import cv2
import numpy as np
import os
import glob
import boto3
from sklearn.metrics.pairwise import cosine_similarity
import matplotlib.pyplot as plt
from io …
import os
from flask import Flask, request, render_template, send_from_directory
from flask_uploads import UploadSet, configure_uploads, IMAGES
from PIL import …
import cv2
import numpy as np
from keras.applications import VGG16
from keras.applications.vgg16 import preprocess_input
from keras.preprocessing import image
i…
import cv2
import numpy as np
from keras.applications import VGG16
from keras.applications.vgg16 import preprocess_input
from keras.preprocessing import image
…
import os
from flask import Flask, request, render_template, send_from_directory
from flask_uploads import UploadSet, configure_uploads, IMAGES
from PIL import Image, ImageEnhance
import boto3
import numpy as np
from io import BytesIO
app
びゅわ
import tkinter as tk
from tkinter import filedialog, Scale
from tkinter import ttk
from PIL import Image, ImageTk, ImageEnhance
import boto3
import numpy as np
from io import BytesIO
class ImageViewer:
def __init__(self, root):
びゅーわ
import tkinter as tk
from tkinter import filedialog, Scale
from tkinter import ttk
from PIL import Image, ImageTk, ImageEnhance
import boto3
import numpy as np
from io import BytesIO
import matplotlib.pyplot as plt
class ImageViewer:
d
ビューワー
import tkinter as tk
from tkinter import filedialog, Scale
from tkinter import ttk
from PIL import Image, ImageTk, ImageEnhance
import boto3
import numpy as np
from io import BytesIO
import matplotlib.pyplot as plt
class ImageViewer:
d
仮保存
import boto3
import cv2
import numpy as np
import matplotlib.pyplot as plt
from io import BytesIO
from botocore.exceptions import NoCredentialsError
import tempfile
import os
# AWSの認証情報を設定
aws_access_key_id = 'YOUR_AWS_ACCESS_KEY_ID'
aws_s
めもめもめも
import cv2
import numpy as np
from keras.applications import VGG16
from keras.applications.vgg16 import preprocess_input
from keras.preprocessing import image
import os
# フレームを保存するフォルダを作成
if not os.path.exists('frames_with_zero_crossings')
メモメモ
import cv2
import numpy as np
from keras.applications import VGG16
from keras.applications.vgg16 import preprocess_input
from keras.preprocessing import image
# 教師データの画像をロードして特徴量を抽出
teacher_image_path = 'path_to_your_teacher_image.jpg'
tea
めも3
import tkinter as tk # ウィンドウ作成用
from tkinter import filedialog # ファイルを開くダイアログ用
from PIL import Image, ImageTk # 画像データ用
import numpy as np # アフィン変換行列演算用
import os # ディレクトリ操作用
class Application
メモ2
import tkinter as tk
from tkinter import ttk
from PIL import Image, ImageTk
class SkyViewer:
def __init__(self, root, image_path):
self.root = root
self.root.title("Sky Image Viewer")
# Load image
self.
