pythonic-cv
OpenCV
pythonic-cv | OpenCV | |
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36 | 196 | |
38 | 75,692 | |
- | 1.0% | |
0.0 | 9.9 | |
about 2 years ago | 7 days ago | |
Python | C++ | |
MIT License | Apache License 2.0 |
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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.
OpenCV
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การจำแนกสายพันธุ์มะม่วง โดยใช้ Visual Geometry Group 16 (VGG16) ใน Python
Referenceshttps https://www.kaggle.com/datasets/riyaelizashaju/skin-disease-image-dataset-balanced?fbclid=IwAR3wbTp8l5yo_5fx6HAX8Vd2-9cca3khAc8EiBGFObaALfdVid29IuB_rYE https://keras.io/api/applications/vgg/ https://www.tensorflow.org/tutorials/images/cnn?hl=th https://opencv.org/
- Opencv-Python adds support for Pathlike objects
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Exploring Open-Source Alternatives to Landing AI for Robust MLOps
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.
- OpenCV calls for help
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Image segmentation in huggingface
You'll need to plot the predictions. There are a few open source tools to do that, supervision is one you can use (https://github.com/roboflow/supervision) and opencv is another common option (https://github.com/opencv/opencv)
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Looking for a Windows auto-clicker with conditions
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/).
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NodeJS: Blurring Human Faces in Photos
The OpenCV4NodeJs A.I. library provides an interface for calling OpenCV routines in NodeJS.
- NodeJS - Ofuscando rostos humanos em fotos
- SIMD Everywhere Optimization from ARM Neon to RISC-V Vector Extensions
- VidCutter: A program for lossless video cutting
What are some alternatives?
ffmpeg-python - Python bindings for FFmpeg - with complex filtering support
libvips - A fast image processing library with low memory needs.
kaleidoscope - Apply a kaleidoscope effect to images and videos
VTK - Mirror of Visualization Toolkit repository
pydub - Manipulate audio with a simple and easy high level interface
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
python-mss - An ultra fast cross-platform multiple screenshots module in pure Python using ctypes.
CImg - The CImg Library is a small and open-source C++ toolkit for image processing
SmoothStream - Webcam, PiCamera streaming over the network with Python made easy.
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
interactive-projectivity-open - Interactive projections using computer vision
Boost.GIL - Boost.GIL - Generic Image Library | Requires C++14 since Boost 1.80