Based on our record, OpenCV seems to be a lot more popular than Chili Piper. While we know about 52 links to OpenCV, we've tracked only 2 mentions of Chili Piper. 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.
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 / 20 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
Our team at Chili Piper has recently started migrating our backend to a microservices architecture. As a front-end developer, I've been documenting my journey and insights while tackling the challenge of handling aggregated data in this new scenario. - Source: dev.to / over 1 year ago
Head Sales Rep. ~ Love my job and sometimes it scares me most because I get anxious all the time especially when clients just email me for meetings and booked in 10 minutes.. I know it's my job to handle meetings and all but I hope they sometimes value someone's time. So what I do before every meeting is drink tea and meditate for a 10 or so talk to my plants and chill with my pets, also using chilipiper so that... Source: about 3 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Geekbot - Discover how to organise asynchronous stand up meetings in Slack and keep your team synced using Geekbot. Start your free trial today!
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
MeetNotes - Increase Productivity with Meeting Notes Tool. More effective minutes, Prepare Agenda, Collaborative Notes & Action Items.
NumPy - NumPy is the fundamental package for scientific computing with Python
Standuply - Run daily standup meetings and track your metrics in Slack