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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
<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>
<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
<code class="python">import cv2 import numpy as np def render_image(img): ret, buf = cv2.imencode('.png', img) return buf.tobytes()</code>
<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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