Rosepetal AI Integrations

An end-to-end open source machine learning platform. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging. Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use. A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster. Build, deploy, and experiment easily with TensorFlow.

NVIDIA TensorRT is an ecosystem of APIs for high-performance deep learning inference, encompassing an inference runtime and model optimizations that deliver low latency and high throughput for production applications. Built on the CUDA parallel programming model, TensorRT optimizes neural network models trained on all major frameworks, calibrating them for lower precision with high accuracy, and deploying them across hyperscale data centers, workstations, laptops, and edge devices. It employs techniques such as quantization, layer and tensor fusion, and kernel tuning on all types of NVIDIA GPUs, from edge devices to PCs to data centers. The ecosystem includes TensorRT-LLM, an open source library that accelerates and optimizes inference performance of recent large language models on the NVIDIA AI platform, enabling developers to experiment with new LLMs for high performance and quick customization through a simplified Python API.

The most flexible data annotation tool. Quickly installable. Build custom UIs or use pre-built labeling templates. Configurable layouts and templates adapt to your dataset and workflow. Detect objects on images, boxes, polygons, circular, and key points supported. Partition the image into multiple segments. Use ML models to pre-label and optimize the process. Webhooks, Python SDK, and API allow you to authenticate, create projects, import tasks, manage model predictions, and more. Save time by using predictions to assist your labeling process with ML backend integration. Connect to cloud object storage and label data there directly with S3 and GCP. Prepare and manage your dataset in our Data Manager using advanced filters. Support multiple projects, use cases, and data types in one platform. Start typing in the config, and you can quickly preview the labeling interface. At the bottom of the page, you have live serialization updates of what Label Studio expects as an input.

IMPACT Software Suite, with over 120 inspection tools and 50 user interface controls, allows users to create unique inspection programs and develop user interfaces quickly and easily. All this can be done without the loss of flexibility, like traditional configurable systems, or the need for vast amounts of development time. IMPACT Software Suite also provides a Software Development Kit (SDK) that guarantees full integration of machine vision monitoring capabilities into HMI software applications. Vision Program Manager (VPM) provides hundreds of image processing and analysis functions. Use VPM to enhance images, locate features, measure objects, check for presence or absence, and read text and bar codes. Control Panel Manager (CPM) simplifies development of operator interfaces with the ability to make on-the-fly adjustments to critical machine controls. CPM creates operator interface panels to view and adjust critical machine controls. IMPACT Software Development Kit (SDK) consists of

Ultralytics offers a full-stack vision-AI platform built around its flagship YOLO model suite that enables teams to train, validate, and deploy computer-vision models with minimal friction. The platform allows you to drag and drop datasets, select from pre-built templates or fine-tune custom models, then export to a wide variety of formats for cloud, edge or mobile deployment. With support for tasks including object detection, instance segmentation, image classification, pose estimation and oriented bounding-box detection, Ultralytics’ models deliver high accuracy and efficiency and are optimized for both embedded devices and large-scale inference. The product also includes Ultralytics HUB, a web-based tool where users can upload their images/videos, train models online, preview results (even on a phone), collaborate with team members, and deploy via an inference API.

Cognex VisionPro is the leading PC-based vision software. It is designed to setup and deploy vision applications—no matter the camera or frame grabber. With VisionPro, users can perform a wide range of functions, from geometric object location and inspection to identification, measurement, and alignment, as well as specialized functions specific to semiconductor and electronics applications.

CX-Programmer, the programming software for all Omron's PLC series, is fully integrated into the CX-One software suite. CX-Programmer includes a wide variety of features to speed up the development of your PLC program. New parameter-setting dialogues reduce setup time, and with standard function blocks in IEC 61131-3 structured text or conventional ladder language, CX-Programmer makes the development of PLC programs a simple drag & drop configuration. Create advanced programs using data blocks of identical data types (Arrays), or different data types (Structures). Member symbols of the new User Defined Type can be simply accessed from the program. Symbol creation becomes quicker as memory allocation and management is automatic, and you can easily monitor all member symbols in the Watch Window just by using their name. Using Structures and Arrays as In / Out variables for a Function Block provides simple passing of many parameters in a uniform layout.

PaddlePaddle is based on Baidu's years of deep learning technology research and business applications and integrates deep learning core framework, basic model library, end-to-end development kit, tool components and service platform. It was officially open-sourced in 2016 and is a comprehensive An industry-level deep learning platform with open source, leading technology, and complete functions. The flying paddle is derived from industrial practice and has always been committed to in-depth integration with the industry. At present, flying paddles have been widely used in industry, agriculture, and service industries, serving 3.2 million developers, and working with partners to help more and more industries complete AI empowerment.