add color detection

config.json

@@ -11,5 +11,8 @@
   "detectTest":{
     "detectPath":"/Users/universe/Documents/work/data/Plate/boundingbox",
     "outputPath":"/Users/universe/ProgramUniverse/python/Forked/HyperLPR/out/detect_test"
+  },
+  "colorTest":{
+    "colorPath":"/Users/universe/Documents/work/data/Plate/colour/u"
   }
 }

hyperlpr/colourDetection.py

@@ -0,0 +1,103 @@
+# -- coding: UTF-8
+import cv2
+import matplotlib.pyplot as plt
+from sklearn.cluster import KMeans
+import os
+
+boundaries = [
+    ([100,80,0],[240,220,110]), # yellow
+    ([0,40,50],[110,180,250]), # blue
+    ([0,60,0],[60,160,70]), # green
+]
+color_attr = ["黄牌","蓝牌",'绿牌','白牌','黑牌']
+
+threhold_green = 13
+threhold_blue = 13
+threhold_yellow1 = 50
+threhold_yellow2 = 70
+
+# plt.figure()
+# plt.axis("off")
+# plt.imshow(image)
+# plt.show()
+
+import numpy as np
+def centroid_histogram(clt):
+    numLabels = np.arange(0, len(np.unique(clt.labels_)) + 1)
+    (hist, _) = np.histogram(clt.labels_, bins=numLabels)
+
+    # normalize the histogram, such that it sums to one
+    hist = hist.astype("float")
+    hist /= hist.sum()
+
+    # return the histogram
+    return hist
+
+
+def plot_colors(hist, centroids):
+    bar = np.zeros((50, 300, 3), dtype="uint8")
+    startX = 0
+
+    for (percent, color) in zip(hist, centroids):
+
+        endX = startX + (percent * 300)
+        cv2.rectangle(bar, (int(startX), 0), (int(endX), 50),
+                      color.astype("uint8").tolist(), -1)
+        startX = endX
+
+    # return the bar chart
+    return bar
+
+def search_boundaries(color):
+    for i,color_bound in enumerate(boundaries):
+        if np.all(color >= color_bound[0]) and np.all(color <= color_bound[1]):
+            return i
+    return -1
+
+def judge_color(color):
+    r = color[0]
+    g = color[1]
+    b = color[2]
+    if g - r >= threhold_green and g - b >= threhold_green:
+        return 2
+    if b - r >= threhold_blue and b - g >= threhold_blue:
+        return 1
+    if r- b > threhold_yellow2 and g - b > threhold_yellow2:
+        return 0
+    if r > 200 and b > 200 and g > 200:
+        return 3
+    if r < 50 and b < 50 and g < 50:
+        return 4
+    return -1
+
+def judge_plate_color(img):
+    image = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
+    image = image.reshape((image.shape[0] * image.shape[1], 3))
+    clt = KMeans(n_clusters=2)
+    clt.fit(image)
+
+    hist = centroid_histogram(clt)
+    index = np.argmax(hist)
+    #print clt.cluster_centers_[index]
+    #color_index = search_boundaries(clt.cluster_centers_[index])
+    color_index = judge_color(clt.cluster_centers_[index])
+    if color_index == -1:
+        if index == 0:
+            secound_index = 1
+        else:
+            secound_index = 0
+        color_index = judge_color(clt.cluster_centers_[secound_index])
+
+    if color_index == -1:
+        print clt.cluster_centers_
+        bar = plot_colors(hist, clt.cluster_centers_)
+        # show our color bart
+        plt.figure()
+        plt.axis("off")
+        plt.imshow(bar)
+        plt.show()
+
+    if color_index != -1:
+        return color_attr[color_index],clt.cluster_centers_[index]
+    else:
+        return None,clt.cluster_centers_[index]

hyperlpr/config.py

@@ -2,5 +2,5 @@ import json
 
 
 
-with open("/Users/universe/ProgramUniverse/python/Forked/HyperLPR/config.json") as f:
+with open("/Users/universe/ProgramUniverse/zeusees/HyperLPR/config.json") as f:
     configuration = json.load(f)

hyperlpr_test/color_detection.py

@@ -0,0 +1,17 @@
+# -- coding: UTF-8
+
+import cv2
+import os
+import hyperlpr.colourDetection as hc
+import hyperlpr.config as hconfig
+
+filepath = hconfig.configuration["colorTest"]["colorPath"]
+for filename in os.listdir(filepath):
+    if filename.endswith(".jpg") or filename.endswith(".png") or filename.endswith(".bmp"):
+        fileFullPath = os.path.join(filepath,filename)
+        img = cv2.imread(fileFullPath.encode('utf-8'))
+        color,rgb = hc.judge_plate_color(img)
+        if color != None:
+            print filename,"->",color,"->",rgb
+        else:
+            print filename,"->","unknown->",rgb