ryanking13

import tensorflow as tf
from tensorflow.keras.preprocessing import image
from tensorflow.keras.applications import densenet
import numpy as np

def decode_prediction(predicted, char_set, length=2):
    l = len(char_set)
    chars = []
    for i in range(length):
        chars.append(char_set[np.argmax(predicted[i * l : (i + 1) * l])])

ryanking13

from pathlib import Path


configured_path = Path(__file__).parent.parent / "cpython" / "installs" / "python-3.11.3" / "lib" / "python3.11"
archive_path = Path(__file__).parent.parent / ".." / "temp" / "cpython-3.11.3" / "Lib"


configured_lib = configured_path
archive_lib = archive_path