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Awesome GitHub RepositoriesVariable Batch Processing
Techniques for handling groups of images with differing dimensions within a single GPU batch.
Distinct from Image Processing: Distinct from general image processing by specifically optimizing throughput for variable-sized input batches.
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Awesome Variable Batch Processing GitHub Repositories
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- dusty-nv/jetson-inference
dusty-nv/jetson-inference
8,734Vezi pe GitHubjetson-inference is a set of libraries and tools for executing optimized deep learning models on embedded GPU hardware. Its primary purpose is to enable real-time computer vision and AI inference at the edge with low latency and high throughput. The project distinguishes itself through high-performance streaming analytics and the ability to execute concurrent AI pipelines on auto-grade silicon. It provides specialized support for multi-sensor stream processing, utilizing zero-copy data transport to load camera frames directly into GPU memory. The codebase covers a broad surface of capabiliti
Provides the ability to process image batches with varying dimensions to optimize GPU throughput.
C++caffecomputer-visiondeep-learning
