opencv数字识别训练模型python

您可以使用OpenCV和Python来训练数字识别模型。首先，您需要准备一个包含数字图像的数据集。然后，您可以使用OpenCV中的cv2.ml模块来训练模型。以下是一个简单的示例代码：

import cv2
import numpy as np

# 准备数据集
digits = cv2.imread('digits.png', 0)
rows = np.vsplit(digits, 50)
cells = []
for row in rows:
    row_cells = np.hsplit(row, 50)
    for cell in row_cells:
        cells.append(cell)

# 准备训练和测试数据
train_cells = cells[:2500]
test_cells = cells[2500:]

# 准备训练标签
k = np.arange(10)
train_labels = np.repeat(k, 250)[:, np.newaxis]

# 训练模型
svm = cv2.ml.SVM_create()
svm.setType(cv2.ml.SVM_C_SVC)
svm.setKernel(cv2.ml.SVM_RBF)
svm.setGamma(0.5)
svm.setC(10.0)
svm.train(np.array(train_cells).reshape(-1, 400), cv2.ml.ROW_SAMPLE, train_labels)

# 测试模型
test_response = svm.predict(np.array(test_cells).reshape(-1, 400))[1]
accuracy = (test_response == k).mean()
print('Accuracy:', accuracy)