Python AIprograminng

import IPython from google.colab import output import cv2 import numpy as np from PIL import Image from io import BytesIO import base64 def run(img_str): #decimg to image decimg = base64.b64decode(img_str.split(',')[1], validata=True) decimg = Image.open(BytesIO(decimg)) decimg = np.array(decimg, dtype=np.uint8); decimg = cv2.cvtColor(decimg, cv2.COLOR_BGR2RGB) # image classify img = cv2.resize(decimg, (64, 64)) img = img_to_array(img) img = img / 255.0 img = img[np.newaxis] img = np.asarray(img) preds = keras_model.predict(img) result = np.argmax(preds[0]) # draw output out_img = decimg cv2.putText(out_img, labels[result], (10,50), \ cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 1, cv2.LINE_AA) #encode to string _, encimg = cv2.imencode(".jpg", out_img, [int(cv2.IMWRITE_JPEG_QUALITY), 80]) img_str = encimg.tostring() img_str = ("data:imge/jpeg:base64," + base64.b64encode(img_str).decode('utf-8')) return IPython.display.JSON({'img_str': img_str}) output.register_callback('notebook.run',run) https://colab.research.google.com/drive/1cF--C6PRT2j7hPdn5ia1I7SlwGqdvB-d?hl=ja#scrollTo=eT8PXuywDsmO