This is the Windows app named CAM whose latest release can be downloaded as CAMsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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Wine 是一种在 Linux 上运行 Windows 软件的方法，但不需要 Windows。 Wine 是一个开源的 Windows 兼容层，可以直接在任何 Linux 桌面上运行 Windows 程序。 本质上，Wine 试图从头开始重新实现足够多的 Windows，以便它可以运行所有这些 Windows 应用程序，而实际上不需要 Windows。
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CAM
商品描述
This repository implements Class Activation Mapping (CAM), a technique to expose the implicit attention of convolutional neural networks by generating heatmaps that highlight the most discriminative image regions influencing a network’s class prediction. The method involves modifying a CNN model slightly (e.g., using global average pooling before the final layer) to produce a weighted combination of feature maps as the class activation map. Integration with existing CNNs (with light modifications). Sample scripts/examples using standard architectures. The repo provides example code and instructions for applying CAM to existing CNN architectures. Visualization of discriminative regions per class.
功能
- Generation of class activation heatmaps
- Integration with existing CNNs (with light modifications)
- Visualization of discriminative regions per class
- Ease of use / minimal code overhead
- Sample scripts / examples using standard architectures
- Works over multiple datasets / classes
程式语言
MATLAB
分类
This is an application that can also be fetched from https://sourceforge.net/projects/cam.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
