adash333

from keras.preprocessing import image
import numpy as np
import sys

filepath = "./banana.jpg"
image = np.array(Image.open(filepath).resize((25, 25)))
print(filepath)
image = image.transpose(2, 0, 1)
image = image.reshape(1, image.shape[0] * image.shape[1] * image.shape[2]).astype("float32")[0]
result = model.predict_classes(np.array([image / 255.]))

adash333

import numpy as np

filepath = "./mikan.jpg"

# 画像を25x25pixelに変換し、1要素が[R,G,B]3要素を含む配列の25x25の２次元配列として読み込む。
# [R,G,B]はそれぞれが0-255の配列。
image = np.array(Image.open(filepath).resize((5, 5)))
print(filepath)
print(image)
            

adash333

# original code from fruit.py @ http://qiita.com/hiroeorz@github/items/ecb39ed4042ebdc0a957

from keras.models import Sequential
from keras.layers import Activation, Dense, Dropout
from keras.utils.np_utils import to_categorical
from keras.optimizers import Adagrad
from keras.optimizers import Adam
import numpy as np
from PIL import Image
import os

adash333

# このコードはfruit101.pyの続きです
# original code from http://qiita.com/secang0/items/1229212a37d8c9922901

import numpy as np
import matplotlib.pyplot as plt

filepath = "./tomato.jpg"

#画像の読み込み
#imgに三次元のnp.arrayの配列が格納される。

adash333

# original code from http://blog.mudatobunka.org/entry/2016/10/03/014520
# Anaconda 4.4.0 (64-bit)
# Python 3.6.1
# OpenCV3 ( http://www.lfd.uci.edu/~gohlke/pythonlibs/#opencv )
# image from https://www.photo-ac.com/

%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
import cv2

adash333

# jupyter notebook 上でのversion確認
import platform
print(platform.python_version())

import tensorflow as tf
tf.__version__

# 以下は、Anaconda Prompt 上でのversion確認

$ python --version

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# original code from http://qiita.com/HirofumiYashima/items/667cefcabf84278e6a67
# 1d Convolution neural network モデル を 定義

from keras.layers import Convolution1D, Dense, MaxPooling1D, Flatten
from keras.layers import Input
from keras.models import Model

print('Build model...')

#model = Sequential() 

adash333

# original code from http://qiita.com/gollowars/items/fb664c66f9a69e8c5cac

# -*- coding: utf-8 -*-

# 作成中

import cv2, matplotlib
import numpy as np
import matplotlib.pyplot as plt

adash333

# this code does not work
# error 
# chainer.utils.type_check.InvalidType: 
# Invalid operation is performed in: Convolution2DFunction (Forward)
# 
# Expect: in_types[0].ndim == 4
# Actual: 2 != 4

from flask import Flask, render_template, request, redirect, url_for

adash333

# original code from https://qiita.com/xolmon/items/0b82f4861cf93fd28e33

import os
import sys
import glob
import cv2
from PIL import Image
#import dlib

"""