cv_bridge javacv
cv_bridge Tutorial with raw images.Using javacv.
App info
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App description
Android App Analysis and Review: cv_bridge javacv, Developed by Tal Regev. Listed in Tools Category. Current Version Is 0.0.8, Updated On 17/04/2019 . According to users reviews on Google Play: cv_bridge javacv. Achieved Over 50 Installs. cv_bridge javacv Currently Has 1 Reviews, Average Rating 1.0 Stars
Application that create a node that listens to a ROS image message topic, converts the image into a opencv Mat, draws a circle on it and displays the image on the phone. The image is then republished over ROS.Topic for receive images:
/camera/image/raw
Topic for output images:
/image_converter/output_video/raw
You don't need OpenCV Manager for this app.
Wiki
GitHub
v0.0.8
- Add arm64 support.
- Switch to opencv 3.4.x.
v0.0.7
- rename app name.
- add version number on title app.
- add opencv 3.1 for javacv.
- move to opencv 3.x.
- improve code.
v0.0.6
Change cv_bridge library API:
- Make code simpler and cleaner.
- Add support format on rviz.
v0.0.5
Add image subproject to add more functionality
Change Names in cv_bridge API,
Make cv_bridge_native as Java jar, without depndency on odroid.
Apps work the same.
v0.0.4
change app name
v0.0.3
re-arrange the code
change name space
add native apps that don't use OpenCV Manager.
v0.0.2
change Id of the app
v0.0.1
Init version
We are currently offering version 0.0.8. This is our latest, most optimized version. It is suitable for many different devices. Free download directly apk from the Google Play Store or other versions we're hosting. Moreover, you can download without registration and no login required.
We have more than 2000+ available devices for Samsung, Xiaomi, Huawei, Oppo, Vivo, Motorola, LG, Google, OnePlus, Sony, Tablet ... with so many options, it’s easy for you to choose games or software that fit your device.
It can come in handy if there are any country restrictions or any restrictions from the side of your device on the Google App Store.
What's New
v0.0.8
- Add arm64 support.
- Switch to opencv 3.4.x.
- Add arm64 support.
- Switch to opencv 3.4.x.
