Welcome to SelfieSnap: Selfie Studio AI, the ultimate selfie editing app powered by cutting-edge artificial intelligence! Unleash your creativity and take your selfies to the next level with our advanced technology that seamlessly separates your face from the background, opening up a world of exciting possibilities.
ML Kit's selfie segmentation API allows developers to easily separate the background from users within a scene and focus on what matters. Adding cool effects to selfies or inserting your users into interesting background environments has never been easier.
The selfie segmentation API takes an input image and produces an output mask. By default, the mask will be the same size as the input image. Each pixel of the mask is assigned a float number that has a range between [0.0, 1.0]. The closer the number is to 1.0, the higher the confidence that the pixel represents a person, and vice versa.
The API works with static images and live video use cases. During live video, the API will leverage output from previous frames to return smoother segmentation results.
- Cross-platform support Enjoy the same experience on both Android and iOS.
- Single or multiple user support Easily segment multiple people or just a single person without changing any settings.
- Full and half body support The API can segment both full body and upper body portraits and video.
- Real time results The API is CPU-based and runs in real time on most modern smartphones (20 FPS+) and works well with both still image and live video streams.
- Raw size mask support The segmentation mask output is the same size as the input image by default. The API also supports an option that produces a mask with the model output size instead (e.g. 256x256). This option makes it easier to apply customized rescaling logic or reduces latency if rescaling to the input image size is not needed for your use case.
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MIT License
Copyright (c) 2023 İbrahim Can Erdoğan
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