update

Author: 刘宇

opencv学习/01读取图片.py

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+import cv2 as cv
+
+# 读取图片
+img = cv.imread("images/1.jpg")
+# 显示图片
+cv.imshow("Liuyu", img)
+# 等待
+cv.waitKey(0)
+# 释放内存
+cv.destroyAllWindows()

opencv学习/02灰度转换.py

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+import cv2 as cv
+
+# 读取图片
+img = cv.imread("images/1.jpg")
+# TODO 灰度转换
+gray_img = cv.cvtColor(img, cv.COLOR_BGRA2GRAY)
+
+# 显示图片
+cv.imshow("gray_Liuyu", gray_img)
+
+# 保存灰度图片
+cv.imwrite("images/gray_1.jpg", gray_img)
+
+# 显示图片
+cv.imshow("Liuyu", img)
+# 等待
+cv.waitKey(0)
+# 释放内存
+cv.destroyAllWindows()

opencv学习/03修改尺寸.py

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+import cv2 as cv
+
+# 读取图片
+img = cv.imread("images/1.jpg")
+# TODO 修改尺寸
+resize_img = cv.resize(img, dsize=(200, 200))
+
+# 显示原图
+cv.imshow("liuyu", img)
+# 显示修改后图片
+cv.imshow("liuyu_200_200", resize_img)
+# 打印原图尺寸大小
+print("未修改", img.shape)
+# 打印修改后尺寸大小
+print("修改后", resize_img.shape)
+
+# 保存修改后图片
+cv.imwrite("images/resize_liuyu.jpg", resize_img)
+
+# 等待
+while True:
+    if ord("q") == cv.waitKey(0):
+        break
+# 释放内存
+cv.destroyAllWindows()

opencv学习/04绘制矩形.py

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+import cv2 as cv
+
+# 读取图片
+img = cv.imread("images/1.jpg")
+
+# 坐标
+x, y, w, h = 100, 100, 100, 100
+# 绘制矩形
+cv.rectangle(img, (x, y, x + w, y + h), color=(0, 0, 255), thickness=1)
+# 绘制圆形
+cv.circle(img, center=(x + w, y + h), radius=100, color=(255, 0, 0), thickness=2)
+# 显示
+cv.imshow("re_img", img)
+# 等待
+while True:
+    if ord("q") == cv.waitKey(0):
+        break
+# 释放内存
+cv.destroyAllWindows()

opencv学习/05人脸检测.py

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+import cv2 as cv
+
+
+# 检测函数
+def face_detect_demo(img):
+    img = cv.resize(img, dsize=(500, 500))
+    # 1 转换为灰度图
+    gary = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
+    # 加载分类器
+    face_detect = cv.CascadeClassifier(
+        r"D:\install\opencv\opencv\sources\data\haarcascades\haarcascade_frontalface_alt2.xml"
+    )
+    face = face_detect.detectMultiScale(gary, 1.1, 5)
+    for x, y, w, h in face:
+        cv.rectangle(img, (x, y), (x + w, y + h), color=(0, 0, 255), thickness=2)
+    cv.imshow("result", img)
+
+
+# 读取图片
+img = cv.imread("images/1.jpg")
+face_detect_demo(img)
+# 等待
+while True:
+    if ord("q") == cv.waitKey(0):
+        break
+# 释放内存
+cv.destroyAllWindows()

opencv学习/06检测多个.py

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+import cv2 as cv
+
+
+# 检测函数
+def face_detect_demo(img):
+    # img = cv.resize(img, dsize=(500, 500))
+    # 1 转换为灰度图
+    gary = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
+    # 加载分类器
+    face_detect = cv.CascadeClassifier(
+        r"D:\install\opencv\opencv\sources\data\haarcascades\haarcascade_frontalface_alt2.xml"
+    )
+    face = face_detect.detectMultiScale(gary, 1.1, 5)
+    for x, y, w, h in face:
+        cv.rectangle(img, (x, y), (x + w, y + h), color=(0, 0, 255), thickness=2)
+    cv.imshow("result", img)
+
+
+# 读取图片
+img = cv.imread("images/2.jpg")
+face_detect_demo(img)
+# 等待
+while True:
+    if ord("q") == cv.waitKey(0):
+        break
+# 释放内存
+cv.destroyAllWindows()