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AutoGPTとは
OpenAIのChatGPTのAPIを利用した自律的に情報を処理できるPythonアプリケーションです。

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Today, I would like to share how to rotate and crop the images in Python using opencv.

Rotating and cropping are common image processing techniques used to manipulate digital images. Python OpenCV is a powerful library for image processing that provides numerous tools for image manipulation. In this tutorial, we will learn how to rotate and crop images using Python OpenCV.

1. Installing OpenCV

First, we need to install OpenCV in our system. If you haven’t installed OpenCV yet, you can install it using pip:

pip install opencv-python

2. Loading an Image

After installing OpenCV, we can load an image using the imread() function. The imread() function takes the image file path as an argument and returns an array representing the image.

import cv2

# Load image

image = cv2.imread('path/to/image.jpg')

3. Rotating an Image

Rotating an image involves changing the orientation of the image. We can use the cv2.rotate() function to rotate an image. The cv2.rotate() function takes three arguments: the image, the rotation type, and the angle of rotation.

# Rotate image

rotated_image = cv2.rotate(image, cv2.cv2.ROTATE_90_CLOCKWISE)

In the above example, we have rotated the image 90 degrees clockwise.

4. Cropping an Image

Cropping an image involves selecting a portion of the image and discarding the rest. We can use array slicing to crop an image. The array slicing notation is [start_row:end_row, start_column:end_column].

# Crop image

cropped_image = image[start_row:end_row, start_column:end_column]

In the above example, we have cropped the image from start_row to end_row and start_column to end_column.

5. Displaying Images

After rotating or cropping an image, we can display the images using the cv2.imshow() function. The cv2.imshow() function takes two arguments: the name of the window and the image.

# Display images

cv2.imshow('Original Image', image)

cv2.imshow('Rotated Image', rotated_image)

cv2.imshow('Cropped Image', cropped_image)

# Wait for a key press and close all windows

cv2.waitKey(0)

cv2.destroyAllWindows()

6. Saving an Image

We can save the rotated or cropped image using the cv2.imwrite() function. The cv2.imwrite() function takes two arguments: the name of the file and the image.

# Save image

cv2.imwrite('path/to/saved/image.jpg', rotated_image)

In the above example, we have saved the rotated image to a file named ‘saved_image.jpg’ in the specified path.

Conclusion

In this tutorial, we have learned how to rotate and crop images using Python OpenCV. We have also learned how to display and save images. These are just a few of the many image processing techniques that can be performed using OpenCV. With OpenCV, we can perform a wide range of image processing tasks, from simple operations like cropping and rotating to more complex operations like edge detection and object recognition.

This is all for now. Hope you enjoy that.

By Asahi

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Hugging Face, an AI startup backed by tens of millions of venture capitalists, has released an open-source alternative to OpenAI’s AI-powered viral chatbot ChatGPT called HuggingChat.

HuggingChat can be tested via a web interface or integrated with existing apps and services via the Hugging Face API. HuggingChat can handle many of the same tasks as ChatGPT, such as writing code, writing emails, and writing song lyrics.

The AI model that powers HuggingChat was developed by Open Assistant. This is a project sponsored by LAION, a German non-profit organization responsible for creating the datasets on which Stable Diffusion, a text-to-image AI model, was trained.

HuggingChat joins a growing family of open source alternatives to ChatGPT. Last week, Stability AI released StableLM. This is a suite of models that can generate code and text with basic instructions.

Some researchers have criticized the release of open source models similar to StableLM in the past, claiming they are flawed and can be used for malicious purposes such as crafting phishing emails. claim. However, some point out that many of the policed business models like ChatGPT, with their filtering and moderation systems, have proven to be flawed and exploitable.

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Stable DiffusionをローカルPCで比較的簡単に実行することができる
Stable Diffusion WebUI（Automatic1111）を試してみました。

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Today, we will explore how to create client and server sockets using Python, along with an example code.

Client and server sockets are a fundamental part of network communication in computer science. A socket is essentially an endpoint that enables two-way communication between two devices over a network.

Server Socket

The server socket is a program that listens for incoming connections from clients. Once a connection is established, the server creates a new socket object to handle the communication with the client. Here is a basic example of a server socket program in Python:

import socket

HOST = '127.0.0.1'  # Standard loopback interface address (localhost)
PORT = 65432        # Port to listen on (non-privileged ports are > 1023)

with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
    s.bind((HOST, PORT))
    s.listen()
    conn, addr = s.accept()
    with conn:
        print('Connected by', addr)
        while True:
            data = conn.recv(1024)
            if not data:
                break
            conn.sendall(data)

In the above code, we first import the socket module and define the IP address and port number for the server. Then we create a new socket object ‘s’ using the AF_INET address family and SOCK_STREAM socket type.

We then bind the socket to our defined IP address and port number, and start listening for incoming connections using the s.listen() method. Once a client connects, the s.accept() method returns a new socket object ‘conn’ representing the connection, along with the address of the client.

We then use a while loop to continuously receive data from the client using conn.recv() and send data back to the client using conn.sendall() until there is no more data to receive.

Client Socket

The client socket is a program that initiates a connection to the server socket. Here is a basic example of a client socket program in Python:

import socket

HOST = '127.0.0.1'  # The server's hostname or IP address
PORT = 65432        # The port used by the server

with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
    s.connect((HOST, PORT))
    s.sendall(b'Hello, world')
    data = s.recv(1024)

print('Received', repr(data))

In the above code, we again import the socket module and define the IP address and port number for the server. We then create a new socket object ‘s’ using the AF_INET address family and SOCK_STREAM socket type.

We then initiate a connection to the server using s.connect() and send data to the server using s.sendall(). Finally, we receive data from the server using s.recv() and print the received data.

Conclusion

We have explored how to create client and server sockets using Python along with a basic example code. Sockets are a powerful tool for network communication and are used extensively in a wide range of applications. With the above knowledge, you can build complex network applications in Python.

This is all for now. Hope you enjoy that.

By Asahi

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