OpenCV
Scikit-learn
Pandas
NumPy
Dataiku
Exploratory
htm.java
WEKA
Shutter Encoder
HandBrake
File Converter
FFmpeg
Format Factory
Freemake Video Converter
VidCoder
Avidemux
Shutter Encoder is one of the best video converter software, it handles images and audio too!
It has been designed by video editors in order to be as accessible and efficient as possible.
Shutter Encoder makes use of FFmpeg to handle its encoding, allowing support for almost every codec you’ve ever heard of, and many more you haven’t.
Don’t just take our word for it though, Avid themselves recommend Shutter Encoder as part of your Media Composer and ProTools ingesting workflow!
OpenCV Shutter EncoderOpenCV might be a bit more popular than Shutter Encoder. We know about 51 links to it since March 2021 and only 43 links to Shutter Encoder. 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.
Open the camera feed — and use the OpenCV library for real-time computer vision processing. - Source: dev.to / about 2 hours 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 / 5 months ago
You might be able to achieve this with scripting tools like AutoHotkey or Python with libraries for GUI automation and image recognition (e.g., PyAutoGUI https://pyautogui.readthedocs.io/en/latest/, OpenCV https://opencv.org/). Source: 6 months ago
- [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: 10 months ago
I came across a very interesting [project]( (4) Mckay Wrigley on Twitter: "My goal is to (hopefully!) add my house to the dataset over time so that I have an indoor assistant with knowledge of my surroundings. It’s basically just a slow process of building a good enough dataset. I hacked this together for 2 reasons: 1) It was fun, and I wanted to…" / X ) made by Mckay Wrigley and I was wondering what's the easiest... Source: 10 months ago
If you're just trying to convert a video file to an image sequence you can do that in Shutter Encoder. Source: over 1 year ago
You can this with Shutter Encoder using 'Cut without re-encoding' function. Source: about 2 years ago
You may have better chance using Shutter Encoder. Source: about 2 years ago
I'd recommend against Handbrake. Handbrake is awesome if you need to make H.264 or H.265, but that compounds generation loss going from very lossy to very lossy. I'd strongly recommend using Shutter Encoder to make ProRes or DNxHR instead. It's based on ffmpeg, which is a big part of the underlying functionality of Handbrake too. They're both just more user-friendly interfaces for the same tool. Source: over 2 years ago
You can use Shutter Encoder with 'Conform' function and set the desired output FPS. Source: over 2 years ago
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
HandBrake - HandBrake allows users to easily convert video files into a wide variety of different formats.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
File Converter - Convert & compress everything in 2 clicks!
NumPy - NumPy is the fundamental package for scientific computing with Python
FFmpeg - Open source multimedia suite for conversion, playback, profiling, and streaming.