finishAffinity();
android.os.Process.killProcess(android.os.Process.myPid());
System.exit(1);
@sketchlearn
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👍5❤1
Anonymous Quiz
83%
Yes 🔥
17%
No 🐾
👍3❤1
Multi Language project for Sketchware Pro
-> Easy to change language.
-> This is example only.
-> project by #me
✈️ @sketchlearn
-> Easy to change language.
-> This is example only.
-> project by #me
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👍5❤3
MultiLanguage v1.0.1_d.swb
15.6 KB
Multi Language project for Sketchware Pro
-> Easy to change language.
-> This is example only.
-> project by #me
✈️ @sketchlearn
-> Easy to change language.
-> This is example only.
-> project by #me
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👍8
Multi Theme project for Sketchware Pro
-> Support for dark & light theme.
-> Enable AppCompat & design if you use this project sources on your project.
-> Material 2 applied
-> by #me
✈️ @sketchlearn | Subscribe if you love programming 😇
-> Support for dark & light theme.
-> Enable AppCompat & design if you use this project sources on your project.
-> Material 2 applied
-> by #me
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👍3
Multi Theme / Material 3 variant project for Sketchware Pro
-> Material 3 (Beta)
-> by #me
✈️ @sketchlearn
-> Material 3 (Beta)
-> by #me
Bug🙁 . Open this project on light theme on your device
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❤2👍2
MultiTheme v1.0.1_d_d.swb
18.7 KB
Multi Theme / Material 3 variant project for Sketchware Pro
✈️ @sketchlearn | Subscribe if you are developer ☹️
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👍7
best ide for mobile
Android dev
Android ide
Code assist
Web dev
Ghost ide
acode
turbo editor
python dev
pydroid3
Ghost ide
C++ Dev
cxxdroid
Rust dev
null
Apart from these applications, no other application is valid
Android dev
Android ide
Code assist
Web dev
Ghost ide
acode
turbo editor
python dev
pydroid3
Ghost ide
C++ Dev
cxxdroid
Rust dev
null
Apart from these applications, no other application is valid
👍7
Forwarded from Android Developers
OpenCV
OpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. It contains a comprehensive set of tools and functions for real-time image processing, computer vision tasks, and machine learning applications. Here are some key features of OpenCV:
1. Image Processing: It provides a wide range of functions for image manipulation, including filtering, transformation, and color space conversion.
2. Computer Vision: OpenCV supports various computer vision tasks, such as face detection, object recognition, and motion tracking.
3. Machine Learning: The library includes algorithms for classification, regression, and clustering, making it useful for building machine learning models.
4. Cross-Platform: OpenCV is compatible with multiple operating systems, including Windows, macOS, and Linux, and can be used with programming languages like Python, C++, and Java.
5. Real-Time Performance: It is optimized for real-time applications, allowing for fast processing of images and video streams.
6. Extensive Community Support: Being an open-source project, OpenCV has a large community of developers and users, which means a wealth of tutorials, documentation, and forums are available for support.
OpenCV is widely used in various fields, including robotics, augmented reality, medical imaging, and more.
OpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. It contains a comprehensive set of tools and functions for real-time image processing, computer vision tasks, and machine learning applications. Here are some key features of OpenCV:
1. Image Processing: It provides a wide range of functions for image manipulation, including filtering, transformation, and color space conversion.
2. Computer Vision: OpenCV supports various computer vision tasks, such as face detection, object recognition, and motion tracking.
3. Machine Learning: The library includes algorithms for classification, regression, and clustering, making it useful for building machine learning models.
4. Cross-Platform: OpenCV is compatible with multiple operating systems, including Windows, macOS, and Linux, and can be used with programming languages like Python, C++, and Java.
5. Real-Time Performance: It is optimized for real-time applications, allowing for fast processing of images and video streams.
6. Extensive Community Support: Being an open-source project, OpenCV has a large community of developers and users, which means a wealth of tutorials, documentation, and forums are available for support.
OpenCV is widely used in various fields, including robotics, augmented reality, medical imaging, and more.
👍5