分类目录归档：计算机视觉
基于inception v3
http://download.tensorflow.org/models/image/imagenet/inception-2015-12-05.tgz
其中的 ++classify_image_graph_def.pb++ 文件就是模型文件，但是pb文件只能使用，不能继续训练。
++imagenet_synset_to_human_label_map.txt++ ++imagenet_2012_challenge_label_map_proto.pbtxt++ 这两个文件是数字编号对应物品英文描
# 验证码生成库
# pip install captcha
from captcha.image import ImageCaptcha
import numpy as np
from PIL import Image
import random
import sys
number = ['1','2','3','4','5','a','b','c','d','e','A','G']
from keras.applications.vgg16 import VGG16
from keras.models import Sequential
from keras.layers import Conv2D,MaxPool2D,Activation,Dropout,Flatten,Dense
from keras.optimizers import SGD
from keras.preprocessing.image import ImageDataGenerator,img_to_array,load_img
import numpy as np
#VGG16是用image
import keras
from keras.models import Sequential
from keras.layers import Conv2D,MaxPool2D,Dense,Dropout,Flatten
from keras.optimizers import Adam
from keras.preprocessing.image import load_img,ImageDataGenerator,img_to_array
# 定义模型
model = Sequential()
model.add(Conv2D(input_shape=(150,150,3),f第一种方法
# _*_ coding: utf-8 _*_
__author__ = 'daxiahy'
__date__ = '2018/7/4 15:16'
import os
import cv2
from cv2 import VideoWriter,VideoWriter_fourcc,imread,resize
import numpy as np
path = 'c:/hy/test/'
filelist = os.listdir(path)
fps = 1 #视频每秒24帧
size = (640, 480) #需要转