Question

在进行预测时，我正在使用python + opencv构建KNN模型以对数字0-9进行分类。问题是，无论我输入什么图像，结果始终为9 ！！！！谁能告诉我原因！干杯! 这是我的代码：

   **Part 1- read all images from 10 folders(which names are 0-9):**
   datas = []    
   for j in range(0,10):
      training_paths = training_path+str(j)+'\\'
      afiles = [f for f in listdir(training_paths) if isfile(join(training_paths, f))]

    for f in afiles:
        img = cv2.imread(training_paths+f)
        gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
        ret, th = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)
        datas.append(th)

    **Part2: build Knn** 
    def initKNN(datas):
       k = np.arange(10) 
       shit = np.array(datas)
       samples = shit.reshape(-1,28*28).astype(np.float32)
       train_labels = np.repeat(k,32)[:,np.newaxis]
       knn = cv2.ml.KNearest_create()
       knn.train(samples, cv2.ml.ROW_SAMPLE, train_labels)
       return knn

    **Part3: classify number**
    def find_digits(knn,img):
       gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
       ret, th = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)
      out = th.reshape(-1, 28*28).astype(np.float32)
      ret, result, neighbours, dis = knn.findNearest(out, k=1)
      return int(result)

python opencv KNN总是得到相同的预测

0 个答案: