인프런 커뮤니티 질문&답변

import os

import numpy as np

import tensorflow as tf

from PIL import Image

model = tf.keras.models.load_model('mnist_model.h5')

image_folder = "images"

image_files = [f for f in os.listdir(image_folder) if f.endswith(('.png', '.jpg', '.jpeg'))]

def predict_number(image_path):

img = Image.open(image_path).convert('L')

img = img.resize((28,28))

img_data = np.array(img)

img_data = 255 - img_data

img_data = img_data / 255.0

img_data = np.expand_dims(img_data, axis=0)

img_data = np.expand_dims(img_data, axis=-1)

predictions = model.predict(img_data)

return np.argmax(predictions)

for image_file in image_files:

image_path = os.path.join(image_folder, image_file)

predicted_number = predict_number(image_path)

print(f"{image_file} : {predicted_number}")

input("엔터 키를 눌러 종료하세요")

코드는 이렇고요

mnist 파일은 https://github.com/adhishthite/digit-recognizer/tree/master 여기서 다운 받았습니다.

근데 FileNotFoundError: [Errno 2] Unable to synchronously open file (unable to open file: name = 'mnist_model.h5', errno = 2, error message = 'No such file or directory', flags = 0, o_flags = 0)

이런 오류가 뜹니다. 어떻게 해결하나요?