Results for: shutter encoder
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Video Converter Software
Video converter software, also known as video encoding or video transcoding software, allows users to convert video files from one format to another, ensuring compatibility with various devices, platforms, or media players. These platforms typically support a wide range of video formats, such as MP4, AVI, MOV, MKV, and more, enabling users to adjust resolution, bitrate, and other settings during the conversion process. Video converter software often includes additional features like batch conversion, video trimming, and audio extraction, allowing for greater flexibility. By using this software, users can efficiently prepare videos for different uses, whether for sharing, editing, or playback on various devices.
Artificial Intelligence Software
Artificial Intelligence (AI) software is computer technology designed to simulate human intelligence. It can be used to perform tasks that require cognitive abilities, such as problem-solving, data analysis, visual perception and language translation. AI applications range from voice recognition and virtual assistants to autonomous vehicles and medical diagnostics.
19 Products for "shutter encoder" with 2 filters applied:
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1
Shutter Studio
Shutter Studio
Use your phone to remotely connect with professional photographers. The client or model installs Shutter app onto a smartphone which will be used for their virtual photo shoot. After the virtual photo shoot the photographer downloads their high-resolution images from Shutter app portal. Images can be retouched and sent back to the client through Shutter app portal. The service allows photographers to build a global portfolio, attracting new clients worldwide and increasing their income and profit margins. ... -
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Universal Sentence Encoder
Tensorflow
The Universal Sentence Encoder (USE) encodes text into high-dimensional vectors that can be utilized for tasks such as text classification, semantic similarity, and clustering. It offers two model variants: one based on the Transformer architecture and another on Deep Averaging Network (DAN), allowing a balance between accuracy and computational efficiency. The Transformer-based model captures context-sensitive embeddings by processing the entire input sequence simultaneously, while the DAN-based model computes embeddings by averaging word embeddings, followed by a feedforward neural network. ... -
3
Mu
Microsoft
Mu is a 330-million-parameter encoder–decoder language model designed to power the agent in Windows settings by mapping natural-language queries to Settings function calls, running fully on-device via NPUs at over 100 tokens per second while maintaining high accuracy. Drawing on Phi Silica optimizations, Mu’s encoder–decoder architecture reuses a fixed-length latent representation to cut computation and memory overhead, yielding 47 percent lower first-token latency and 4.7× higher decoding speed on Qualcomm Hexagon NPUs compared to similar decoder-only models. ... -
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Whisper
OpenAI
...We are open-sourcing models and inference code to serve as a foundation for building useful applications and for further research on robust speech processing. The Whisper architecture is a simple end-to-end approach, implemented as an encoder-decoder Transformer. Input audio is split into 30-second chunks, converted into a log-Mel spectrogram, and then passed into an encoder. -
5
MonoQwen-Vision
LightOn
...MonoQwen2-VL-v0.1 addresses these limitations by leveraging Visual Language Models (VLMs) that process images directly, eliminating the need for OCR and preserving the integrity of visual content. This reranker operates in a two-stage pipeline, initially, it uses separate encoding to generate a pool of candidate documents, followed by a cross-encoding model that reranks these candidates based on their relevance to the query. By training a Low-Rank Adaptation (LoRA) on top of the Qwen2-VL-2B-Instruct model, MonoQwen2-VL-v0.1 achieves high performance without significant memory overhead. -
6
DeepInspect
SwitchOn, Inc
...DeepInspect leverages cutting-edge deep learning and computer vision to deliver high-speed, accurate inspections for a wide range of products such as glass bottles, capsules, and seals. The system supports over 1000 parts per minute using up to eight industrial cameras with various resolutions and shutter types. It features a no-code setup, enabling manufacturers to deploy inspections quickly without the need for data science expertise. DeepInspect integrates smoothly with industrial equipment from Siemens, Delta, Omron, and Mitsubishi, offering real-time traceability and analytics to optimize production quality. With 24/7 support and industrial-grade hardware, SwitchOn ensures reliability and long-term operation in demanding manufacturing environments. -
7
Seed-Music
ByteDance
Seed-Music is a unified framework for high-quality and controlled music generation and editing, capable of producing vocal and instrumental works from multimodal inputs such as lyrics, style descriptions, sheet music, audio references, or voice prompts, and of supporting post-production editing of existing tracks by allowing direct modification of melodies, timbres, lyrics, or instruments. It combines autoregressive language modeling with diffusion approaches and a three-stage pipeline comprising representation learning (which encodes raw audio into intermediate representations, including audio tokens, symbolic music tokens, and vocoder latents), generation (which transforms these multimodal inputs into music representations), and rendering (which converts those representations into high-fidelity audio). The system supports lead-sheet to song conversion, singing synthesis, voice conversion, audio continuation, style transfer, and fine-grained control over music structure. -
8
MedGemma
Google DeepMind
...Developers can use MedGemma to accelerate building healthcare-based AI applications. MedGemma currently comes in two variants: a 4B multimodal version and a 27B text-only version. MedGemma 4B utilizes a SigLIP image encoder that has been specifically pre-trained on a variety of de-identified medical data, including chest X-rays, dermatology images, ophthalmology images, and histopathology slides. Its LLM component is trained on a diverse set of medical data, including radiology images, histopathology patches, ophthalmology images, and dermatology images. ... -
9
Pinecone Rerank v0
Pinecone
Pinecone Rerank V0 is a cross-encoder model optimized for precision in reranking tasks, enhancing enterprise search and retrieval-augmented generation (RAG) systems. It processes queries and documents together to capture fine-grained relevance, assigning a relevance score from 0 to 1 for each query-document pair. The model's maximum context length is set to 512 tokens to preserve ranking quality.Starting Price: $25 per month -
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NVIDIA DeepStream SDK
NVIDIA
NVIDIA's DeepStream SDK is a comprehensive streaming analytics toolkit based on GStreamer, designed for AI-based multi-sensor processing, including video, audio, and image understanding. It enables developers to create stream-processing pipelines that incorporate neural networks and complex tasks like tracking, video encoding/decoding, and rendering, facilitating real-time analytics on various data types. DeepStream is integral to NVIDIA Metropolis, a platform for building end-to-end services that transform pixel and sensor data into actionable insights. The SDK offers a powerful and flexible environment suitable for a wide range of industries, supporting multiple programming options such as C/C++, Python, and Graph Composer's intuitive UI. ... -
11
Arctic Embed 2.0
Snowflake
...Building upon the robust foundation of previous releases, Arctic Embed 2.0 supports multiple languages, enabling developers to create stream-processing pipelines that incorporate neural networks and complex tasks like tracking, video encoding/decoding, and rendering, facilitating real-time analytics on various data types. The model leverages Matryoshka Representation Learning (MRL) for efficient embedding storage, allowing for significant compression with minimal quality degradation. This advancement ensures that enterprises can handle demanding workloads such as training large-scale models, fine-tuning, real-time inference, and high-performance computing tasks across diverse languages and regions.Starting Price: $2 per credit -
12
WebOrion Protector Plus
cloudsineAI
...At the core of its capabilities is ShieldPrompt, a multi-layered defense system that utilizes context evaluation through LLM analysis of user prompts, canary checks by embedding fake prompts to detect potential data leaks, pand revention of jailbreaks using Byte Pair Encoding (BPE) tokenization with adaptive dropout. -
13
Depthify
Depthify
...We first run a monocular depth network which predicts the metric depth of each pixel in each image. Next, we convert the RGB and depth images into the left and right eyes of a stereo image. Finally, we encode the results into either an .HEIC image or MV-HEVC video which can be viewed on the Apple Vision Pro or Meta Quest. Converting RGB images to spatial photos is useful for various computer vision and 3D modeling applications. It enables the creation of depth maps, stereo images, and HEIC files for use with Apple Vision Pro and Meta Quest. ... -
14
Klee
Klee
...This means you can keep sensitive data on-premises while leveraging it to enhance the model‘s response capabilities. To implement RAG locally, you first need to segment documents into smaller chunks and then encode these chunks into vectors, storing them in a vector database. These vectorized data will be used for subsequent retrieval processes. When a user query is received, the system retrieves the most relevant chunks from the local knowledge base and inputs these chunks along with the original query into the LLM to generate the final response. ... -
15
MiniMax Audio
MiniMax Audio
...Users can quickly generate lifelike audio samples via long-text mode, URL input, or voice cloning, capturing a unique voice in as little as 10 seconds, without needing transcription. The underlying technology incorporates cutting-edge AI such as transformer-based TTS models, a learnable speaker encoder, and Flow-VAE architectures, enabling zero- or one-shot voice cloning with high fidelity and expressive control, and it ranks at the top of public voice cloning benchmarks.Starting Price: Free -
16
JDeli
IDR Solutions
...Here’s an overview of its features: -Wide Image Format Support: JDeli reads/writes BMP, GIF, HEIC, JPEG, JPEG2000, PNG, TIFF, and WebP. It also reads DICOM, EMF/WMF, PSD, and SGI formats. -High Performance: JDeli’s encoders and decoders outperform alternatives, making it ideal for performance-critical applications. -File Security: JDeli operates securely on your servers, with no callbacks or cloud access. Critical customer data remains secure. -Ongoing Development: JDeli offers nightly and stable builds with regular new features. It continues to expand its range of supported image formats, including AVIF, HEIC, and JPEG XL. ...Starting Price: $1600 per year -
17
Seed3D
ByteDance
Seed3D 1.0 is a foundation-model pipeline that takes a single input image and generates a simulation-ready 3D asset, including closed manifold geometry, UV-mapped textures, and physically-based rendering material maps, designed for immediate integration into physics engines and embodied-AI simulators. It uses a hybrid architecture combining a 3D variational autoencoder for latent geometry encoding, and a diffusion-transformer stack to generate detailed 3D shapes, followed by multi-view texture synthesis, PBR material estimation, and UV texture completion. The geometry branch produces watertight meshes with fine structural details (e.g., thin protrusions, holes, text), while the texture/material branch yields multi-view consistent albedo, metallic, and roughness maps at high resolution, enabling realistic appearance under varied lighting. ... -
18
Qwen3-VL
Alibaba
...Qwen3-VL delivers major advances in spatial reasoning, visual perception, and multimodal reasoning; the model architecture incorporates several innovations such as Interleaved-MRoPE (for robust spatio-temporal positional encoding), DeepStack (to leverage multi-level features from its Vision Transformer backbone for refined image-text alignment), and text–timestamp alignment (for precise reasoning over video content and temporal events). These upgrades enable Qwen3-VL to interpret complex scenes, follow dynamic video sequences, read and reason about visual layouts.Starting Price: Free -
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Amazon EC2 G4 Instances
Amazon
Amazon EC2 G4 instances are optimized for machine learning inference and graphics-intensive applications. It offers a choice between NVIDIA T4 GPUs (G4dn) and AMD Radeon Pro V520 GPUs (G4ad). G4dn instances combine NVIDIA T4 GPUs with custom Intel Cascade Lake CPUs, providing a balance of compute, memory, and networking resources. These instances are ideal for deploying machine learning models, video transcoding, game streaming, and graphics rendering. G4ad instances, featuring AMD Radeon...
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