Amazon SES might be a bit more popular than OpenCV. We know about 66 links to it since March 2021 and only 51 links to OpenCV. 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.
Amazon SES (Simple Email Service) offers the most simple and low-level transactional email service. For its robust infrastructure and reliable delivery, it’s trusted by giants like Netflix, Reddit, and Duolingo. Amazon SES focuses on the technical side of email sending and offers only a very basic dashboard. As it is more a developer tool than an end-to-end product, it’s suitable for integrations with robust... - Source: dev.to / about 5 hours ago
Formspark is a great service for this with a generous free tier. If you end up scaling up and need more and/or advanced transactional emails you may consider an email API like SendGrid, Amazon SES, or Waypoint. Source: 7 months ago
AWS Simple Email Service (SES) touts itself as "a cost-effective, flexible, and scalable email service". It's a product offering from Amazon Web Services and is designed to send high volumes of transactional emails. AWS SES is lighter on features than some of the other services we're comparing in this list, but if you're already deployed within AWS or use any other products within the AWS suite it might be worth... - Source: dev.to / 7 months ago
You can self host email if you really want to, but it's really more trouble than it's worth. If you do self host, you have to worry about the consequences of missed emails if your server or Internet ever goes down, and you'll have to use someone else's SMTP server if you don't want your emails to go directly to spam. The cheapest good SMTP server is Amazon SES, which I believe is $0.10 per 10k emails. I've been... Source: 11 months ago
I only run a forwarding mail server, nothing to host my own mail. I use Amazon's Simple Email Service to relay emails from my various services. Source: 11 months ago
Open the camera feed — and use the OpenCV library for real-time computer vision processing. - Source: dev.to / about 16 hours 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: 6 months ago
- [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: 10 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: 10 months ago
SendGrid - Learn why more developers choose SendGrid for their email deliverability service to send transactional emails triggered by web apps. Get started for free
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Mailgun - A set of powerful APIs that enable you to send, receive and track email from your app effortlessly whether you use Python, Ruby, PHP, C#, Node.js or Java.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Postmark - Postmark is the easiest and most reliable way to be sure your important transactional emails get to the inbox. Simply & reliably parse recieved email to JSON for your webapp.
NumPy - NumPy is the fundamental package for scientific computing with Python