guoxiaolu

digraph G{
    node [shape=record]
    a[label="ResNet50|{input:|output:}|{(224, 224, 3)|(2048)}"]
    b[label="InceptionV3|{input:|output:}|{(299, 299, 3)|(2048)}"]
    #c[label="Xception|{input:|output:}|{(299, 299, 3)|(2048)}"]
    Merge[label="Merge|{input:|output:}|{(2, 2048)|(4096)}"]
    Dropout[label="Dropout|Rate:|0.5"]
    Output[label="Output|{input:|output:}|{(4096)|(365)}"]
    Image -> a -> Merge
    Image -> b -> Merge

guoxiaolu

from theano import function, config, shared, tensor
import numpy
import time

vlen = 10 * 30 * 768  # 10 x #cores x # threads per core
iters = 1000

rng = numpy.random.RandomState(22)
x = shared(numpy.asarray(rng.rand(vlen), config.floatX))
f = function([], tensor.exp(x))

guoxiaolu

# !/usr/bin/python
# coding=utf-8

from PIL import Image
import os
import sys
def is_jpg(filename):
    try:
        i=Image.open(filename)
        return i.format =='JPEG'

guoxiaolu

digraph G{
    node [shape=record]
    a[label="ResNet50|{input:|output:}|{(224, 224, 3)|(2048)}"]
    b[label="InceptionV3|{input:|output:}|{(299, 299, 3)|(2048)}"]
    #c[label="Xception|{input:|output:}|{(299, 299, 3)|(2048)}"]
    Merge[label="Merge|{input:|output:}|{(2, 2048)|(4096)}"]
    Dropout[label="Dropout|Rate:|0.5"]
    Output[label="Output|{input:|output:}|{(4096)|(365)}"]
    Image -> a -> Merge
    Image -> b -> Merge

guoxiaolu

curl -s -XPUT 'http://localhost:9200/image_search_tmp?pretty' -d '{
    "settings" : {
        "analysis": {
                "analyzer": {
                   "payload_analyzer": {
                      "type": "custom",
                      "tokenizer":"whitespace",
                      "filter":"delimited_payload_filter"
                    }
          }

guoxiaolu

curl -o 1234.jpg --insecure https://encrypted-tbn0.gstatic.com/images\?q\=tbn:ANd9GcRInmM91ktXEFNjponNkRx9VUp8Xx9REIIsfZoGvZlt6ohBSLP7DQ --socks5-hostname 127.0.0.1:1080

bazel build -c opt --copt=-msse4.1 --copt=-msse4.2 tensorflow/contrib/lite/toco:toco

bazel run --config=opt --copt=-msse4.1 --copt=-msse4.2 \
  //tensorflow/contrib/lite/toco:toco -- \
  --input_file=/Users/Lavector/code/keras_to_tensorflow/mobilenet_regression.pb \
  --output_file=/Users/Lavector/mobilenet_regression.lite \
  --input_format=TENSORFLOW_GRAPHDEF \
  --output_format=TFLITE \

guoxiaolu

import os
import cv2
import numpy as np
from skimage.feature import blob_dog, blob_log, blob_doh
from math import sqrt
from time import time
from multiprocessing import Pool, Queue

def GetDiff(img0,img1,thresh_diff_pix):
    img_diff=img0-img1