如何使用knn算法读取和预测数据集外的图像

Question

I have difficulty in an algorithm knn, how can I predict a new image outside of the dataset I'm using? how is the coding?

I have difficulty in an algorithm knn, how can I predict a new image outside of the dataset I'm using? how is the coding?

Answer 1

You can use this example code to to read your images.

from io import BytesIO
import numpy as np
import requests
from PIL import Image

response = requests.get(url)
img = Image.open(BytesIO(response.content))
img = np.array(img).reshape(1, -1)
output_class = neigh.predict(img)[0]
print(output_class)