My Keras implementation: https://github.com/jacobgil/keras-grad-cam This uses VGG19 from torchvision. It will be downloaded when used for the first time. The code can be modified to work with any model. However the VGG models in torchvision have features/classifier methods for the convolution...
My Keras implementation:https://github.com/jacobgil/keras-grad-cam This uses VGG19 from torchvision. It will be downloaded when used for the first time. The code can be modified to work with any model. However the VGG models in torchvision have features/classifier methods for the convolutional...
Documentation with advanced tutorials:https://jacobgil.github.io/pytorch-gradcam-book This is a package with state of the art methods for Explainable AI for computer vision. This can be used for diagnosing model predictions, either in production or while developing models. The aim is also to ...
My Keras implementation:https://github.com/jacobgil/keras-grad-cam This uses VGG19 from torchvision. It will be downloaded when used for the first time. The code can be modified to work with any model. However the VGG models in torchvision have features/classifier methods for the convolutional...
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more. - pytorch-grad-cam/setup.py at master · flyingU-ai/pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more. - pytorch-grad-cam/pytorch_grad_cam/utils/model_targets.py at master · jacobgil/pytorch-gr
这里以detetron2中的faster-rcnn网络为例,生成Grad-CAM图。主要思路是直接获取预测分值最高的边框;将该边框的预测分值反向传播梯度到,该边框对应的proposal 边框的feature map上,生成此feature map的CAM图。 a) 下载 git clone https://github.com/facebookresearch/detectron2.git ...
""" python cam.py -image-path <path_to_image> Example usage of loading an image and computing: 1. CAM 2. Guided Back Propagation 3. Combining both """ args = get_args() methods = { "gradcam": GradCAM, "hirescam": HiResCAM, "scorecam": ScoreCAM, "gradcam++": GradCAMPlusPlus...
The paper authors torch implementation: https://github.com/ramprs/grad-cam My Keras implementation: https://github.com/jacobgil/keras-grad-cam This uses VGG19 from torchvision. It will be downloaded when used for the first time. The code can be modified to work with any model. However the...
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... - zhenshen-mla/Grad-CAM.pytorch