VirtualGimbal
The VirtualGimbal is an electronic stabilize device for videos that were taken by a hand-held camera such as a DSLR. For more information, see [PetaPixel] ( https://petapixel.com/2016/08/11/sd-card-built-gyro-sensor-stabilize-shots/ "PetaPixel"). The VirtualGimbal consists of an SD card and post-processing software. This repository releases the post-processing software, a SD card circuit and a SD card firmware.
Demo
Features
1.Post-processing video stabilization software on PC.
2.4K video available.
3.Stabilization completely based on captured angular velocity data.
Requirement
Ubuntu 18.04 or later FFMPEG, OpenCV3, Eigen, boost and some python libraries.
Usage
See post_processing_software/README.md
Download Example Video, put in ~/vgdataset. Download Angular Velocity data and put it in virtualGimbal/post_processing_software/build/records. A camera calibration file also required to run a demo below so download Calibration file then put it in virtualGimbal/post_processing_software/build/camera_descriptions
Demo:
./pixelwise_stabilizer -i ~/vgdataset/C0003.MP4 -c ILCE-6500 -l SEL1670Z -j records/2019-04-03_07.27.36.json -z 1.3 -o
Here, i option is an input video file. c is a camera name that is calibrated using a calibrator. l is a lens name. j is a json file that include an angular velocity record of a gyro sensor. z is a zooming ratio. Recommended zooming ratio is 1.3 . o option outputs stabilized video.
Additional option n is available to disable preview window. This option speed ups the processing.
Camera calibration is required before you stabilize your own video. See a detail information to do it.
Install dependencies
Install system dependencies:
sudo apt-get install cmake make git
Install Git:
sudo apt install git-all
Install Python Dev:
sudo apt-get install python3-dev python3-pip python3-tk python3-lxml python3-six
Install Numpy & Scipy:
sudo apt-get install python3-numpy python3-scipy
Install Matplot Library:
sudo apt-get install python3-matplotlib
Install OpenCL: See detail information
sudo apt install ocl-icd-libopencl1 opencl-headers clinfo ocl-icd-opencl-dev
# OPTION: Install intel conpute-runtime with a command below if you use intel HD graphics.
# If you use NVIDIA gpu, it is not required. On the other hand, CUDA is required.
sudo apt-get install intel-opencl-icd
Install ffmpeg:
sudo apt install yasm pkg-config
cd
git clone git://source.ffmpeg.org/ffmpeg.git
cd ffmpeg
git checkout -b tag refs/tags/n4.4
./configure --enable-gpl --enable-x86asm --enable-opencl --enable-ffmpeg --enable-pic --enable-shared --disable-static --enable-swscale
make all -j4
sudo make install
sudo ldconfig
Install OpenCV
cd
sudo apt-get install build-essential module-assistant libgtk-3-dev
sudo m-a prepare
git clone https://github.com/opencv/opencv.git
cd opencv
git checkout refs/tags/4.5.3
cd opencv/
mkdir build
cd build
cmake .. -DWITH_TBB=ON -DWITH_OPENGL=ON -DWITH_VTK=ON -DWITH_GTK=ON -DWITH_FFMPEG=ON -DCMAKE_BUILD_TYPE=Release
make -j4
sudo make install
sudo sh -c "echo /usr/local/lib >> /etc/ld.so.conf.d/opencv.conf"
sudo sh -c "echo PKG_CONFIG_PATH=\\\$PKG_CONFIG_PATH:/usr/local/lib/pkgconfig >> /etc/bash.bashrc"
sudo sh -c "echo export PKG_CONFIG_PATH >> /etc/bash.bashrc"
Install Eigen
sudo apt install libeigen3-dev
Build
cd
git clone https://github.com/yossato/virtualGimbal.git
cd virtualGimbal
mkdir build
cd build
cmake ../post_processing_software/ -DCMAKE_BUILD_TYPE=Release
make -j4
To start up faster
I added a program angular_velocity_estimator that generates a JSON file. The file will be saved in same directory of video file after execution. If the file exists, the pixelwise_stabilizer starts up faster. To run the program, execute a command like below.
./angular_velocity_estimator ~/vgdataset/C0003.MP4
This command generates C0003.json .
The file contains estimated angular velocity from the video that is used for synchronizing between video and angular velocity measured by the gyro sensor.
Contribution
Todo
- Speeding up
- Brushing up deblur quality
Author
Yoshiaki Sato