keras Docker 기본 패키지 이미지 프로세싱용 tensorflow 2.4.3

Docker 이미지 프로세서 개발 환경 구축을 위해서는 아래와 같이 구성 되어져야 합니다.  

1. tenosrflow 2.4.3 버전 일 때 의 최적화

---

# Random precessing
import numpy as np
import pandas as pd
import random ,os, csv ,re
from glob import glob

# Make Image
import cv2
from PIL import Image
import matplotlib.pyplot as plt

# default load
import tensorflow as tf
from tensorflow.keras.utils import to_categorical

#impage preprocessing
from tensorflow.keras.preprocessing import image as image_utils
from tensorflow.keras.preprocessing.image import(ImageDataGenerator) 
from tensorflow.keras.preprocessing.text import(text_to_word_sequence)

#impage preprocessing
from tensorflow.keras import layers
from tensorflow.keras.models import(Model, load_model)

# LabelEncoder 
from sklearn.preprocessing import LabelEncoder

# keras models
from tensorflow.keras.layers import (
    BatchNormalization, SeparableConv2D, MaxPooling2D, Activation, 
    Flatten, Dropout, Dense , Input
)
# Keras Applications
from tensorflow.keras.applications import(ResNet50)