Leanbe.ai
productboard
Roadmap
Canny
Poda
Waymark
AnnounceKit
ProductFlare
OpenCV
Pandas
Scikit-learn
NumPy
Dataiku
Exploratory
htm.java
Figure Eight
Have you ever built a product feature that simply didn't meet your users' expectations or real needs? We have, too. That's why we created Leanbe. It is a smart tool covering all the 3 steps in the product development cycle: feedback collection, roadmap generation and user notification. Thus the full loop of data collection, analysis and planning the future actions is based on a data-driven and user-oriented approach. Leanbe is a platform that helps collect feedback & feature requests, generate a roadmap & notify users about releases and updates.
Leanbe.ai OpenCVNo features have been listed yet.
Based on our record, OpenCV should be more popular than Leanbe.ai. 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.
A lot of times here in this subreddit we talked about Beupify and finally me, with the team worked on your feedback and we would have absolutely different and new website just in 2 weeks. I am here to ask you again for feedback as there is left not that much time so we can implement other suggestions as well. For the ones who are not familiar with the tool, I would love to mention that it was only a tool to... Source: about 3 years ago
If it's not against the tools of the subreddit - you can check the website and give me some advice if possible. Source: about 3 years ago
Guys, you were writing me about the startup - here is it https://beupify.com/. Source: about 3 years ago
You can check out the tool, and ping me if you have any questions! Source: about 3 years ago
Here are some tips that helped us to scale our business. P.S The tool is Beupify which is an all-in-one solution for the release notes :). Source: over 3 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 / 19 days ago
Open the camera feed — and use the OpenCV library for real-time computer vision processing. - Source: dev.to / about 1 month 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
productboard - Beautiful and powerful product management.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Roadmap - Collision avoidance for projects and people
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Canny - Canny helps you collect and organize feature requests to better understand customer needs and prioritize your roadmap.
NumPy - NumPy is the fundamental package for scientific computing with Python