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title: Best OpenCV posts of 2025 | daily.dev
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# Best of OpenCV — 2025

1. 1  
[](/posts/real-time-interactive-sentiment-analysis-in-python-gelmz0c5f "Real-Time Interactive Sentiment Analysis in Python")  
Article  
![Avatar of tds](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/tds)Towards Data Science · 1y  
Real-Time Interactive Sentiment Analysis in Python  
The post demonstrates creating a real-time interactive sentiment analysis application using Python. It details setting up the GUI with customtkinter and dynamically visualizes sentiment through a procedurally generated smiley face using OpenCV. Pre-trained transformer models from the transformers library are used for sentiment prediction, and visual updates are processed asynchronously using thread pools to ensure smooth UI performance.  
76  
2
2. 2  
[](/posts/puffinsoft-jscanify-the-javascript-document-scanning-library--9xfu54rkw "puffinsoft/jscanify: The Javascript document scanning library.")  
Article  
![Avatar of community](https://media.daily.dev/image/upload/t_logo,f_auto/v1655817725/logos/community)Community Picks · 2y  
puffinsoft/jscanify: The Javascript document scanning library.  
jscanify is a JavaScript document scanning library powered by opencv.js. It supports web, NodeJS, and React platforms. The newly released version 1.3.0 offers glare suppression and multi-colored paper support. The same API provides better results, and a debugging tool is available for observing results on test images.  
64  
2
3. 3  
[](/posts/3-python-ai-projects-for-beginners---full-tutorial-ixqdcpnch "3 Python AI Projects for Beginners - Full Tutorial")  
Video  
![Avatar of TechWithTim](https://media.daily.dev/image/upload/s--6vVIDfU0--/f_auto/v1711726146/logos/TechWithTim)Tech With Tim · 1y  
3 Python AI Projects for Beginners - Full Tutorial  
Learn to build three beginner-friendly Python AI projects: an AI agent, a resume critiquer, and an image classifier. The tutorial covers setting up the environment using UV, using Langchain and TensorFlow, and utilizing Streamlit for user interfaces. Each project introduces tools and techniques for building adaptable AI models.  
57  
1
4. 4  
[](/posts/overthinking-gis-ykdbe48l5 "Overthinking GIS")  
Article  
![Avatar of hn](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/hn)Hacker News · 1y  
Overthinking GIS  
A developer creates a custom terrain usability metric by processing USGS elevation data using Python and OpenCV. The approach involves calculating the Laplacian (second-order derivative) of elevation data to identify steep terrain, then using a sliding window to generate average steepness values for different areas. The solution effectively becomes a complex downsampling method to classify land as buildable or too steep based on topographic line density.  
19  
1
5. 5  
[](/posts/use-arduinos-for-computer-vision-orgc2rfzw "Use Arduinos for Computer Vision")  
Article  
![Avatar of freecodecamp](https://media.daily.dev/image/upload/t_logo,f_auto/v1628412854/logos/freecodecamp)freeCodeCamp · 1y  
Use Arduinos for Computer Vision  
A new freeCodeCamp course combines computer vision, deep learning, and Arduino for hands-on projects. Students learn to control LCD displays with facial movements and operate robotic arms using computer vision. The course covers serial communication between Python and Arduino, MediaPipe face detection, working with LCD displays and servo motors, and OpenCV image processing techniques.  
11

[See all OpenCV archives](/tags/opencv/best-of)

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