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Based on our record, OpenCV should be more popular than Stripe: Radar. 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.
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: 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
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: 12 months ago
Using Stripes Advanced Fraud protection to keep you and your money safe,. Source: over 1 year ago
They should use their credit card processor's fraud detection. For example, Stripe has Stripe Radar: https://stripe.com/radar. Source: almost 2 years ago
Stripe Radar is the main tool used to do this, you can check it out here to get more detail: https://stripe.com/radar. Source: over 2 years ago
Usually, these online merchants (Netflix, Spotify, etc.) uses the same payment gateway. They're likely using Stripe. Once one merchant reports your card as "fraud" or detects unusual activity, it will be labeled as "high risk". Stripe will take note of that and will block the same card whenever it is used on other merchants. It's a security feature Stipe implements that work well for both the merchant and customer. Source: over 2 years ago
Stripe also has a division called Radar that would benefit from Databricks' expertise. However, does Stripe need to acquire/partner with Databricks for this or is just being a customer enough? Source: about 3 years ago
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Sift - Digital Trust & Safety enables your business to grow, innovate, introduce new products, features, and business models – without increased risk.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Stripe Chargeback Protection - Defend your business from the unpredictability of disputes
NumPy - NumPy is the fundamental package for scientific computing with Python
Chargeback - Ditch the manual work needed to manage disputes