特征图可视化为类激活图(CAM)
发表于|更新于
|字数总计:104|阅读时长:1分钟|阅读量:|
CAM, Class Activation Map
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22
| import numpy as np import cv2 import matplotlib.pyplot as plt from PIL import Image
im = np.asarray(img.permute(1, 2, 0)+1) im = 255*((im-im.min())/im.max())
cam = cv2.resize(cam, (224, 224))
cam = np.uint8(255 * cam) cam = cv2.applyColorMap(cam, cv2.COLORMAP_JET) print(cam.shape) plt.matshow(cam)
imgrgb = Image.fromarray(im.astype('uint8')).convert('RGB') img_add = cv2.addWeighted(np.array(imgrgb), 0.6, np.array(cam), 0.4, 0) plt.figure(figsize=(8,8)) plt.subplot(121);plt.imshow(imgrgb) plt.subplot(122);plt.imshow(img_add)
|