Canny VS OpenCV
Compare Canny VS OpenCV and see what are their differences
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives.
featured
Canny
Upvoty
Nolt
productboard
UserVoice
Feedback Fish
FeedBear
hellonext.co
OpenCV
Pandas
Scikit-learn
NumPy
Dataiku
Exploratory
htm.java
Figure Eight
Canny OpenCVOpenCV might be a bit more popular than Canny. We know about 52 links to it since March 2021 and only 41 links to Canny. 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.
This is a slightly different feature set, but being more customer feedback centric rather than OKR centric might be worth considering: https://canny.io/. Source: 7 months ago
Solutions like canny.io makes >$2M in ARR. My aim is to create product combining some features from canny and wiredash. Source: 7 months ago
Researched the market and found https://wiredash.io/ - which is great tool, but it costs so much. 99 usd monhtly is.... 5 hours of work in Poland, where I live. Also I want to share project roadmap with my users inside it. Something like https://canny.io/ integrated into app. Source: 7 months ago
Canny | Software Engineer | REMOTE | Full-time | https://canny.io Canny helps software companies keep track of feature requests to build better products. * Early-stage startup, 17 person team, $3m+ annual recurring revenue * 100% remote, distributed across US, Canada, Spain, Turkey * Bootstrapped and profitable https://careers.canny.io/?utm_source=hn Why work at Canny: https://canny.io/blog/work-at-canny/. - Source: Hacker News / 8 months ago
Please don't ask me to raise this on canny.io, this is not a feature request. I just want to know you either already know about it, or you will take this info and create your own task to sort it out. Neither should you ask me for screen images as this is a obvious issue found after a few minutes of playing with the functionality. Source: 9 months 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 / 17 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
Upvoty - User feedback in 1 simple overview 🔥
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Nolt - A fast & beautiful way to collect user feedback
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
productboard - Beautiful and powerful product management.
NumPy - NumPy is the fundamental package for scientific computing with Python