Pytorch implementation of convolutional neural network visualization techniques
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Updated
Jan 1, 2025 - Python
Pytorch implementation of convolutional neural network visualization techniques
pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...
Official implementation of Score-CAM in PyTorch
Class-Weighted Convolutional Features for Image Retrieval (BMVC 2017)
(CVPR2018) Adversarial Complementary Learning for Weakly Supervised Object Localization
visualization:filter、feature map、attention map、image-mask、grad-cam、human keypoint、guided-backpro
An application to translate raster image of CAD drawing sheet to a user editable DXF format.
Additive & Subtractive Manufacturing By Layer for the E3D ToolChanging platform
A 2.5D CAM package/toolpath generator for 3-axis CNC routers and mills
Automatically checks every 20 seconds (set in config file) to see which camsoda models are online and records any models which are in the "wanted" list when they are in a public shows.
A prototype program to create constant-engament tool paths for CNC Milling Machines from 3D Meshes.
Python script to generate toolpaths to engrave raster images for Biesse CNC
Implemented CAM in two versions. (keras backend, numpy)
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