piyush01123

import numpy as np
from sklearn import datasets
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score, classification_report

# Load data
digits = datasets.load_digits()
trainX, testX, trainY, testY = train_test_split(digits.images, digits.target, test_size=0.2, random_state=42)

# mnist = datasets.fetch_openml('mnist_784', version=1, as_frame=False)

piyush01123

import cv2
import flask

app = flask.Flask("CamApp")

def gen():
    cap = cv2.VideoCapture(0)
    while True:
        _, frame = cap.read()
        yield (b'--frame\r\n'