OpenCV Reviews and details

Social recommendations and mentions

• Grasping Computer Vision Fundamentals Using Python

  To aspiring innovators: Dive into open-source frameworks like OpenCV or PyTorch, experiment with custom object detection models, or contribute to projects tackling bias mitigation in training datasets. Computer vision isn’t just a tool, it’s a bridge between the physical and digital worlds, inviting collaborative solutions to global challenges. The next frontier? Systems that don’t just interpret visuals, but... - Source: dev.to / 8 days ago

• Top Programming Languages for AI Development in 2025

  Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / 21 days ago

• Why 2024 Was the Best Year for Visual AI (So Far)

  Almost everyone has heard of libraries like OpenCV, Pytorch, and Torchvision. But there have been incredible leaps and bounds in other libraries to help support new tasks that have helped push research even further. It would be impossible to thank each and every project and the thousands of contributors who have helped make the entire community better. MedSAM2 has been helping bring the awesomeness of SAM2 to the... - Source: dev.to / 5 months ago

• 20 Open Source Tools I Recommend to Build, Share, and Run AI Projects

  OpenCV is an open-source computer vision and machine learning software library that allows users to perform various ML tasks, from processing images and videos to identifying objects, faces, or handwriting. Besides object detection, this platform can also be used for complex computer vision tasks like Geometry-based monocular or stereo computer vision. - Source: dev.to / 6 months ago

• F1 FollowLine + HSV filter + PID Controller

  This library is used for image and video processing, offering functions for tasks like object detection, filtering, and transformations in computer vision. - Source: dev.to / 8 months ago

• Built in Days, Acquired for $20K: The NuloApp Story

  First of all, OpenCV, an open-source computer vision library, was used as the main editing tool. This is how NuloApp is able to get the correct aspect ratio for smartphone content, and do other cool things like centering the video on the speaker so that they aren't out of frame when the aspect ratio is changed. - Source: dev.to / 8 months ago

• Using YOLO for Real-Time Object Detection with Koyeb GPUs

  In addition to installing the YOLO implementation from Ultralytics, this also installs OpenCV for image processing. - Source: dev.to / 10 months ago

• Efficient Driver's License Recognition with OCR API: Step-by-Step Tutorial

  OpenCV - The official site for OpenCV, featuring tutorials and documentation. - Source: dev.to / 11 months ago

• Essential Deep Learning Checklist: Best Practices Unveiled

  How to Accomplish: Use statistical analysis tools and libraries (e.g., Pandas for tabular data) to calculate and visualize these characteristics. For image datasets, custom scripts to analyze object sizes or mask distributions can be useful. Tools like OpenCV can assist in analyzing image properties, while libraries like Pandas and NumPy are excellent for tabular and numerical analysis. To address class... - Source: dev.to / 11 months ago

• FridgeBot — GPT-4o shopping list automation

  Open the camera feed — and use the OpenCV library for real-time computer vision processing. - Source: dev.to / 12 months ago

• 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. - Source: dev.to / over 1 year ago

• 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/). Source: over 1 year ago

• Looking to recreate a cool AI assistant project with free tools

  - [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: almost 2 years ago

• Looking to recreate a cool AI assistant project with free tools

  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: almost 2 years ago

• What are the limits of blueprints?

  You also need C++ if you're going to do things which aren't built in as part of the engine. As an example if you're looking at using compute shaders, inbuilt native APIs such as a mobile phone's location services, or a third-party library such as OpenCV, then you're going to need C++. Source: almost 2 years ago

• Interesting problem trying to solve.

  Another option is using the OpenCV library with Python to extract features from images and compare them using feature matching algorithms like SIFT, SURF, or ORB. This approach is more computationally intensive but might be more accurate in identifying near-duplicates. You can find more information about OpenCV here: https://opencv.org/. Source: about 2 years ago

• A Guide to Blurring Images with OpenCV and Python

  If you're reading this, you're probably curious about computer vision, or just starting out. You've come to the right place. In this tutorial, we'll learn to blur images using OpenCV and Python. - Source: dev.to / about 2 years ago

• How can I open an image, then iterate through the images pixels and check rgb value?

  Everything you describe can be done rather simply with opencv. Source: about 2 years ago

• Managing your Azure Cognitive Search Costs

  If you find this cost prohibitive, you could try using some compute resources outside of Azure and a library like OpenCV or Azure Form Recognizer to try to extract meaning from image documents and then store the extracted information in Azure Cognitive Search instead of the source document. This typically is not worth the effort, however. - Source: dev.to / about 2 years ago

• Real time images to Arduino Arrays conversion for use on LCD displays?

  To capture your eyes and make the determination of whether they are open or not (or to even copy the images to the LCD in realtime) will require a processor running much much faster than the average Arduino. Probably something making use of openCV (an extremely capable open source Computer Vision and image processing library). Arduino's (most) run at 16MHz. A Raspberry Pi or an ESP32 would be much more suited to... Source: over 2 years ago

• Building a Deep learning model with Keras and ResNet-50

  You first import the OpenCV library. It will pre-process the selected flower image to ensure it has the same dimensions as the images that trained the deep learning model. - Source: dev.to / over 2 years ago