Time tracks merlin project app series#
Time tracks merlin project app free#
Time tracks merlin project app windows#

There’s actually three of us on today’s panel. And so a lot of our audience, are probably already familiar with it, at least the basics of it, but there’s so much more to explore that I think this is going to be a really fascinating conversation.

Time tracks merlin project app free#

Which is a free mobile app from the Cornell Lab, and it’s one of the lab’s most well known resources. And this summer, we are highlighting a bunch of the various mobile apps, citizen science programs, and other digital resources created by the Cornell Lab.

Time tracks merlin project app series#

Now, this is the latest in a series of webinars for the Cornell Lab of Ornithology’s virtual visitor center programs. I want to start by mentioning that closed captioning is available, so if you’d like to see subtitles, please click on the closed caption button at the bottom of the video. Thank you all so much for joining us today.

On Merlin Bird ID, tips, tricks and updates. Audio2Face (coming soon): Animates a 2D or 3D digital face with high fidelity based on just an audio input.Okay.Eye contact: Simulates eye contact by estimating and aligning gaze with the camera.Commonly used in activity recognition, motion transfer, and virtual interactions in real time. Body pose estimation: Predicts and tracks 34 key points of the human body in 2D and 3D.Face mesh: Represents a human face with a 3D mesh with up to 3,000 vertices and six degrees of freedom.Face landmark tracking: Recognizes facial features and contours using 126 key points and tracks head pose and facial deformation due to head movement and expression in three degrees of freedom in real time.Face tracking: Detects human faces in images and videos and specifies location and size of the bounding box.Developers can create unique AR effects such as overlaying 3D content on a face, driving 3D characters and virtual interactions in real time. The Augmented Reality SDK offers AI-based, real-time 3D face tracking and body pose estimation based on a standard web camera feed.

Virtual background: Segments a person and applies AI-powered background removal, replacement, or blur.Video noise removal: Removes low-light camera noise introduced in the video capture process while preserving details.Artifact reduction: Removes compression artifacts from encoded video while preserving original details.Upscaler: Delivers high-throughput and up to 4X high-quality scaled video with an adjustable sharpening parameter.Super resolution: Generates a detail-enhanced video using AI neural networks that reduces artifacts and preserves texture with up to 4X high-quality scaling.The underlying deep learning models are optimized with NVIDIA AI using NVIDIA® TensorRT™ for high-performance inference, making it possible for developers to apply multiple effects in real-time applications. Maxine’s Video Effects SDK enables AI-based visual effects that run with standard webcam input and can easily be integrated into video conference and content creation pipelines. Using these features, developers can also create innovative multi-effects by combining Noise Removal and Room Echo Cancelation while delivering optimized performance and real-time latency. Room echo removal: Removes reverberations from audio using state-of-the-art AI models, restoring clarity of a speaker’s voice.Noise removal: Removes several common background noises using state-of-the-art AI models while preserving the speaker’s natural voice.With AI-based technology, more effective cancellation is achieved than with traditional digital signal processing Acoustic echo cancellation: Cancels real-time acoustic device echo from input audio stream, eliminating mismatched acoustic pairs and double-talk.Audio super resolution: Improves real-time audio quality by upsampling the audio input stream from 8kHz to 16kHz and from 16kHz to 48kHz sampling rate.

Time tracks merlin project app windows#

In desktop applications, the optimized models allow multiple applications, such as games, to run concurrently with minimal impact to the quality of both applications.ĭevelopers can integrate into standalone Windows and Linux applications to process microphone and speaker audio or into high-density servers for processing thousands of audio streams per server. High-performance, optimized AI models allow thousands of audio streams to be processed in real time per GPU, enhancing the audio quality by up to two mean-opinion-score points in subjective and objective quality metrics such as Perceptual Evaluation of Speech Quality and Perceptual Objective Listening Quality Analysis.

The Audio Effects SDK delivers AI-based audio quality enhancement algorithms, improving end-to-end conversation quality for narrowband, wideband, and ultra-wideband audio.