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PixLab| Categories |
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| Website | pixlab.io |
| Pricing URL | Official PixLab Pricing |
| Details $ |
OpenCV| Categories |
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| Website | opencv.org |
| Pricing URL | - |
| Details $ |
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Based on our record, OpenCV seems to be a lot more popular than PixLab. While we know about 50 links to OpenCV, we've tracked only 3 mentions of PixLab. 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.
In this blog post, I will show you a live demo and how you can implement this in your Nextjs/React app using PixLab's powerful computer vision APIs. - Source: dev.to / 3 months ago
PixLab (https://pixlab.io) & FACEIO (https://faceio.net) | Full-or-part-time | Remote | Computer Vision / Full stack Engineers | PixLab, a leading provider of Machine Vision, Face Recognition & Media Processing APIs is looking for: * Embedded C & Computer Vision engineer(s) to work on the SOD (https://sod.pixlab.io), embedded computer vision library. * Senior Python engineer with proficiency in PyTorch to work on... - Source: Hacker News / 8 months ago
We are pleased to introduce FACEIO, a product developed from scratch here at PixLab in the past few years. We look forward to hear your thoughts about this... - Source: dev.to / almost 2 years 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 / 4 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
OpenFace - OpenFace is an open source face recognition solution with deep neural networks.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Sightcorp - Sightcorp’s F.A.C.E. API is an cloud analysis engine for automated emotional expression detection.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Amazon Rekognition - Add Amazon's advanced image analysis to your applications.
NumPy - NumPy is the fundamental package for scientific computing with Python
