(No TBB Supported) .deb file is available here: opencv_4.0.0-pre-demo_armhf.deb (Refer Wiki & #1 first)

But if you want the latest & max optimized OpenCV([TBB + VFVP3 + NEON] Fully Supported) precompiled .deb files with installation support associated, it is only provided through email ([email protected]). Also consider supporting my countless hours of hardwork and helping me out by making small Donation for my ongoing Independent A.I. Research in return. Thankyou

Huge thanks to:

https://www.pyimagesearch.com/2017/10/09/optimizing-opencv-on-the-raspberry-pi/ & https://www.theimpossiblecode.com/blog/build-faster-opencv-raspberry-pi3/ for guiding me through.
https://github.com/opencv for Latest OpenCV binaries.
https://github.com/01org/tbb for TBB binaries.

opencv_raspberry_pi_tbb's Issues

TBB+NEON+VFVP3 vs NEON+VFVP3

Hey abhi i finally managed to install neon on an older version of opencv

i would like to ask you if you have measured the performance difference with and without TBB? also i saw in your youtube channel that you have installed OPENCL for the gpu , is it really usable?

Compile flags

Which compile flags were used for opencv build?

OpenCV_Raspberry_pi_TBB For Python3

Hi @abhiTronix Thanks to share the great project
I am Installing optimized opencv for python3.7.3
sudo dpkg -i opencv_4.0.0-pre-demo_armhf.deb

but it's working with python2.7 not for python3.7.3
I am also trying to create link but failled
i.e
sudo ln -sv /usr/local/lib/python2.7/dist-packages/cv2/python-2.7/cv2.so
Kindly suggest me to changes to resolve this issue.
Thanks

libtesseract.so.4 not found error in demo file

Solution:

install Leptonica(install from source)

wget http://www.leptonica.com/source/leptonica-1.76.0.tar.gz
tar xvf leptonica-1.76.0.tar.gz
cd leptonica-1.76.0/
./configure
make -j2
sudo make install
sudo ldconfig

then

install Tesseract(install from source)

wget https://github.com/tesseract-ocr/tesseract/archive/4.0.0.zip -O tesseract-4.0.0.zip
unzip tesseract-4.0.0.zip && mv tesseract-4.0.0 tesseract
cd tesseract
./autogen.sh
./configure
make -j2
sudo make install
sudo ldconfig

Problem Solved 👍

I think I installed everything correctly in Raspberry Pi Stretch

Python 2.7.13 (default, Sep 26 2018, 18:42:22)
[GCC 6.3.0 20170516] on linux2
Type "help", "copyright", "credits" or "license" for more information.

import cv2
Traceback (most recent call last):
File "", line 1, in
ImportError: libtesseract.so.4: cannot open shared object file: No such file or directory

are you still providing link to full image?

Hi,
Are you still responding to email requests for the full image? [email protected]