SmoothStream
pythonic-cv
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SmoothStream | pythonic-cv | |
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1 | 36 | |
189 | 38 | |
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0.0 | 0.0 | |
8 months ago | about 2 years ago | |
Python | Python | |
GNU General Public License v3.0 only | MIT License |
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SmoothStream
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How to encode, send, receive and decode and display a video stream using python?
Thanks. I'm now using mss to capture the screen, send it using zmq, and feed that as a replacement for this guy's camera stream, which works flawlessly: https://github.com/CT83/SmoothStream
pythonic-cv
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Play a Video on Loop, Replace Video with Photo, Then Go Back to Video
I did something similar in this example, where the “input” was someone covering up a webcam to switch to the next display source (in my case switching through a list of videos that would continue from where they left off).
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[pyautogui] What is faster?
If you’re wanting to continuously process your screen like a live video stream you might be interested in (my library) pythonic-cv, which supports MSS as a video input backend.
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Python Code Help - OpenCV Project
I’ve previously done something similar here, but the transition was triggered by covering a webcam (e.g. with a finger).
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Better alternative to pyautogui image recognition?
pythonic-cv (disclaimer: my library) includes MSS as an input stream option.
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[Discussion] Any other ways to find convergence of pixels by color?
If that’s of interest, OpenCV provides a detailed stitching example, although my revision is likely a fair amount easier to follow and understand (but it’s been optimised for video, so if you’re wanting to use it with minimal modification you’ll need to provide your images in a sequence where each image has overlap with the one before it, not in a random order).
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Class has a method called release instead of close. I want to use the With keyword. How do I tell python to call release instead of close
As something of a side note, you may be interested in (my library) pythonic-cv.
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Write efficient async code in computer vision programs
I wrote pythonic-cv because I found that pipelines regularly require pre and post processing that can be done in parallel across frames - you might want to take a look :-)
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Is FER just this slow or is it just me?
Likely areas for parallelisation depend on the operations that are happening - if there are independent stages then they can often be made to run at the same time in separate threads (or processes). Concurrency is similar, although more about doing something else while waiting for I/O, and can generally be solved with threads or asyncio coroutines. A common improvement for video-focused computer vision pipelines is reading in/capturing the next frame while the previous frame is being processed (e.g. like is done with pythonic-cv - disclaimer: my library), but given the frame rates you specified then that may help a bit but is likely not the main culprit. ML-based algorithms can often benefit from the inherent parallelisation of a GPU-based implementation, although that can be difficult or even impossible to achieve depending on the algorithm being used.
- Image stitching
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[Bug] After trying to send to my database my video is suddenly lagging
Personally I’d approach this using pythonic-cv - it has a VideoReader class that supports separate preprocess and process functions, and has threading built in. Then again, I wrote the library, so it’s not so surprising that I’d jump to using it.
What are some alternatives?
pyan - Static call graph generator. The official Python 3 version. Development repo.
ffmpeg-python - Python bindings for FFmpeg - with complex filtering support
iterative-grabcut - This algorithm uses a rectangle made by the user to identify the foreground item. Then, the user can edit to add or remove objects to the foreground. Then, it removes the background and makes it transparent.
kaleidoscope - Apply a kaleidoscope effect to images and videos
speed-camera - A Unix, Windows, Raspberry Pi Object Speed Camera using python, opencv, video streaming, motion tracking. Includes a Standalone Web Server Interface, Image Search using opencv template match and a whiptail Admin Menu Interface Includes picam and webcam Plugins for motion track security camera configuration including rclone sync script. watch-app allows remotely controller camera configuration from a remote storage service name. Uses sqlite3 and gnuplot for reporting. Recently added openalpr license plate reader support.
pydub - Manipulate audio with a simple and easy high level interface
z-cam - The First Python Compatible Camera Hacking Tool
python-mss - An ultra fast cross-platform multiple screenshots module in pure Python using ctypes.
yolov7-pose-estimation - YOLOv7 Pose estimation using OpenCV, PyTorch
interactive-projectivity-open - Interactive projections using computer vision
camKapture - Take photos and videos with your webcam, with fun graphical effects
OpenCV - Open Source Computer Vision Library