How to set cv2.VideoCapture() image size in Python

Use cv2.CAP_PROP_FRAME_WIDTH and cv2.CAP_PROP_FRAME_HEIGHT in order to tell OpenCV which image size you would like.

import cv2

video_capture = cv2.VideoCapture(0)
# Check success
if not video_capture.isOpened():
    raise Exception("Could not open video device")
# Set properties. Each returns === True on success (i.e. correct resolution)
video_capture.set(cv2.CAP_PROP_FRAME_WIDTH, 160)
video_capture.set(cv2.CAP_PROP_FRAME_HEIGHT, 120)
# Read picture. ret === True on success
ret, frame = video_capture.read()
# Close device
video_capture.release()

Note that most video capture devices (like webcams) only support specific sets of widths & heights. Use uvcdynctrl -f to find out which resolutions are supported:

$ uvcdynctrl -f
Listing available frame formats for device video0:
Pixel format: YUYV (YUYV 4:2:2; MIME type: video/x-raw-yuv)
  Frame size: 640x480
    Frame rates: 30, 20, 10
  Frame size: 352x288
    Frame rates: 30, 20, 10
  Frame size: 320x240
    Frame rates: 30, 20, 10
  Frame size: 176x144
    Frame rates: 30, 20, 10
  Frame size: 160x120
    Frame rates: 30, 20, 10

How to take a webcam picture using OpenCV in Python

This code opens /dev/video0 and takes a single picture, closing the device afterwards:

import cv2

video_capture = cv2.VideoCapture(0)
# Check success
if not video_capture.isOpened():
    raise Exception("Could not open video device")
# Read picture. ret === True on success
ret, frame = video_capture.read()
# Close device
video_capture.release()

You can also use cv2.VideoCapture("/dev/video0"), but this approach is platform-dependent. cv2.VideoCapture(0) will also open the first video device on non-Linux platforms.

In Jupyter you can display the picture using

import sys
from matplotlib import pyplot as plt

frameRGB = frame[:,:,::-1] # BGR => RGB
plt.imshow(frameRGB)

 

How to build rav1e on Ubuntu

This will fetch and build the current git master of rav1e. The build process has been tested on Ubuntu 18.04 with rav1e git revision 49dcaada4.

sudo apt update
sudo apt -y install cargo git perl nasm cmake clang pkg-config
# Fetch
git clone https://github.com/xiph/rav1e.git
mv rav1e rav1e-git
cd rav1e-git
git submodule update --init
# Build libaom-av1
cmake aom_build/aom -DAOM_TARGET_CPU=x86_64 -DCONFIG_AV1_ENCODER=0 -DENABLE_TESTS=0 -DENABLE_DOCS=0 -DCONFIG_LOWBITDEPTH=1
make -j$(nproc)
# Build rav1e
cargo build --release
# Copy to parent directory
cp target/

After the build finishes, the rav1e executable is placed in the directory where you ran those commands. You can delete the rav1e-git folder

Download the resulting binary for Ubuntu 18.04 x86_64 here