Based on our record, Scikit Image should be more popular than FFmpeg. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The fact that Handbrake doesn't expose the same features as the ffmpeg CLI tool is frankly irrelevant. It's not just relevant, it's the whole thing. They asked for an ffmpeg GUI and someone recommended a GUI that doesn't use ffmpeg and doesn't do what ffmpeg can do. Ffmpeg can not only rewire channels, it can stream video, capture video from the screen, capture video from a tv tuner, overlay text etc. Also... - Source: Hacker News / about 1 year ago
FFMpeg and its libraries https://ffmpeg.org/about.html. - Source: Hacker News / almost 3 years ago
Hello everyone, welcome to week 13. This blog we are going to pick an open source software and locate the SIMD code from the source code of the software and then determine the SIMD code usage in a certain program. For my blog, I choose FFmpeg. FFmpeg is a cross-platform framework to record, convert, and stream video and audio, it provides an easy way to convert video and audio to other formats. FFmpeg is a very... - Source: dev.to / over 3 years ago
Ffmpeg is a free (GPL) program and library that does pretty much everything video-related, from recording to editing. It has some learning curve for things beyond just converting a file 1:1, but as a library, many programs such as OBS, Blender, Shotcut, Drawpile and KDEnLive implements it for tasks such as rendering and recording videos out of them. Source: almost 4 years ago
We will use the Hugging Face transformers and diffusers libraries for inference, FiftyOne for data management and visualization, and scikit-image for evaluation metrics. - Source: dev.to / about 1 year ago
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / over 1 year ago
This is a good cv deep learning book with python examples https://www.manning.com/books/deep-learning-for-vision-systems. If you're pretty comfortable with the concepts of traditional image processing this is a good companion to cv2 (so you don't have to reinvent the wheel) https://scikit-image.org/. Source: over 2 years ago
Also, don't know if you're familiar with Python, but if you need ideas for to implement for future directions : https://scikit-image.org/. Source: over 2 years ago
There's probably something in scikit-image to do what you want, or close enough to build on. Source: about 3 years ago
HandBrake - HandBrake allows users to easily convert video files into a wide variety of different formats.
OpenCV - OpenCV is the world's biggest computer vision library
Format Factory - Format Factory is software that allows the user to convert media into various file formats. The software is a product of PC Free Time, a Chinese software development company. Read more about Format Factory.
Microsoft Computer Vision API - Extract rich information from images and analyze content with Computer Vision, an Azure Cognitive Service.
Freemake Video Converter - Freemake Video Converter Converts 500+ Formats & Gadgets FREE! Convert to MP4, AVI, MKV, WMV, DVD, Xvid. FREE Download. **Voted Best of 2018** Comes with FREE…
Amazon Rekognition - Add Amazon's advanced image analysis to your applications.