Based on our record, OpenCV should be more popular than AWS Chatbot. It has been mentiond 50 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.
For visibility of the pipelines I have set up a NotificationTopic , this topic is a SNS Topic that has AWS ChatBot as a subscriber. Chatbot will then send the updates to my Slack workspace that I have set up. This way when the pipeline is triggered I will get the notifications on my phone and laptop. - Source: dev.to / 4 months ago
Setup AWS Chatbot for best experience to get notified directly on Slack and MS Teams. - Source: dev.to / 9 months ago
AWS Chatbot: Monitor, operate, and troubleshoot your AWS resources with interactive ChatOps. - Source: dev.to / about 1 year ago
Meet AWS Chatbot. Interactive agent that makes it easier to monitor and interact with your Amazon Web Services (AWS) resources from your team’s Slack channels. By integrating AWS Chatbot with Slack, DevOps teams can receive real-time notifications, view incident details, and response incident quickly without need to cycle among other tools. - Source: dev.to / over 1 year ago
Modern machine learning algorithms are basically pattern recognition machines. They can recognize patterns in speech and can create convincing variations of that speech. Modern chatbot programs have become widely available to the public over the last decade. It's easy for anyone with a few hundred bucks to buy AWS Chatbot time and some basic programming knowledge to create a chatbot that could post convincingly... Source: over 1 year 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 / 5 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: 5 months ago
- [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: 9 months ago
I came across a very interesting [project]( (4) Mckay Wrigley on Twitter: "My goal is to (hopefully!) add my house to the dataset over time so that I have an indoor assistant with knowledge of my surroundings. It’s basically just a slow process of building a good enough dataset. I hacked this together for 2 reasons: 1) It was fun, and I wanted to…" / X ) made by Mckay Wrigley and I was wondering what's the easiest... Source: 9 months ago
You also need C++ if you're going to do things which aren't built in as part of the engine. As an example if you're looking at using compute shaders, inbuilt native APIs such as a mobile phone's location services, or a third-party library such as OpenCV, then you're going to need C++. Source: 11 months ago
ML5.js - Friendly machine learning for the web
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNets’ platform makes it straightforward and fast to create highly accurate Deep Learning models.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
AWS CodeCommit - AWS CodeCommit is a fully-managed source control service that makes it easy for companies to host secure private Git repositories.
NumPy - NumPy is the fundamental package for scientific computing with Python