# 导入所需库
import cv2

# 读取输入图像
img = cv2.imread('architecture.jpg')

# 将图像转换为灰度
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

# 初始化具有默认值的 FAST 对象
fast = cv2.FastFeatureDetector_create()

# 查找图像（灰度）上的关键点
kp = fast.detect(gray,None)

# 在图像中绘制关键点
img2 = cv2.drawKeypoints(img, kp, None)

# 打印所有默认参数
print("Threshold: ", fast.getThreshold())
print("nonmaxSuppression: ", fast.getNonmaxSuppression())
print("neighborhood: ", fast.getType())
print("Total Keypoints with nonmaxSuppression: ", len(kp))

# 显示绘制了关键点的图像
cv2.imshow("Keypoints with nonmaxSuppression", img2)
cv2.waitKey(0)
cv2.destroyAllWindows()

Threshold: 10
nonmaxSuppression: True
neighborhood: 2
Total Keypoints with nonmaxSuppression: 5791

# 导入所需库
import cv2

# 读取输入图像
img = cv2.imread('architecture.jpg')

# 将图像转换为灰度图像
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

# 使用默认值初始化FAST对象
fast = cv2.FastFeatureDetector_create()

# 禁用非极大值抑制
fast.setNonmaxSuppression(0)

# 在图像（灰度）上查找关键点
kp = fast.detect(gray,None)

# 打印所有默认参数
print("Threshold: ", fast.getThreshold())
print("nonmaxSuppression: ", fast.getNonmaxSuppression())
print("neighborhood: ", fast.getType())
print("Total Keypoints without nonmaxSuppression: ", len(kp))
img2 = img.copy()
img2 = cv2.drawKeypoints(img2, kp, None)

# 显示绘制了关键点的图像
cv2.imshow('Keypoints without nonmaxSuppression',img2)
cv2.waitKey(0)
cv2.destroyAllWindows()

Threshold: 10
nonmaxSuppression: False
neighborhood: 2
Total Keypoints without nonmaxSuppression: 27101