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Cool little resource I found https://earlyusergrowth.com/startups/. Source: about 3 years ago
Open the camera feed — and use the OpenCV library for real-time computer vision processing. - Source: dev.to / 1 day ago
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 / 5 months ago
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: 6 months ago
- [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: 10 months ago
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: 10 months ago
100 in 100 Challenge - Get 100 new paid users in 100 days
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
First 100 Users - Get your startup's first 100 users.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
GrowthList - A crowd-sourced list of growth hacks
NumPy - NumPy is the fundamental package for scientific computing with Python