Snack Slack Bot
Donut Slack Bot
Macarons
Catchup Rocks
GreetBot
Donut.ai
Micronet.social
Coffee Chat Slack
OpenCV
Pandas
Scikit-learn
NumPy
Dataiku
Exploratory
htm.java
Figure Eight
Virtual snack breaks that build authentic team relationships Have spontaneous, time-restricted video conversations with ice-breakers.
Snack introduces people in your Slack to have short video conversations with ice-breakers. Snack meetings have the same kind of joyful feeling that you experience when you meet and chat with someone new in the office hallway, by the water cooler or during a lunch break. We are your virtual office snack club.
Snack is 100% opt-in. Your team only gets notifications when they choose to participate by joining #snack-club channel. Learn how Snack works →
300+ teams are already using Snack, including Dell, IBM, Globant, University of California, AKQA, and Giphy.
Snack Slack Bot OpenCVNo Snack Slack Bot videos yet. You could help us improve this page by suggesting one.
Slack is the best tool I found to stay connected with my team across the globe. I've tried Donut too and Slack is 10x better in terms of speed, features and UI. This app has no competition.
I've tested Snack in a dozen Slack teams. It is the fastest way to make friends in a Slack organization.
Based on our record, OpenCV seems to be a lot more popular than Snack Slack Bot. While we know about 52 links to OpenCV, we've tracked only 1 mention of Snack Slack Bot. 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.
I've launched Snack at the beginning of the year. I had a big vision of how a simple Slack bot will grow to a remote culture building software handling everything from onboarding to insurance. It slowly grew to over 2000 companies trying Snack water cooler feature to spice things up. However, otherwise project stagnated since I simply do not have time to release new features or even answer support tickets. Source: about 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 / 15 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
Donut Slack Bot - Get matched with a new coffee buddy each week in Slack
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Macarons - Macarons is your virtual watercooler for casual conversations with colleagues you rarely meet on the hallway.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Catchup Rocks - Virtual coffee / watercooler chats for Slack.
NumPy - NumPy is the fundamental package for scientific computing with Python
