received plaintext http traffic on an https channel, closing connection Netty4HttpChannel{localAddress=/[0:0:0:0:0:0:0:1]:9200

As an AI language model, I cannot provide a specific solution to this issue as it requires more context and details. However, this error message suggests that there was an attempt to send plain text HTTP traffic over an HTTPS channel, which is not allowed. This could be due to a misconfigured client or server, or a possible security breach. The connection was closed to prevent any further communication. It is recommended to investigate and fix the underlying issue to ensure secure communication.

相关问题

如何解决JDBC Connection [com.mysql.cj.jdbc.ConnectionImpl@29f7045e] will not be managed by Spring ==> Preparing: SELECT id,name,password FROM ssm_user WHERE (name = ?) ==> Parameters: null <== Total: 0 Closing non transactional SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@3d63f5cc]

这个问题通常是由于在没有事务管理的情况下使用了MyBatis引擎而导致的。解决这个问题的方法是将MyBatis引擎的事务管理交给Spring来管理。你可以在Spring的配置文件中添加如下代码来解决这个问题：

<bean id="sqlSessionFactory" class="org.mybatis.spring.SqlSessionFactoryBean">
    <property name="dataSource" ref="dataSource" />
    <property name="transactionFactory">
        <bean class="org.apache.ibatis.transaction.managed.ManagedTransactionFactory" />
    </property>
    <property name="configLocation" value="classpath:mybatis-config.xml" />
</bean>

其中，`ManagedTransactionFactory`是MyBatis提供的一个事务管理工厂。通过将其配置到`SqlSessionFactoryBean`中，可以将MyBatis引擎的事务管理交给Spring来管理，从而解决上述问题。

# image channels are in BGR B = image[:, :, 0] G = image[:, :, 1] R = image[:, :, 2] # change the channel order from BGR to RGB and restore

To change the channel order from BGR to RGB and restore the image, you can use the following code:

import cv2

# Load the image
image = cv2.imread("image.jpg")

# Split the channels
B = image[:, :, 0]
G = image[:, :, 1]
R = image[:, :, 2]

# Change the channel order from BGR to RGB and restore the image
image = cv2.merge([R, G, B])

# Display the restored image
cv2.imshow("Restored Image", image)
cv2.waitKey(0)
cv2.destroyAllWindows()

In this code, we first load the image using the `cv2.imread()` function. Then, we split the channels into three separate arrays `B`, `G`, and `R`. After that, we change the channel order from BGR to RGB using the `cv2.merge()` function. Finally, we display the restored image using the `cv2.imshow()` function and wait for a key press before closing the window using the `cv2.waitKey()` and `cv2.destroyAllWindows()` functions.