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Based on our record, OpenCV seems to be a lot more popular than SyncWith for Google Sheets. While we know about 51 links to OpenCV, we've tracked only 2 mentions of SyncWith for Google Sheets. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The Sort API allows us to look at individual blockchain transactions, or even perform millisecond aggregations (average, sum, etc, useful for charting). We'll focus on the individual transactions, and to simplify the tutorial, we'll use a Google Sheets plugin called SyncWith, useful for sending API calls and storing the result in a Google Sheet. - Source: dev.to / about 2 years ago
Thanks to B.'s helpful suggestions, we started experimenting with Google Sheets, which DO the job if we use a wonderful Add-On called SyncWith that allows API importing. And -- this spreadsheet can be updated once a day even for free users. Source: over 2 years ago
Open the camera feed — and use the OpenCV library for real-time computer vision processing. - Source: dev.to / 26 days 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 / 6 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: 11 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: 11 months ago
Stein - Use Google Sheets as your no-setup database
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Sheetson - Instantly turn any Google Sheet into RESTful API
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Sheet 2 Site - Generate a website from 📗 Google Sheets
NumPy - NumPy is the fundamental package for scientific computing with Python