$25 / month
Based on our record, OpenCV should be more popular than Nolt. It has been mentiond 52 times since March 2021. 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.
Seems like nolt.io and rust feedback is privated at the moment, must have had ppl bombing it after the update. Source: about 1 year ago
- Employee feedback board - a place where bigger companies can head their employees and their problems (https://nolt.io/ for employees and companies). Source: almost 2 years ago
Well it is one of the better early tier monuments, what other reason would they have for making it easier? It has always worked properly and fine. Also there was a MASSIVE uproar from the community because of it, if it wasnt just for the noobs they would have left it. https://rust.nolt.io/ had practically nothing but complaints from players on it for weeks, to this day I still occasionally see it. Not to mention... Source: about 2 years ago
If anyone at bigscreen reading this then please make a http://feedback.bigscreenvr.com/ page and use Nolt · Feedback boards your users will love or something like this or make a custom one, so anyone can see your roadmap and give suggestion and vote ideas. It will also help you to know what users want and you will also get lot of free ideas. Source: over 2 years ago
I actually did make a kit idea once and put it on the nolt.io page let me get it rq. Source: over 2 years ago
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 / 22 days ago
Open the camera feed — and use the OpenCV library for real-time computer vision processing. - Source: dev.to / about 2 months 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 / 7 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: 7 months ago
- [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: 11 months ago
Canny - Canny helps you collect and organize feature requests to better understand customer needs and prioritize your roadmap.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Upvoty - User feedback in 1 simple overview 🔥
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
UserVoice - UserVoice integrates easy-to-use feedback, helpdesk, and knowledge base management tools in one platform that empowers users to speak and companies to understand.
NumPy - NumPy is the fundamental package for scientific computing with Python