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相关概念视频

Acceleration Vectors01:30

Acceleration Vectors

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In everyday conversation, accelerating means speeding up. Acceleration is a vector in the same direction as the change in velocity, Δv, therefore the greater the acceleration, the greater the change in velocity over a given time. Since velocity is a vector, it can change in magnitude, direction, or both. Thus acceleration is a change in speed or direction, or both. For example, if a runner traveling at 10 km/h due east slows to a stop, reverses direction, and continues their run at 10 km/h...
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Parallel Processing01:20

Parallel Processing

145
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
145
Control Systems: Applications01:25

Control Systems: Applications

580
Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...
580
Vision01:24

Vision

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Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
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Fast Fourier Transform01:10

Fast Fourier Transform

281
The Fast Fourier Transform (FFT) is a computational algorithm designed to compute the Discrete Fourier Transform (DFT) efficiently. By breaking down the calculations into smaller, manageable sections, the FFT significantly reduces the computational complexity involved. Direct computation of an N-point DFT requires N2 complex multiplications, whereas the FFT algorithm needs only (N/2)log⁡2N multiplications, offering a much faster performance.
The computational efficiency of the FFT becomes...
281
Accelerators01:17

Accelerators

71
Accelerators in concrete serve as admixtures to speed up the hardening process, enabling the concrete to achieve early strength faster. Although accelerators do not necessarily impact the time it takes concrete to set, they reduce this time in practice. A common accelerator is calcium chloride, which is particularly useful for hastening early strength development in cold weather or for rapid repair jobs that require quick heat generation after mixing.
The effectiveness of calcium chloride can...
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相关实验视频

Updated: Jun 11, 2025

Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM
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Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM

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一个基于FPGA的YOLOv5加速器,用于实时工业视觉应用.

Zhihong Yan1,2, Bingqian Zhang1,2, Dong Wang1,2

  • 1Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China.

Micromachines
|September 28, 2024
PubMed
概括

我们为YOLOv5物体检测模型开发了一种新的4位量子化加速器,大大提高了工业应用的速度和效率. 这种新设计增强了实时处理,而不会影响准确度.

科学领域:

  • 计算机视觉 计算机视觉
  • 硬件加速器 硬件加速器
  • 深度学习 (Deep Learning) 是一种深度学习.

背景情况:

  • 你只看一次 (YOLO) 的物体检测网络因其速度和准确性在工业中广泛使用.
  • 现有的8位量子化FPGA加速器面临着满足更高性能需求的挑战.
  • 工业自动化需要更快,更准确的物体检测系统.

研究的目的:

  • 为YOLOv5模型介绍一种基于4位量子化的神经网络加速器.
  • 为了增强实时处理能力并保持高检测准确度.
  • 提高工业物体检测系统的性能和资源效率.

主要方法:

  • 为整个YOLO网络,包括第一层,实施了优化的4位量子化方案.
  • 开发了一个统一的数字信号处理器 (DSP) 包装方案.
  • 引入了一种新的平价增量树架构来支持量子化策略.

主要成果:

  • 在平均平均精度 (mAP) 中仅有1.5%的退化,实现了4位量化.
  • 通过拟议的硬件架构,将芯片上的DSP使用量减少50%.
  • 在FPGA加速器实现808.6GOPS吞吐量和0.49GOPS/DSP效率为YOLOv5s.
关键词:
4比特的4比特是什么意思在FPGA加速器上.这是一个YOLO YOLO.对象检测检测对象检测对象检测定量化定量化是什么

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Acquiring Fluorescence Time-lapse Movies of Budding Yeast and Analyzing Single-cell Dynamics using GRAFTS
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Acquiring Fluorescence Time-lapse Movies of Budding Yeast and Analyzing Single-cell Dynamics using GRAFTS

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High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
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High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

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相关实验视频

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Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM
07:19

Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM

Published on: June 28, 2017

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Acquiring Fluorescence Time-lapse Movies of Budding Yeast and Analyzing Single-cell Dynamics using GRAFTS
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Acquiring Fluorescence Time-lapse Movies of Budding Yeast and Analyzing Single-cell Dynamics using GRAFTS

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High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
11:34

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

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结论:

  • 拟议的4位量子化加速器显著提高了YOLOv5用于工业物体检测的性能.
  • 新型硬件架构在速度,效率和资源利用方面提供了实质性的改进.
  • 这项工作为下一代工业自动化提供了可行的解决方案,需要高性能实时对象检测.