Deploy pre-built tools that crawl websites, extract structured data, and feed your applications. Reliable web data without maintaining scrapers.
Automate web data collection with cloud tools that handle anti-bot measures, browser rendering, and data transformation out of the box. Extract content from any website, push to vector databases for RAG workflows, or pipe directly into your apps via API. Schedule runs, set up webhooks, and connect to your existing stack. Free tier available, then scale as you need to.
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Create and run cloud-based virtual machines.
Secure and customizable compute service that lets you create and run virtual machines.
Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
Capture and control API for IIDC compliant cameras
libdc1394 is a library that provides a high level programming interface for application developers who wish to control and capture streams from IEEE 1394 based cameras that conform to the 1394-based Digital Camera Specifications (also known as the IIDC or DCAM Specifications). libdc1394 also supports some USB cameras that are IIDC compliant.
Besides capture and control, libdc1394 provides a full set of colour space conversion functions (including RAW decoding), vendor specific functions...
LED Color Control System for RaspberryPi and Dreambox
This project is about a light controlling system with a 4 RGB-LED channels to run different modes:
• autonomously w/o PC performing HSI2RGB transformations and running through the color hues (with dimmable brightness)
• remote operated by PC or embedded user software using the provided C++ Software library (based on Boost libraries)
• ideal platform for color experiments with your RaspberryPi
The system consists of 4 layers:
• PCB with Atmel ATmega16 and FT232RL USB interface...