#python #artificial_intelligence #audio_processing #deep_learning #deeplearning #embeddings #encodings #image2vec #machine_learning #neural_network #pytorch #tensorflow #tfhub #transformers #vector #vector_similarity #video_processing #word2vec

https://github.com/vector-ai/vectorhub

#rust #fpv #gopro #gpu_computing #gyroscope #insta360 #rolling_shutter_undistortion #sony_alpha_cameras #stabilization #video_processing

https://github.com/gyroflow/gyroflow

#python #computer_vision #convolutional_networks #embedding_vectors #embeddings #feature_extraction #feature_vector #image_processing #image_retrieval #machine_learning #milvus #pipeline #towhee #transformer #unstructured_data #video_processing #vision_transformer #vit

https://github.com/towhee-io/towhee

#cplusplus #ai #behaviour_analysis #cv #deep_learning #deepstream #face_recognition #feature_extraction #gstreamer #image_classification #image_enhancement #image_segmentation #license_plate_recognition #object_detection #opencv #reid #similarity_search #video_analysis #video_processing

https://github.com/sherlockchou86/VideoPipe

#python #classification #coco #computer_vision #deep_learning #hacktoberfest #image_processing #instance_segmentation #low_code #machine_learning #metrics #object_detection #oriented_bounding_box #pascal_voc #python #pytorch #tensorflow #tracking #video_processing #yolo

Supervision is a powerful tool for building computer vision applications. It allows you to easily load datasets, draw detections on images or videos, and count detections in specific zones. You can use any classification, detection, or segmentation model with it, and it has connectors for popular libraries like Ultralytics and Transformers. Supervision also offers customizable annotators to visualize your data and utilities to manage datasets in various formats. By using Supervision, you can streamline your computer vision projects and make them more reliable and efficient. Additionally, there are extensive tutorials and documentation available to help you get started quickly.

https://github.com/roboflow/supervision

#cplusplus #android #audio_processing #c_plus_plus #calculator #computer_vision #deep_learning #framework #graph_based #graph_framework #inference #machine_learning #mediapipe #mobile_development #perception #pipeline_framework #stream_processing #video_processing

MediaPipe is a tool that helps you add smart machine learning features to your apps and devices. It works on mobile, web, desktop, and other devices. You can use pre-made solutions for tasks like vision, text, and audio processing, or customize the models to fit your needs. MediaPipe also offers tools like Model Maker and Studio to help you create and test your solutions easily. This makes it easier to delight your customers with innovative features without needing deep machine learning expertise.

https://github.com/google-ai-edge/mediapipe

#rust #fpv #gopro #gpu #gpu_computing #gyroscope #insta360 #rolling_shutter_undistortion #rust #sony_alpha_cameras #stabilization #video #video_processing

Gyroflow is a powerful video stabilization software that uses gyroscope data from cameras like GoPro, Sony, and Insta360 to make your videos smooth and steady. It corrects lens distortion, rolling shutter effects, and can even level the horizon for a professional look. You can preview changes in real-time, use GPU acceleration for fast processing, and apply stabilization directly in popular video editors with plugins. It supports many video formats and works on Windows, Mac, Linux, Android, and iOS. Using Gyroflow helps you create high-quality, cinematic videos without bulky equipment or complicated setups[1][3][5].

https://github.com/gyroflow/gyroflow

#python #ai #context #embedded #faiss #knowledge_base #knowledge_graph #llm #machine_learning #memory #nlp #offline_first #opencv #python #rag #retrieval_augmented_generation #semantic_search #vector_database #video_processing

Memvid lets you store millions of text pieces inside a single MP4 video file using QR codes, making your data 50-100 times smaller than usual databases. You can search this video instantly in under 100 milliseconds without needing servers or internet after setup. It works offline, is easy to use with simple Python code, and supports PDFs and chat with your data. The upcoming version 2 will add features like continuous memory updates, shareable capsules, fast local caching, and better video compression, making your AI memory smarter, faster, and more flexible. This means you get a powerful, portable, and efficient way to manage and search huge knowledge bases quickly and easily.

https://github.com/Olow304/memvid