really too simple colour detection of chocolate drops

really too simple colour detection of chocolate drops.
only an example!!!

main.py

@@ -0,0 +1,70 @@
+from PIL import Image
+import numpy as np
+import matplotlib.pylab as plt
+im = Image.open("sample/IMG_8217.jpg")
+
+print(im)
+
+im2arr = np.array(im) # im2arr.shape: height x width x channel
+arr2im = Image.fromarray(im2arr)
+
+plt.imshow(im2arr)
+plt.show()
+
+print(np.min(im2arr[:,:,2]), np.max(im2arr[:,:,2]))
+
+# substract the minimal colour intensity from each pixel.
+# here, but not done yet
+
+x = 860
+y = 250
+plt.imshow(im2arr[y+50:y+250, x+50:x+250, :])
+plt.show()
+
+green_r = np.mean(im2arr[y+50:y+250, x+50:x+250, 0])
+green_g = np.mean(im2arr[y+50:y+250, x+50:x+250, 1])
+green_b = np.mean(im2arr[y+50:y+250, x+50:x+250, 2])
+
+print("green", green_r, green_g, green_b)
+
+
+x = 2070
+y = 250
+plt.imshow(im2arr[y+50:y+250, x+50:x+250, :])
+plt.show()
+
+blue_r = np.mean(im2arr[y+50:y+250, x+50:x+250, 0])
+blue_g = np.mean(im2arr[y+50:y+250, x+50:x+250, 1])
+blue_b = np.mean(im2arr[y+50:y+250, x+50:x+250, 2])
+
+print("blue", blue_r, blue_g, blue_b)
+
+
+
+x = 800
+y = 1020
+plt.imshow(im2arr[y+50:y+250, x+50:x+250, :])
+plt.show()
+
+brown_r = np.mean(im2arr[y+50:y+250, x+50:x+250, 0])
+brown_g = np.mean(im2arr[y+50:y+250, x+50:x+250, 1])
+brown_b = np.mean(im2arr[y+50:y+250, x+50:x+250, 2])
+
+print("brown", brown_r, brown_g, brown_b)
+
+plt.plot([brown_r, brown_g, brown_b])
+plt.plot([blue_r, blue_g, blue_b])
+plt.plot([green_r, green_g, green_b])
+plt.show()
+
+
+for i in range(len(im2arr)):
+    for j in range(len(im2arr[i])):
+        if im2arr[i][j][0] > brown_r - 30 and im2arr[i][j][0] < brown_r + 30 and im2arr[i][j][1] > brown_g - 30 and im2arr[i][j][1] < brown_g + 30 and im2arr[i][j][2] > brown_b - 30 and im2arr[i][j][2] < brown_b + 30:
+            print(i,j, "brown")
+            im2arr[i, j, 0] = 0
+            im2arr[i, j, 1] = 0
+            im2arr[i, j, 2] = 0
+
+plt.imshow(im2arr)
+plt.show()