add hack

data/1.OpenCV初阶/1.OpenCV基础/3.图像的基本操作/config.json

@@ -5,6 +5,7 @@
   ],
   "children": [],
   "export": [
-      "pixel.json"
+      "pixel.json",
+      "hack.json"
   ]
 }
\ No newline at end of file

data/1.OpenCV初阶/1.OpenCV基础/3.图像的基本操作/hack.md

+# 图片黑客帝国化
+
+黑客帝国的图片风格偏绿色，任意图片的每个像素(r,g,b)经过公式转换后即可获得一张“黑客帝国风格图片”：
+
+* r = r<sup>3/2</sup>
+* g = r<sup>4/5</sup>
+* b = r<sup>3/2</sup>
+
+我们对`lena`图片也做黑客帝国风格化处理：
+
+```python
+import numpy as np
+import cv2
+import math
+
+def hacker(img):
+    # TODO(You): 请在此添加代码
+
+if __name__ == '__main__':
+    img_origin = cv2.imread('lena.png', cv2.IMREAD_COLOR)
+    img = cv2.imread('lena.png', cv2.IMREAD_COLOR)
+    print(img.size)
+    print(img.shape)
+
+    hacker(img)
+
+    print('显示图片，请按任意键退出')
+    numpy_horizontal_concat = np.concatenate((img_origin, img), axis=1)
+    cv2.imshow('Lena图片黑客帝国化', numpy_horizontal_concat)
+    cv2.waitKey()
+    cv2.destroyAllWindows()
+```
+
+以下选项是对函数 `def hacker(img)` 的实现，请选出<span style="color:red">实现有错</span>的选项。
+
+## template
+
+```python
+import numpy as np
+import cv2
+import math
+
+
+def hacker_1(img):
+    height, width, channels = img.shape
+    for i in range(0, width):
+        for j in range(0, height):
+            b, g, r = img.item((i, j, 0)), img.item(
+                (i, j, 1)), img.item((i, j, 2))
+            hack_b = int(math.pow(b/256.0, 3/2) * 256)
+            hack_g = int(math.pow(g/256.0, 4/5) * 256)
+            hack_r = int(math.pow(r/256.0, 3/2) * 256)
+            img.itemset((i, j, 0), hack_b)
+            img.itemset((i, j, 1), hack_g)
+            img.itemset((i, j, 2), hack_r)
+
+
+def hacker_2(img):
+    height, width, channels = img.shape
+    for i in range(0, width):
+        for j in range(0, height):
+            b, g, r = img[i, j]
+            hack_b = int(math.pow(b/256.0, 3/2) * 256)
+            hack_g = int(math.pow(g/256.0, 4/5) * 256)
+            hack_r = int(math.pow(r/256.0, 3/2) * 256)
+            img[i, j] = (hack_b, hack_g, hack_r)
+
+
+def hacker_3(img):
+    height, width, channels = img.shape
+    for i in range(0, width):
+        for j in range(0, height):
+            b, g, r = img.item((i, j))
+            hack_b = int(math.pow(b/256.0, 3/2) * 256)
+            hack_g = int(math.pow(g/256.0, 4/5) * 256)
+            hack_r = int(math.pow(r/256.0, 3/2) * 256)
+            img.itemset((i, j), (hack_b, hack_g, hack_r))
+
+
+def hacker(img):
+    height, width, channels = img.shape
+    for i in range(0, width):
+        for j in range(0, height):
+            b, g, r = img[i, j]
+            hack_b = int(math.pow(b/256.0, 3/2) * 256)
+            hack_g = int(math.pow(g/256.0, 4/5) * 256)
+            hack_r = int(math.pow(r/256.0, 3/2) * 256)
+            img[i, j, 0] = hack_b
+            img[i, j, 1] = hack_g
+            img[i, j, 2] = hack_r
+
+
+if __name__ == '__main__':
+    img_origin = cv2.imread('lena.png', cv2.IMREAD_COLOR)
+    img = cv2.imread('lena.png', cv2.IMREAD_COLOR)
+    print(img.size)
+    print(img.shape)
+
+    hacker(img)
+
+    print('显示图片，请按任意键退出')
+    numpy_horizontal_concat = np.concatenate((img_origin, img), axis=1)
+    cv2.imshow('Lena图片黑客帝国化', numpy_horizontal_concat)
+    cv2.waitKey()
+    cv2.destroyAllWindows()
+
+```
+
+## 答案
+
+```python
+def hacker(img):
+    height, width, channels = img.shape
+    for i in range(0, width):
+        for j in range(0, height):
+            b, g, r = img.item((i, j))
+            hack_b = int(math.pow(b/256.0, 3/2) * 256)
+            hack_g = int(math.pow(g/256.0, 4/5) * 256)
+            hack_r = int(math.pow(r/256.0, 3/2) * 256)
+            img.itemset((i, j), (hack_b, hack_g, hack_r))
+```
+
+## 选项
+
+### item+itemset
+
+```python
+def hacker(img):
+    height, width, channels = img.shape
+    for i in range(0, width):
+        for j in range(0, height):
+            b,g,r = img.item((i, j, 0)),img.item((i, j, 1)), img.item((i, j, 2))
+            hack_b = int(math.pow(b/256.0, 3/2) * 256)
+            hack_g = int(math.pow(g/256.0, 4/5) * 256)
+            hack_r = int(math.pow(r/256.0, 3/2) * 256)
+            img.itemset((i, j, 0), hack_b)
+            img.itemset((i, j, 1), hack_g)
+            img.itemset((i, j, 2), hack_r)
+```
+
+### 直接读取像素
+
+```python
+def hacker(img):
+    height, width, channels = img.shape
+    for i in range(0, width):
+        for j in range(0, height):
+            b, g, r = img[i, j]
+            hack_b = int(math.pow(b/256.0, 3/2) * 256)
+            hack_g = int(math.pow(g/256.0, 4/5) * 256)
+            hack_r = int(math.pow(r/256.0, 3/2) * 256)
+            img[i, j] = (hack_b, hack_g, hack_r)
+```
+
+### 下标访问到通道
+
+```python
+def hacker(img):
+    height, width, channels = img.shape
+    for i in range(0, width):
+        for j in range(0, height):
+            b, g, r = img[i, j]
+            hack_b = int(math.pow(b/256.0, 3/2) * 256)
+            hack_g = int(math.pow(g/256.0, 4/5) * 256)
+            hack_r = int(math.pow(r/256.0, 3/2) * 256)
+            img[i, j, 0] = hack_b
+            img[i, j, 1] = hack_g
+            img[i, j, 2] = hack_r
+```

data/1.OpenCV初阶/1.OpenCV基础/3.图像的基本操作/hack.py

+import numpy as np
+import cv2
+import math
+
+
+def hacker_1(img):
+    height, width, channels = img.shape
+    for i in range(0, width):
+        for j in range(0, height):
+            b, g, r = img.item((i, j, 0)), img.item(
+                (i, j, 1)), img.item((i, j, 2))
+            hack_b = int(math.pow(b/256.0, 3/2) * 256)
+            hack_g = int(math.pow(g/256.0, 4/5) * 256)
+            hack_r = int(math.pow(r/256.0, 3/2) * 256)
+            img.itemset((i, j, 0), hack_b)
+            img.itemset((i, j, 1), hack_g)
+            img.itemset((i, j, 2), hack_r)
+
+
+def hacker_2(img):
+    height, width, channels = img.shape
+    for i in range(0, width):
+        for j in range(0, height):
+            b, g, r = img[i, j]
+            hack_b = int(math.pow(b/256.0, 3/2) * 256)
+            hack_g = int(math.pow(g/256.0, 4/5) * 256)
+            hack_r = int(math.pow(r/256.0, 3/2) * 256)
+            img[i, j] = (hack_b, hack_g, hack_r)
+
+
+def hacker_3(img):
+    height, width, channels = img.shape
+    for i in range(0, width):
+        for j in range(0, height):
+            b, g, r = img.item((i, j))
+            hack_b = int(math.pow(b/256.0, 3/2) * 256)
+            hack_g = int(math.pow(g/256.0, 4/5) * 256)
+            hack_r = int(math.pow(r/256.0, 3/2) * 256)
+            img.itemset((i, j), (hack_b, hack_g, hack_r))
+
+
+def hacker(img):
+    height, width, channels = img.shape
+    for i in range(0, width):
+        for j in range(0, height):
+            b, g, r = img[i, j]
+            hack_b = int(math.pow(b/256.0, 3/2) * 256)
+            hack_g = int(math.pow(g/256.0, 4/5) * 256)
+            hack_r = int(math.pow(r/256.0, 3/2) * 256)
+            img[i, j, 0] = hack_b
+            img[i, j, 1] = hack_g
+            img[i, j, 2] = hack_r
+
+
+if __name__ == '__main__':
+    img_origin = cv2.imread('lena.png', cv2.IMREAD_COLOR)
+    img = cv2.imread('lena.png', cv2.IMREAD_COLOR)
+    print(img.size)
+    print(img.shape)
+
+    hacker(img)
+
+    print('显示图片，请按任意键退出')
+    numpy_horizontal_concat = np.concatenate((img_origin, img), axis=1)
+    cv2.imshow('Lena图片黑客帝国化', numpy_horizontal_concat)
+    cv2.waitKey()
+    cv2.destroyAllWindows()