PyTorch版的YOLOv5是一个非常流行的基于深度学习的目标检测器。本课程使用Grad-CAM热力图可视化方法对YOLOv5进行热力图可视化,可以直观展示图像中哪些区域对物体类别分类贡献程度大。 Grad-CAM是一种CNN(卷积神经网络)可解释性的经典方法,与CAM(类激活图)相比,这种方法不需要对模型进行改动就可以生成热力图(heatmap),...
yolov5-grad-cam A simple implementation of Grad-cam for YOLO-v5. To be simpler, You can just copy PlotCAM.py into your project and run it Please give a ⭐ if this functionality benefits your research and projects. Installation pip install -r requirements.txt Infer python main.py --mo...
PyTorch版的YOLOv5是一个非常流行的基于深度学习的目标检测器。本课程使用Grad-CAM热力图可视化方法对YOLOv5进行热力图可视化,可直观展示图像
Wenxc/YOLOv5-GradCAM is licensed under the MIT License A short and simple permissive license with conditions only requiring preservation of copyright and license notices. Licensed works, modifications, and larger works may be distributed under different terms and without source code. Permissions ...
PyTorch版的YOLOv5是一个非常流行的基于深度学习的目标检测器。本课程使用Grad-CAM热力图可视化方法对YOLOv5进行热力图可视化,可直观展示图像中哪些区域对类别分类贡献程度大。 Grad-CAM是一种CNN(卷积神经网络)可解释性的经典方法,与CAM(类激活图)相比,不需要对模型进行改动就可以生成热力图(heatmap),非常方便和灵活...
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一、Grad CAM 可视化 实施与效果 直接运行 main_gradcam.py 或者终端运行 pythonmain_gradcam.py--img-path路径 1、 配置和效果 yolov5 Grad-CAM可视化的修改可参考这两篇博客:YOLOv5结合GradCAM热力图可视化 和【YOLOv5】结合GradCAM热力图可视化,我用的好像跟他不一样版本,不过问题不大,有几处需要改一下,见...
YOLOv5-GradCAM SKKU S-HERO Capstone Project with PCB defects detection using YOLOv5 & GradCAM (Pytorch) YOLOv5 Source:https://github.com/ultralytics/yolov5 Grad-CAM Source:https://github.com/jacobgil/pytorch-grad-cam Usage 1. Object Detection using YOLOv5 ...
model = torch.hub.load('ultralytics/yolov5', 'yolov5s', force_reload=True, pretrained=True, autoshape=False)tomodel = attempt_load(r'D:\Remi\YOLOv5-GradCAM\pytorch-grad-cam\yolov5\runs\train\exp5\weights\best.pt') Step 3:
yolov5-grad-cam A simple implementation of Grad-cam for YOLO-v5. To be simpler, You can just copy PlotCAM.py into your project and run it Please give a ⭐ if this functionality benefits your research and projects. Installation pip install -r requirements.txt Infer python main.py --mo...