How to Render NumPy Arrays as Images in FastAPI?

How to Render NumPy Array in FastAPI

You have successfully implemented a custom Response to render a NumPy array as an image. Here's a demonstration of how to do so:

For this demonstration, assume you have created an in-memory NumPy array of pixel values.

Using PIL

1. Server-Side:

<code class="python">from PIL import Image
import numpy as np

def render_image(img):
    with io.BytesIO() as buf:
        img = Image.fromarray(img)
        img.save(buf, format="PNG")
        return buf.getvalue()</code>

2. Client-Side:

<code class="python">import requests

url = "http://example.com/image"
response = requests.get(url)
image_bytes = response.content
# You can now render the image using PIL or OpenCV</code>

Using OpenCV

1. Server-Side:

<code class="python">import cv2
import numpy as np

def render_image(img):
    ret, buf = cv2.imencode('.png', img)
    return buf.tobytes()</code>

2. Client-Side:

<code class="python">import requests
import cv2
import numpy as np

url = "http://example.com/image"
response = requests.get(url)
image_bytes = response.content
# You can now render the image using PIL or OpenCV</code>

By incorporating these code snippets into your application, you will be able to successfully render NumPy arrays as images and display them as desired.

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