قم بتنزيل AI Green Screen على جهاز الكمبيوتر باستخدام GameLoop Emulator

AI Green Screen على الكمبيوتر الشخصي

AI Green Screen ، القادم من المطور Haavepaja ، يعمل على نظام Android في الماضي.

الآن ، يمكنك لعب AI Green Screen على جهاز الكمبيوتر باستخدام GameLoop بسلاسة.

قم بتنزيله في مكتبة GameLoop أو في نتائج البحث. لا مزيد من الانتباه إلى البطارية أو المكالمات المحبطة في الوقت الخطأ بعد الآن.

ما عليك سوى الاستمتاع بجهاز AI Green Screen على الشاشة الكبيرة مجانًا！

AI Green Screen مقدمة

Background removal and paint effects with the latest artificial intelligence (AI) technology! Pick any image or video and detect objects and background automatically - and not only for background removal, but for various other cool effects too. The app is based on semantic image segmentation, which is the concept of finding objects and boundaries in images. Google Research DeepLab is a state-of-art deep learning neural network for the semantic image segmentation - and now with AI Green Screen this awesome technology is available as an easy app for everyday use. Simply let AI detect the image objects and pick the effect to apply. True power of artificial intelligence to everybody!

AI Detection Sensitivity

You can apply effects to detected objects or everything else (the background). There are 3 different levels of object detection sensitivity:

1) People only: strictly focusing on humans.

2) People and vehicles (default): detects people, airplanes, bicycles, boats, buses, cars, motorbikes, and trains. This mode is useful for protecting privacy, like blurring all objects that can contain privacy sensitive information (like license plates etc).

3) All objects: in addition to people and vehicles, detects: birds, bottles, cats, chairs, cows, diningtables, dogs, horses, pottedplants, sheeps, sofas, trains, and TVs

AI Painter

A new generation of AI paint effects - something you won't find in any other app!

Effects

You can apply effects either to the detected objects or to the background: AI painter, blurring, tiling, green screen (masking objects or background with green), transparency (background removal - transparency effects switch on image PNG saving), background swap, and many more.

Video support

Output frame rate control, with audio working in any setup. Trim the source video to process only a part of the footage.

Swap background video

It's fully automated green screening and replacing background with a selected video! This works for both images and videos. If you swap an image background with a video, you'll get an image-to-video export with audio taken from the background video.

Image to video effects

You can turn your image into short videos with looping and fluid animation effects. Just pick any photo and get super-cool seamless loops for Instagram, TikTok, etc!

Chroma keying

Use chroma key to process traditional green screen material - or build a mask based on image alpha (transparency).

Stickers

Save any project as a sticker for later use. Overlay stickers on top of images, image-to-video effects, or videos.

Create custom WhatsApp stickers

You can use all your custom stickers in WhatsApp too!

Use app as a share target

You can send media to AI Green Screen from any app that handles images or videos. Simply choose to share the selected image or video and use AI Green Screen as the share target.

Privacy

AI Green Screen uses local AI processing only, unlike most AI products. This is a major benefit, since AI Green Screen never sends your images out of your device for cloud processing. After editing, you can choose to share the image, if you like. But even in this case the standard Android share functionality is used, and you stay fully in control.

Mask Editor

Sometimes AI may not produce a perfect result - or maybe you want to remove a person or an object from the AI generated mask. Extending the mask is just as easy with Mask Editor.

Crop Tool

Choose to save only a selected part of the processed image.

Technology

Google TensorFlow Lite

https://www.tensorflow.org/lite/

Google Research DeepLab V3+ (PASCAL VOC 2012, Mobile Net V2)

https://github.com/tensorflow/models/tree/master/research/deeplab

We would love to hear your feedback. You can use Play to contact us. Or simply contact us on Twitter or Instagram @Haavepaja https://twitter.com/Haavepaja