Search Results for "psnr"
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Showing 15 open source projects for "psnr"
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FFmpeg Quality Metrics
Calculate quality metrics with FFmpeg (SSIM, PSNR, VMAF, VIF)
FFmpeg Quality Metrics is a Python-based tool that evaluates video quality by calculating objective metrics using FFmpeg. It supports widely used metrics such as PSNR, SSIM, VIF, MSAD, and VMAF, enabling detailed comparison between reference and distorted video files. The tool outputs both per-frame data and aggregated statistics like averages and standard deviation, making it useful for research, encoding optimization, and benchmarking. It also includes optional visualization features through an interactive web-based dashboard for analyzing results graphically. ... -
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reverse-SynthID
Reverse engineering Gemini's SynthID detection
Reverse-SynthID is a research-focused project that analyzes and reverse-engineers Google’s SynthID watermarking system used in AI-generated images. It leverages signal processing and spectral analysis techniques to identify hidden watermark patterns without access to proprietary encoding methods. The project introduces a multi-resolution “SpectralCodebook” that maps watermark characteristics across different image sizes. Using this approach, it can detect SynthID watermarks with high... -
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PlayerPro music editor and SoundTracker
Play SoundTracker media on your computer.
PlayerPro is a music composer and sound editor ( SoundTracker ) for MOD S3M XM IT UMX . Uses XI, Quicktime or SoundFonts. Currently runs on MacOS and OSX; playback engines also available for Windows and BeOS. Upcoming version 6 will support ALSA (Linux). -
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GatcomVideo
Graphical application included in the VDSF-VN framework
Application developed in Java that allow the study of video streaming over Vehicular Networks (VANETs), including all the necessary tasks, namely: video encoding with HEVC, launching the simulations in parallel, generating graphs with the results, and analysing the received video quality with several Quality of Experience (QoE) metrics: Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index Measure (SSIM), ... GatcomVideo is part of the Video Delivery Simulation Framework over Vehicular Networks (VDSF-VN), which is composed of several components: (1) an OMNeT++ project called "ppp_qos" (2) GatcomSUMO (3) GatcomVideo The "ppp_qos" project and the application GatcomSUMO are downloadable from different SourceForge projects. ... -
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VDSF-VN (ppp_qos)
Framework for simulation of video streaming over VANETs
Video Delivery Simulation Framework over Vehicular Networks (VDSF-VN) is a set of tools that allow the study of video streaming over Vehicular Networks (VANETs), including all the necessary tasks, namely: video encoding with HEVC, creating the network scenarios for SUMO & OMNeT++, launching the simulations in parallel, generating graphs with the results, analyzing the received video quality (PSNR, SSIM, ...). The framework is composed of several components: (1) an OMNeT++ project called "ppp_qos" (2) GatcomSUMO (3) GatcomVideo The applications GatcomSUMO and GatcomVideo are downloable from different SourceForge projects, and are developed in Java, so, they are platform independent, as well as the VDSF-VN framework. ... -
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BCI
BCI: Breast Cancer Immunohistochemical Image Generation
Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix. We have released the trained model on BCI and LLVIP datasets. We host a competition for breast cancer immunohistochemistry image generation on Grand Challenge. Project pix2pix provides a python script to generate pix2pix training data in the form of pairs of images {A,B}, where A and B are two different depictions of the same underlying scene, these can be pairs {HE, IHC}. Then we can learn to translate A(HE images)... -
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mgnsVideoTranscoder
mgnsVideoTranscoder is a tool that allows to transcode video file
Full documentation is provided in docs\index.html inside archive file. -
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Perceptual Similarity Metric and Dataset
LPIPS metric. pip install lpips
While it is nearly effortless for humans to quickly assess the perceptual similarity between two images, the underlying processes are thought to be quite complex. Despite this, the most widely used perceptual metrics today, such as PSNR and SSIM, are simple, shallow functions, and fail to account for many nuances of human perception. Recently, the deep learning community has found that features of the VGG network trained on ImageNet classification has been remarkably useful as a training loss for image synthesis. But how perceptual are these so-called "perceptual losses"? ... -
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Image Super-Resolution (ISR)
Super-scale your images and run experiments with Residual Dense
...Docker scripts and Google Colab notebooks are available to carry training and prediction. Also, we provide scripts to facilitate training on the cloud with AWS and Nvidia-docker with only a few commands. When training your own model, start with only PSNR loss (50+ epochs, depending on the dataset) and only then introduce GANS and feature loss. This can be controlled by the loss weights argument. The weights used to produce these images are available directly when creating the model object. ISR is compatible with Python 3.6 and is distributed under the Apache 2.0 license. -
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C++ Bitmap Library
C++ Bitmap Library
Light-Weight Platform Independent C++ Bitmap Image Reader Writer Library Download: http://www.partow.net/programming/bitmap/index.html -
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NS3 QoE Monitor
QoE Monitor allows NS3 users to evaluate QoE in simulated environments
...QoE Monitor is currently developed by the Networking Research group of University of Modena and Reggio Emilia (http://www.unimore.it/). List of currently available features: - PSNR/SSIM computation for H.264 video transmission - G.711 audio transmission - Basic RTP emulation - Receiver side jitter estimation, according to RFC 3550 To do: - support new audio and video codecs - support new audio and video formats - develop objective audio evaluation metric(s) Update 02/27/2013: The latest archive has been updated to include some new features. -
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psnrtool
calculate psnr stats between two yuv files.
Features: - nice output formatting options -
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IQA is a C library for objectively measuring image/video quality. It implements many popular algorithms, such as MS-SSIM, MS-SSIM*, SIMM, MSE, and PSNR. It is designed to be fast, accurate, and reliable. All code is Valgrind-clean and unit tested.
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mpeg2videotools is a C library and set of tools for encoding, decoding, verification and analysis of MPEG-2 video. It supports 422 Profile and High Profile bitstreams. A PSNR tool is included for comparing uncompressed video to encoded MPEG-2 video.
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