The IBM.WatsonDeveloperCloud is a core project of Watson SDK in .Net. The other Watson SDK in .Net service packages depend on this package.
IBM.WatsonDeveloperCloud.Conversation.v1 wraps the Watson Developer Cloud Conversation service (http://www.ibm.com/watson/developercloud/conversation.html)
IBM.WatsonDeveloperCloud.SpeechToText.v1 wraps the Watson Developer Cloud Speech To Text service (http://www.ibm.com/watson/developercloud/speech-to-text.html)
IBM.WatsonDeveloperCloud.VisualRecognition.v3 wraps the Watson Developer Cloud Visual Recognition service (http://www.ibm.com/watson/developercloud/visual-recognition.html)
IBM.WatsonDeveloperCloud.NaturalLanguageUnderstanding.v1 wraps the Watson Developer Cloud Natural Language Understanding service (http://www.ibm.com/watson/developercloud/natural-language-understanding.html)
IBM.WatsonDeveloperCloud.TextToSpeech.v1 wraps the Watson Developer Cloud Text To Speech service (http://www.ibm.com/watson/developercloud/text-to-speech.html)
IBM.WatsonDeveloperCloud.ToneAnalyzer.v3 wraps the Watson Developer Cloud Tone Analyzer service (http://www.ibm.com/watson/developercloud/tone-analyzer.html)
The IBM.WatsonDeveloperCloud is a core project of Watson SDK in .Net. The other Watson SDK in .Net service packages depend on this package.
IBM.WatsonDeveloperCloud.LanguageTranslator.v2 wraps the Watson Developer Cloud Language Translator service (http://www.ibm.com/watson/developercloud/language-translator.html)
IBM.WatsonDeveloperCloud.PersonalityInsights.v3 wraps the Watson Developer Cloud Personality Insights service (http://www.ibm.com/watson/developercloud/personality-insights.html)
IBM.WatsonDeveloperCloud.Discovery.v1 wraps the Watson Developer Cloud Discovery service (http://www.ibm.com/watson/developercloud/discovery.html)
IBM.WatsonDeveloperCloud.Assistant.v1 wraps the Watson Developer Cloud Assistant service (http://www.ibm.com/watson/developercloud/assistant.html)
IBM.Watson.ToneAnalyzer.v3 wraps the Watson Tone Analyzer service (http://www.ibm.com/watson/developercloud/tone-analyzer.html)
IBM.Watson.PersonalityInsights.v3 wraps the Watson Personality Insights service (http://www.ibm.com/watson/developercloud/personality-insights.html)
IBM.Watson.VisualRecognition.v3 wraps the Watson Visual Recognition service (http://www.ibm.com/watson/developercloud/visual-recognition.html)
IBM.WatsonDeveloperCloud.NaturalLanguageClassifier.v1 wraps the Watson Developer Cloud Natural Language Classifier service (http://www.ibm.com/watson/developercloud/natural-language-classifier.html)
IBM.Watson.NaturalLanguageClassifier.v1 wraps the Watson Natural Language Classifier service (http://www.ibm.com/watson/developercloud/natural-language-classifier.html)
IBM.Watson.CompareComply.v1 wraps the Watson Compare Comply service (http://www.ibm.com/watson/developercloud/compare-comply.html)
IBM.Watson.VisualRecognition.v4 wraps the Watson Visual Recognition service (http://www.ibm.com/watson/developercloud/visual-recognition.html)
IBM.WatsonDeveloperCloud.LanguageTranslator.v3 wraps the Watson Developer Cloud Language Translator service (http://www.ibm.com/watson/developercloud/language-translator.html)
IBM.WatsonDeveloperCloud.Assistant.v2 wraps the Watson Developer Cloud Assistant service (http://www.ibm.com/watson/developercloud/assistant.html)
IBM.Watson.Common is a library of functionality needed for SDKs generated using the IBM OpenApi SDK generator. The library has functionality specific for the generated SDK.
Microsoft.ML.Vision contains high level APIs for vision tasks like image classification.
IBM.Watson.Assistant.v2 wraps the Watson Assistant service (http://www.ibm.com/watson/developercloud/assistant.html)
SDK for MachineVision Client & Server development using OPC UA. The OPC UA Machine Vision Companion Specification defines a standardized information model for industrial vision systems, enabling seamless integration, control, and monitoring of vision applications in OPC UA environments. It provides a unified framework for exchanging inspection results, configuring vision systems, and ensuring interoperability between machine vision solutions and higher-level automation or enterprise systems.
IBM.Watson.SpeechToText.v1 wraps the Watson Speech To Text service (http://www.ibm.com/watson/developercloud/speech-to-text.html)
IBM.Watson.LanguageTranslator.v3 wraps the Watson Language Translator service (http://www.ibm.com/watson/developercloud/language-translator.html)
Windows redistributables for the ODModelBuilderTF library with TensorFlow 2.6.0 (second lib part)
IBM.Watson.NaturalLanguageUnderstanding.v1 wraps the Watson Natural Language Understanding service (http://www.ibm.com/watson/developercloud/natural-language-understanding.html)
IBM.Watson.Assistant.v1 wraps the Watson Assistant service (http://www.ibm.com/watson/developercloud/assistant.html)
Infer.NET is a .NET framework for machine learning. It provides state-of-the-art message-passing algorithms and statistical routines for performing Bayesian inference. It has applications in a wide variety of domains, including information retrieval, bioinformatics, epidemiology, vision, and many others.
FaceAiSharp allows you to work with face-related computer vision tasks easily. It currently provides face detection, face recognition, facial landmarks detection, and eye state detection functionalities. FaceAiSharp leverages publicly available pretrained ONNX models to deliver accurate and efficient results and offers a convenient way to integrate them into your .NET applications. Whether you need to find faces, recognize individuals, detect facial landmarks, or determine eye states, FaceAiSharp simplifies the process with its simple API. ONNXRuntime is used for model inference, enabling hardware acceleration were possible. All processing is done locally, with no reliance on cloud services. This is a bundle package that installs FaceAiSharp's managed code and multiple AI models in the ONNX format.
FaceAiSharp allows you to work with face-related computer vision tasks easily. It currently provides face detection, face recognition, facial landmarks detection, and eye state detection functionalities. FaceAiSharp leverages publicly available pretrained ONNX models to deliver accurate and efficient results and offers a convenient way to integrate them into your .NET applications. Whether you need to find faces, recognize individuals, detect facial landmarks, or determine eye states, FaceAiSharp simplifies the process with its simple API. ONNXRuntime is used for model inference, enabling hardware acceleration were possible. All processing is done locally, with no reliance on cloud services. This package contains just FaceAiSharp's managed code and does not include any ONNX models. Take a look at FaceAiSharp.Bundle for a batteries-included package with everything you need to get started.
FaceAiSharp allows you to work with face-related computer vision tasks easily. It currently provides face detection, face recognition, facial landmarks detection, and eye state detection functionalities. FaceAiSharp leverages publicly available pretrained ONNX models to deliver accurate and efficient results and offers a convenient way to integrate them into your .NET applications. Whether you need to find faces, recognize individuals, detect facial landmarks, or determine eye states, FaceAiSharp simplifies the process with its simple API. ONNXRuntime is used for model inference, enabling hardware acceleration were possible. All processing is done locally, with no reliance on cloud services. This package contains just FaceAiSharp's managed code and does not include any ONNX models. Take a look at FaceAiSharp.Bundle for a batteries-included package with everything you need to get started.
The Basler pylon .NET API provides a convenient object-oriented programming interface to access Basler cameras. This package allows you to build projects that use pylon .NET API features. To run the resulting program, the pylon Camera Software Suite has to be installed.
IBM.WatsonDeveloperCloud.CompareComply.v1 wraps the Watson Developer Cloud Compare Comply service (http://www.ibm.com/watson/developercloud/compare-comply.html)
OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products. Being an Apache 2 licensed product, OpenCV makes it easy for businesses to utilize and modify the code. The library has more than 2500 optimized algorithms, which includes a comprehensive set of both classic and state-of-the-art computer vision and machine learning algorithms. These algorithms can be used to detect and recognize faces, identify objects, classify human actions in videos, track camera movements, track moving objects, extract 3D models of objects, produce 3D point clouds from stereo cameras, stitch images together to produce a high resolution image of an entire scene, find similar images from an image database, remove red eyes from images taken using flash, follow eye movements, recognize scenery and establish markers to overlay it with augmented reality, etc. OpenCV has more than 47 thousand people of user community and estimated number of downloads exceeding 18 million. The library is used extensively in companies, research groups and by governmental bodies. Along with well-established companies like Google, Yahoo, Microsoft, Intel, IBM, Sony, Honda, Toyota that employ the library, there are many startups such as Applied Minds, VideoSurf, and Zeitera, that make extensive use of OpenCV. OpenCV’s deployed uses span the range from stitching streetview images together, detecting intrusions in surveillance video in Israel, monitoring mine equipment in China, helping robots navigate and pick up objects at Willow Garage, detection of swimming pool drowning accidents in Europe, running interactive art in Spain and New York, checking runways for debris in Turkey, inspecting labels on products in factories around the world on to rapid face detection in Japan. It has C++, Python, Java and MATLAB interfaces and supports Windows, Linux, Android and Mac OS. OpenCV leans mostly towards real-time vision applications and takes advantage of MMX and SSE instructions when available. A full-featured CUDAand OpenCL interfaces are being actively developed right now. There are over 500 algorithms and about 10 times as many functions that compose or support those algorithms. OpenCV is written natively in C++ and has a templated interface that works seamlessly with STL containers.
Windows redistributables for the ODModelBuilderTF library with TensorFlow 2.6.0 (first lib part)
IBM.Watson.TextToSpeech.v1 wraps the Watson Text To Speech service (http://www.ibm.com/watson/developercloud/text-to-speech.html)
IBM.Watson.Discovery.v1 wraps the Watson Discovery service (http://www.ibm.com/watson/developercloud/discovery.html)
IBM.Watson.Discovery.v2 wraps the Watson Discovery service (http://www.ibm.com/watson/developercloud/discovery.html)
IBM.WatsonDeveloperCloud.Conversation.v1 wraps the Watson Developer Cloud Conversation service (http://www.ibm.com/watson/developercloud/conversation.html)
Microsoft.ML.Vision contains high level APIs for vision tasks like image classification.
Windows redistributables for the ODModelBuilderTF library with object detection 2.6.0
TwinCAT HMI is a development environment for web-based HMIs (Human Machine Interfaces). This package provides the extension for the TwinCAT HMI Server to display TwinCAT 3 Vision images in the HMI Client.
Windows redistributables for the ODModelBuilderTF library with TensorFlow 2.6.0 compiled for CUDA 10.1