imagick
OpenCV
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| imagick | OpenCV | |
|---|---|---|
| 3 | 196 | |
| 1,693 | 75,566 | |
| 1.3% | 1.6% | |
| 3.3 | 9.9 | |
| 4 days ago | 1 day ago | |
| Go | C++ | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
imagick
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Golang library similar to Python's pillow
If you want my opinion on which one to use, I would recommend this one, as there exist bindings for a huge amount of languages.
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Best way to composite millions of tiny 16x16 images together?
Looks like the kind of problem I'd solve with imagick https://github.com/gographics/imagick
- How to call C++ (wrapped with python) in Go
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?
libvips - A fast image processing library with low memory needs.
OpenImageIO - Reading, writing, and processing images in a wide variety of file formats, using a format-agnostic API, aimed at VFX applications.
VTK - Mirror of Visualization Toolkit repository
FreeImage - A custom distribution of FreeImage, with a CMake-based build system. Used by the Athena Game Framework.
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
CImg - The CImg Library is a small and open-source C++ toolkit for image processing
imaginary - Fast, simple, scalable, Docker-ready HTTP microservice for high-level image processing
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
go-cairo - Go binding for the cairo graphics library
Boost.GIL - Boost.GIL - Generic Image Library | Requires C++14 since Boost 1.80