Geekbot VS Scikit Image
Compare Geekbot VS Scikit Image and see what are their differences
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Geekbot
Standuply
Sup! Standup Bot
Chili Piper
MeetNotes
Doodle
Acuity Scheduling
Standup Bot
Scikit Image
OpenCV
Microsoft Computer Vision API
Amazon Rekognition
SimpleCV
Microsoft Video API
Clarifai
Google Vision AI
Geekbot Scikit ImageBased on our record, Geekbot should be more popular than Scikit Image. It has been mentiond 13 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.
We think GitReport could replace standup apps like Geekbot. So we're making it into a product. More Git features are coming, like tracking issues and pull requests. Source: 8 months ago
We run standups every day, however only 2x of them are a Teams call. The other 3 are run using a tool called Geekbot (Yes scrum masters do hate this) which is basically just a chatbot that sends you the standard standup questions and you can answer whenever you feel like it. This has helped our team heaps due to having such a huge mix of people in our team (Cloud Eng, Database Eng, Software Eng, Network Eng) that... Source: 12 months ago
My new job recently pulled in https://geekbot.com/ to handle stand ups. Answer a couple basic questions when you login, and they’re all sent to a central channel. I’m not big on that type of communication in general, but it takes maybe 30 seconds each morning. Source: about 1 year ago
We use Geekbot to help standups. The feedback from each dev goes into a channel, then we talk about things that need to be addressed or things we're working on. Source: over 1 year ago
Back in 2005, I remember working on startups running on Scrum principles. It worked well at the time, we where able to ship, grow the team, and move forward with a nice few-features-per-week cadence, working remotely, on a small team; less than 10. Tt always worked fine, but very slow, as all-dev-things were at the time. I worked with ActiveColab in 2007, Skype 2007, Yammer 2009, Trello 2011, Pivotal Tracker 2013,... - Source: Hacker News / over 1 year ago
We will use the Hugging Face transformers and diffusers libraries for inference, FiftyOne for data management and visualization, and scikit-image for evaluation metrics. - 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 / 6 months ago
This is a good cv deep learning book with python examples https://www.manning.com/books/deep-learning-for-vision-systems. If you're pretty comfortable with the concepts of traditional image processing this is a good companion to cv2 (so you don't have to reinvent the wheel) https://scikit-image.org/. Source: over 1 year ago
Also, don't know if you're familiar with Python, but if you need ideas for to implement for future directions : https://scikit-image.org/. Source: over 1 year ago
There's probably something in scikit-image to do what you want, or close enough to build on. Source: about 2 years ago
Standuply - Run daily standup meetings and track your metrics in Slack
OpenCV - OpenCV is the world's biggest computer vision library
Sup! Standup Bot - The complete stand-up and follow-up bot
Microsoft Computer Vision API - Extract rich information from images and analyze content with Computer Vision, an Azure Cognitive Service.
Chili Piper - Chili Piper is an intelligent calendar for Sales teams, to book their own meetings or set appointments for other teams.
Amazon Rekognition - Add Amazon's advanced image analysis to your applications.