tuan3w / visual_search Goto Github PK

A visual search engine based on Elasticsearch and Tensorflow

License: MIT License

Java 0.87% Python 17.56% Makefile 0.01% MATLAB 0.18% C++ 0.01% Cuda 0.49% CSS 0.41% HTML 0.64% JavaScript 79.67% Dockerfile 0.13% Shell 0.04%

visual-search elasticsearch tensorflow docker

visual_search's Introduction

Visual Search

A visual search engine based on Elasticsearch and Tensorflow (now fully dockerized to run it in up-to-date development environments).

Description

This repository contains code in Python 2.7 and utilizes Faster-RCNN (with VGG-16 as backbone) implemented in Tensorflow 0.12.1 to extract features from images. An Elasticsearch instance is used to store feature vectors of the corresponding images, along with a plugin to compute distance between them.

TODO: Replace the outdated Faster-RCNN with a faster and more accurate model (suggestions or any collaboration is welcomed).

Requirements

The setup assumes you have a running installation of nvidia-docker and driver version 367.48 or above.

Setup Elasticsearch

First, we need to build the Elasticsearch plugin to compute distance between feature vectors. Make sure that you have Maven installed.

cd elasticsearch/es-plugin
mvn install

Next, we need to create a docker network so that all other containers can resolve the IP address of our elasticsearch instance.

docker network create vs_es_net

Finally, start the elasticsearch container. It will automatically add the plugin, create a named docker volume for persistent storage and connect the container to the network we just created:

cd ../ && docker-compose up -d

Index images

In order to populate the elasticsearch db with images, we need to first process them with a feature extractor (Faster-RCNN). The indexer services can do this for any image we place inside visual_search/images.

First we build a dockerized environment for the object detection model to run in:

cd visual_search && docker build --tag visual_search_env .

Here we use an earlier version implemented by @Endernewton. To get pre-trained model, you can visit release section, download and extract file model.tar.gz to visual_search/models/ folder. Optionally, you can run:

mkdir models && cd models
curl https://github.com/tuan3w/visual_search/releases/download/v0.0.1/model.tar.gz
tar -xvf model.tar.gz

To index the desired images, copy the corresponding compose file to the proper directory and start the indexing service:

cd ../ && cp indexer/docker-compose.yml .
docker-compose up

Start server

Before starting the server, again copy the corresponding compose file (overwrite the one used for indexing data) into the proper directory and start the containerized flask server:

cp server/docker-compose.yml .
docker-compose up -d

Now, you can access the link http://localhost:5000/static/index.html to test the search engine.

LICENSE

MIT

visual_search's People

Contributors

Stargazers

Watchers

Forkers

kaishijeng ml-lab rlugojr caomw jjdblast adrianhust hitum-dev boluoyu sunjieee saurabp benjamesbabala wanjinchang lyk125 joyhuang9473 nilportugues likeucode chagge tuantranhuu1294 estebansiravegna coyotey shiyongde amzhanghan kongx73 tonywang16 eric013 heroonline thremains dengql zwang96-dl jrcondenast lambdalpha chaomas yiqinggit andygoo tigerneil johnsmith0209 chenkaigithub xiesibo eagles2f tpeng rockybean carloxiang xiangxd zhumeilian woodstone121 nanbo99 adam3asy tspannhw guptam praveenmunagapati cn-chengjiangang silasxue yangboz sinianyutian paul1989889 shafiahmed slumdunking airob fresty moqiong alanzh xuweijiang songfj hdulbj yxk9810 from1900 lijuny loveguo chaomass bigdataedison weizenghui gengcode shuanglzy heiyixueren xcorg kyhoolee skywalker0606 kukupigs guxiaopihai xckouy mamba8 nguyentai1112 jefyjiang vanthaiunghoa yesiming frans06 chen-shixin zhouyonglong hiekay phucbui95 zoonono changwei0708 xjzhou wangqiang-qiniu rgbwoo louis83 zhangyanbo2007 sliu1013 qichenftw adonis2014

visual_search's Issues

elasticsearch error

File "/usr/lib/python2.7/site-packages/elasticsearch/connection/base.py", line 122, in _raise_error
raise HTTP_EXCEPTIONS.get(status_code, TransportError)(status_code, error_message, additional_info)
RequestError: TransportError(400, u'search_phase_execution_exception', u'Fielddata is disabled on text fields by default. Set fielddata=true on [bin_sigs] in order to load fielddata in memory by uninverting the inverted index. Note that this can however use significant memory.')

RequestError: TransportError(400, u'search_phase_execution_exception', u'Failed to compile inline script [hamming_score] using lang [native]')

Did you visualise the data with t-SNE or something? If yes are the scripts available?

speed is very slow

Thank you for providing a great program.
I want to process 1 million images.
I used tensorflow version 0.12.1 and EC2/p2.xlarge.
The speed is very slow.
Do you have a way to solve something?

where is the file "elasticsearch.yml" ?

Fielddata related error.

Finally, running

http://localhost:5000/static/index.html

HTML working well ,but after search ,the server thrown:

File "/home/user/anaconda3/envs/py2/lib/python2.7/site-packages/elasticsearch/connection/http_urllib3.py", line 128, in perform_request
self._raise_error(response.status, raw_data)
File "/home/user/anaconda3/envs/py2/lib/python2.7/site-packages/elasticsearch/connection/base.py", line 122, in _raise_error
raise HTTP_EXCEPTIONS.get(status_code, TransportError)(status_code, error_message, additional_info)
RequestError: TransportError(400, u'search_phase_execution_exception', u'Fielddata is disabled on text fields by default. Set fielddata=true on [bin_sigs] in order to load fielddata in memory by uninverting the inverted index. Note that this can however use significant memory.')

Also the HTML console.log("Upload error").

index_es.py ?

Hi, There is something wrong with my environment.
I want to know something about it.
What are the data stored to es?
thanks！

ValueError: Dimension 0 in both shapes must be equal, but are 2 and 1 From merging shape 1 with other shapes. for 'vgg16_default/rpn_cls_score_reshape/concat/concat_dim' (op: 'Pack') with input shapes: [1], [2], [1].

Hi, all
Help! After downloading imagenet_weights and faster_rcnn_models from pre-trained model here， I run index_es.py like this:

export WEIGHT_PATH=/home/ceshi/search/visual_search/imagenet_weights/vgg16.weights
export MODEL_PATH=/home/ceshi/search/visual_search/faster_rcnn_models/vgg16_faster_rcnn_iter_70000.ckpt
export INPUT=/home/ceshi/search/visual_search/INPUT

python index_es.py --weight $WEIGHT_PATH --model_path $MODEL_PATH --input $INPUT

Got this error:

Loading caffe weights...
Done!
Traceback (most recent call last):
  File "index_es.py", line 104, in <module>
    sess=sess)
  File "/home/ceshi/search/visual_search/visual_search/extractor.py", line 53, in __init__
    tag='default', anchor_scales=anchors)
  File "/home/ceshi/search/visual_search/visual_search/lib/nets/vgg16.py", line 496, in create_architecture
    rois, cls_prob, bbox_pred = self._vgg16_from_imagenet(sess, training)
  File "/home/ceshi/search/visual_search/visual_search/lib/nets/vgg16.py", line 347, in _vgg16_from_imagenet
    rpn_cls_score_reshape = self._reshape_layer(rpn_cls_score, 2, "rpn_cls_score_reshape")
  File "/home/ceshi/search/visual_search/visual_search/lib/nets/vgg16.py", line 178, in _reshape_layer
    reshaped = tf.reshape(to_caffe, tf.concat(0, [[self._batch_size], [num_dim, -1], [input_shape[2]]]))
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/array_ops.py", line 1061, in concat
    dtype=dtypes.int32).get_shape(
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 611, in convert_to_tensor
    as_ref=False)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 676, in internal_convert_to_tensor
    ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/array_ops.py", line 937, in _autopacking_conversion_function
    return _autopacking_helper(v, inferred_dtype, name or "packed")
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/array_ops.py", line 900, in _autopacking_helper
    return gen_array_ops._pack(elems_as_tensors, name=scope)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/gen_array_ops.py", line 1949, in _pack
    result = _op_def_lib.apply_op("Pack", values=values, axis=axis, name=name)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/op_def_library.py", line 767, in apply_op
    op_def=op_def)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 2632, in create_op
    set_shapes_for_outputs(ret)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 1911, in set_shapes_for_outputs
    shapes = shape_func(op)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 1861, in call_with_requiring
    return call_cpp_shape_fn(op, require_shape_fn=True)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/common_shapes.py", line 595, in call_cpp_shape_fn
    require_shape_fn)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/common_shapes.py", line 659, in _call_cpp_shape_fn_impl
    raise ValueError(err.message)
ValueError: Dimension 0 in both shapes must be equal, but are 2 and 1
	From merging shape 1 with other shapes. for 'vgg16_default/rpn_cls_score_reshape/concat/concat_dim' (op: 'Pack') with input shapes: [1], [2], [1].

I also tried endernewton/tf-faster-rcnn, and the demo.py works ok. Which goes:

2017-09-15 08:51:59.013136: I tensorflow/core/common_runtime/gpu/gpu_device.cc:955] Found device 0 with properties:
name: Tesla K40m
major: 3 minor: 5 memoryClockRate (GHz) 0.745
pciBusID 0000:04:00.0
Total memory: 11.17GiB
Free memory: 10.92GiB
2017-09-15 08:51:59.013227: I tensorflow/core/common_runtime/gpu/gpu_device.cc:976] DMA: 0
2017-09-15 08:51:59.013270: I tensorflow/core/common_runtime/gpu/gpu_device.cc:986] 0:   Y
2017-09-15 08:51:59.013313: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1045] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla K40m, pci bus id: 0000:04:00.0)
Loaded network output/res101/voc_2007_trainval+voc_2012_trainval/default/res101_faster_rcnn_iter_110000.ckpt
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Demo for data/demo/000456.jpg
Detection took 2.319s for 300 object proposals
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Demo for data/demo/000542.jpg
Detection took 0.659s for 151 object proposals
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Demo for data/demo/001150.jpg
Detection took 0.724s for 178 object proposals
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Demo for data/demo/001763.jpg
Detection took 0.844s for 224 object proposals
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Demo for data/demo/004545.jpg
Detection took 0.413s for 300 object proposals

environment：
os: Ubuntu 16.04
tf: tensorflow-gpu (1.3.0) 1.2.0 also does not work
Python: 2.7.12
gpu: Tesla K40m
Cuda compilation tools, release 8.0, V8.0.61
cudnn tried 5.0/6/7

TypeError: 'Convolution2D' object has no attribute 'getitem'

I convent the VGG16 model to pkl as instructed by https://github.com/mitmul/chainer-faster-rcnn/issues/15：

import pickle
from chainer.links.caffe import CaffeFunction

vgg16 = CaffeFunction('VGG_ILSVRC_16_layers.caffemodel')
pickle.dump(vgg16, open('VGG16.model', 'wb'))

Got TypeError when run python index.es.py.

2017-06-23 09:23:26.732486: I tensorflow/core/common_runtime/gpu/gpu_device.cc:940] Found device 0 with properties:
name: Tesla K80
major: 3 minor: 7 memoryClockRate (GHz) 0.8235
pciBusID 0000:00:1e.0
Total memory: 11.17GiB
Free memory: 11.11GiB
2017-06-23 09:23:26.732530: I tensorflow/core/common_runtime/gpu/gpu_device.cc:961] DMA: 0
2017-06-23 09:23:26.732539: I tensorflow/core/common_runtime/gpu/gpu_device.cc:971] 0: Y
2017-06-23 09:23:26.732555: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1030] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla K80, pci bus id: 0000:00:1e.0)
Namespace(es_host='localhost', es_index='im_data', es_port=9200, es_type='obj', input='tf-faster-rcnn/data/demo/', model_path='./coco_2014_train+coco_2014_valminusminival/vgg16_faster_rcnn_iter_490000.ckpt.data-00000-of-00001', weight='./VGG16.model')
Loading caffe weights...
Done!
Traceback (most recent call last):
File "index_es.py", line 104, in
sess=sess)
File "/home/ubuntu/workspace/visual_search/visual_search/extractor.py", line 53, in init
tag='default', anchor_scales=anchors)
File "/home/ubuntu/workspace/visual_search/visual_search/lib/nets/vgg16.py", line 496, in create_architecture
rois, cls_prob, bbox_pred = self._vgg16_from_imagenet(sess, training)
File "/home/ubuntu/workspace/visual_search/visual_search/lib/nets/vgg16.py", line 303, in _vgg16_from_imagenet
net = self._conv_layer(sess, self._image, "conv1_1", False)
File "/home/ubuntu/workspace/visual_search/visual_search/lib/nets/vgg16.py", line 111, in _conv_layer
filt=self._get_conv_filter(sess, name, trainable=trainable)
File "/home/ubuntu/workspace/visual_search/visual_search/lib/nets/vgg16.py", line 64, in _get_conv_filter
w=self._caffe2tf_filter(name)
File "/home/ubuntu/workspace/visual_search/visual_search/lib/nets/vgg16.py", line 59, in _caffe2tf_filter
f=self._caffe_weights(name)
File "/home/ubuntu/workspace/visual_search/visual_search/lib/nets/vgg16.py", line 52, in _caffe_weights
return layer['weights']
TypeError: 'Convolution2D' object has no attribute 'getitem'

Connect refuse error

when i exec that 'docker exec -it elasticsearch_elasticsearch_1 elasticsearch-plugin install http://localhost:8000/esplugin-0.0.1.zip' statements

error info:
-> Downloading http://localhost:8000/esplugin-0.0.1.zip
Exception in thread "main" java.net.ConnectException: Connection refused (Connection refused)
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
at sun.net.www.protocol.http.HttpURLConnection$10.run(HttpURLConnection.java:1926)
at sun.net.www.protocol.http.HttpURLConnection$10.run(HttpURLConnection.java:1921)
at java.security.AccessController.doPrivileged(Native Method)
at sun.net.www.protocol.http.HttpURLConnection.getChainedException(HttpURLConnection.java:1920)
at sun.net.www.protocol.http.HttpURLConnection.getInputStream0(HttpURLConnection.java:1490)
at sun.net.www.protocol.http.HttpURLConnection.getInputStream(HttpURLConnection.java:1474)
at org.elasticsearch.plugins.InstallPluginCommand.downloadZip(InstallPluginCommand.java:279)
at org.elasticsearch.plugins.InstallPluginCommand.download(InstallPluginCommand.java:254)
at org.elasticsearch.plugins.InstallPluginCommand.execute(InstallPluginCommand.java:210)
at org.elasticsearch.plugins.InstallPluginCommand.execute(InstallPluginCommand.java:195)
at org.elasticsearch.cli.SettingCommand.execute(SettingCommand.java:54)
at org.elasticsearch.cli.Command.mainWithoutErrorHandling(Command.java:122)
at org.elasticsearch.cli.MultiCommand.execute(MultiCommand.java:69)
at org.elasticsearch.cli.Command.mainWithoutErrorHandling(Command.java:122)
at org.elasticsearch.cli.Command.main(Command.java:88)
at org.elasticsearch.plugins.PluginCli.main(PluginCli.java:47)
Caused by: java.net.ConnectException: Connection refused (Connection refused)
at java.net.PlainSocketImpl.socketConnect(Native Method)
at java.net.AbstractPlainSocketImpl.doConnect(AbstractPlainSocketImpl.java:350)
at java.net.AbstractPlainSocketImpl.connectToAddress(AbstractPlainSocketImpl.java:206)
at java.net.AbstractPlainSocketImpl.connect(AbstractPlainSocketImpl.java:188)
at java.net.SocksSocketImpl.connect(SocksSocketImpl.java:392)
at java.net.Socket.connect(Socket.java:589)
at java.net.Socket.connect(Socket.java:538)
at sun.net.NetworkClient.doConnect(NetworkClient.java:180)
at sun.net.www.http.HttpClient.openServer(HttpClient.java:432)
at sun.net.www.http.HttpClient.openServer(HttpClient.java:527)
at sun.net.www.http.HttpClient.(HttpClient.java:211)
at sun.net.www.http.HttpClient.New(HttpClient.java:308)
at sun.net.www.http.HttpClient.New(HttpClient.java:326)
at sun.net.www.protocol.http.HttpURLConnection.getNewHttpClient(HttpURLConnection.java:1202)
at sun.net.www.protocol.http.HttpURLConnection.plainConnect0(HttpURLConnection.java:1138)
at sun.net.www.protocol.http.HttpURLConnection.plainConnect(HttpURLConnection.java:1032)
at sun.net.www.protocol.http.HttpURLConnection.connect(HttpURLConnection.java:966)
at sun.net.www.protocol.http.HttpURLConnection.getInputStream0(HttpURLConnection.java:1546)
at sun.net.www.protocol.http.HttpURLConnection.getInputStream(HttpURLConnection.java:1474)
at sun.net.www.protocol.http.HttpURLConnection.getHeaderField(HttpURLConnection.java:2982)
at java.net.URLConnection.getHeaderFieldLong(URLConnection.java:629)
at java.net.URLConnection.getContentLengthLong(URLConnection.java:501)
at java.net.URLConnection.getContentLength(URLConnection.java:485)
at org.elasticsearch.plugins.InstallPluginCommand.downloadZip(InstallPluginCommand.java:278)
... 9 more

but localhost:8000 is open
3Q

whether support elasticseach6.8.0 version?

we want to test on elasticsearch6.8.0 , whether support it? if not, what do we need to do? thanks

mvn install error

I run : mvn install
An error message appears：
Warning: JAVA_HOME environment variable is not set.
[INFO] Scanning for projects...
[INFO] ------------------------------------------------------------------------
[INFO] BUILD FAILURE
[INFO] ------------------------------------------------------------------------
[INFO] Total time: 0.056 s
[INFO] Finished at: 2018-11-07T10:53:54+08:00
[INFO] Final Memory: 14M/481M
[INFO] ------------------------------------------------------------------------
[ERROR] The goal you specified requires a project to execute but there is no POM in this directory (/home/launchx-16-500/visual_search/elasticsearch). Please verify you invoked Maven from the correct directory. -> [Help 1]
[ERROR]
[ERROR] To see the full stack trace of the errors, re-run Maven with the -e switch.
[ERROR] Re-run Maven using the -X switch to enable full debug logging.
[ERROR]
[ERROR] For more information about the errors and possible solutions, please read the following articles:
[ERROR] [Help 1] http://cwiki.apache.org/confluence/display/MAVEN/MissingProjectException

Could not find plugin class

I got an exception when i run ./bin/elasticsearch.
I install the plugin in my local elastic. i did't use the docker.
Could you give me some ideas?
Error:
[2017-11-16T16:53:20,829][WARN ][o.e.b.ElasticsearchUncaughtExceptionHandler] [] uncaught exception in thread [main]
org.elasticsearch.bootstrap.StartupException: ElasticsearchException[Could not find plugin class [com.vcc.bigdata.elasticsearch.plugin.EsScorerPlugin]]; nested: ClassNotFoundException[com.vcc.bigdata.elasticsearch.plugin.EsScorerPlugin];
at org.elasticsearch.bootstrap.Elasticsearch.init(Elasticsearch.java:125) ~[elasticsearch-5.2.0.jar:5.2.0]
at org.elasticsearch.bootstrap.Elasticsearch.execute(Elasticsearch.java:112) ~[elasticsearch-5.2.0.jar:5.2.0]
at org.elasticsearch.cli.SettingCommand.execute(SettingCommand.java:54) ~[elasticsearch-5.2.0.jar:5.2.0]
at org.elasticsearch.cli.Command.mainWithoutErrorHandling(Command.java:122) ~[elasticsearch-5.2.0.jar:5.2.0]
at org.elasticsearch.cli.Command.main(Command.java:88) ~[elasticsearch-5.2.0.jar:5.2.0]
at org.elasticsearch.bootstrap.Elasticsearch.main(Elasticsearch.java:89) ~[elasticsearch-5.2.0.jar:5.2.0]
at org.elasticsearch.bootstrap.Elasticsearch.main(Elasticsearch.java:82) ~[elasticsearch-5.2.0.jar:5.2.0]
Caused by: org.elasticsearch.ElasticsearchException: Could not find plugin class [com.vcc.bigdata.elasticsearch.plugin.EsScorerPlugin]
at org.elasticsearch.plugins.PluginsService.loadPluginClass(PluginsService.java:366) ~[elasticsearch-5.2.0.jar:5.2.0]
at org.elasticsearch.plugins.PluginsService.loadBundles(PluginsService.java:335) ~[elasticsearch-5.2.0.jar:5.2.0]
at org.elasticsearch.plugins.PluginsService.(PluginsService.java:132) ~[elasticsearch-5.2.0.jar:5.2.0]
at org.elasticsearch.node.Node.(Node.java:297) ~[elasticsearch-5.2.0.jar:5.2.0]
at org.elasticsearch.node.Node.(Node.java:232) ~[elasticsearch-5.2.0.jar:5.2.0]
at org.elasticsearch.bootstrap.Bootstrap$6.(Bootstrap.java:241) ~[elasticsearch-5.2.0.jar:5.2.0]
at org.elasticsearch.bootstrap.Bootstrap.setup(Bootstrap.java:241) ~[elasticsearch-5.2.0.jar:5.2.0]
at org.elasticsearch.bootstrap.Bootstrap.init(Bootstrap.java:333) ~[elasticsearch-5.2.0.jar:5.2.0]
at org.elasticsearch.bootstrap.Elasticsearch.init(Elasticsearch.java:121) ~[elasticsearch-5.2.0.jar:5.2.0]
... 6 more
Caused by: java.lang.ClassNotFoundException: com.vcc.bigdata.elasticsearch.plugin.EsScorerPlugin
at java.net.URLClassLoader.findClass(URLClassLoader.java:381) ~[?:1.8.0_141]
at java.lang.ClassLoader.loadClass(ClassLoader.java:424) ~[?:1.8.0_141]
at java.net.FactoryURLClassLoader.loadClass(URLClassLoader.java:814) ~[?:1.8.0_141]
at java.lang.ClassLoader.loadClass(ClassLoader.java:357) ~[?:1.8.0_141]
at org.elasticsearch.plugins.PluginsService.loadPluginClass(PluginsService.java:364) ~[elasticsearch-5.2.0.jar:5.2.0]
at org.elasticsearch.plugins.PluginsService.loadBundles(PluginsService.java:335) ~[elasticsearch-5.2.0.jar:5.2.0]
at org.elasticsearch.plugins.PluginsService.(PluginsService.java:132) ~[elasticsearch-5.2.0.jar:5.2.0]
at org.elasticsearch.node.Node.(Node.java:297) ~[elasticsearch-5.2.0.jar:5.2.0]
at org.elasticsearch.node.Node.(Node.java:232) ~[elasticsearch-5.2.0.jar:5.2.0]
at org.elasticsearch.bootstrap.Bootstrap$6.(Bootstrap.java:241) ~[elasticsearch-5.2.0.jar:5.2.0]
at org.elasticsearch.bootstrap.Bootstrap.setup(Bootstrap.java:241) ~[elasticsearch-5.2.0.jar:5.2.0]
at org.elasticsearch.bootstrap.Bootstrap.init(Bootstrap.java:333) ~[elasticsearch-5.2.0.jar:5.2.0]
at org.elasticsearch.bootstrap.Elasticsearch.init(Elasticsearch.java:121) ~[elasticsearch-5.2.0.jar:5.2.0]
... 6 more

container is not running

Hello!
I can't execute the following code:
docker exec -it elasticsearch_elasticsearch_1 elasticsearch-plugin install http://localhost:8000/esplugin-0.0.1.zip

it throws me the following error:
Error response from daemon: Container 4ba4f9eaff4670f9ab29ccb8418a82f4dd9d219a3bc7581944e7f166665daa8d is not running
I googled about "container is not running" but the results did not help.
What can I do with it?

Thank you!

Retrieval speed problem

Hello, I want to ask how fast to search in this way, I have 140000 images, given a picture retrieval of the most similar 5 pictures, can be recalled in 1 second?

你好，vgg_weights文件下载不到，能传我这个文件嘛？谢谢

index error

when i run
"python index_es.py --weight /work/misc/imagenet_weights --model_path /work/misc/faster_rcnn_models --input /work/misc/data/"

there is a error below

" File "index_es.py", line 14, in
from extractor import Extractor
File "/root/work/visual_search/visual_search/extractor.py", line 2, in
from model.test import extract_regions_and_feats
File "/root/work/visual_search/visual_search/lib/model/test.py", line 14, in
from utils.cython_nms import nms, nms_new
ImportError: No module named cython_nms"

how can i solve it? please help

vgg16 load model error

i download pretrained vgg16 model, get error like this , it seem net different with pretrained vgg16
**tensorflow.python.framework.errors_impl.NotFoundError: Tensor name "vgg16_default/conv3_3/bias" not found in checkpoint files imagenet_weights/vgg16.ckpt
[[Node: save/RestoreV2_16 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_16/tensor_names, save/RestoreV2_16/shape_and_slices)]]

Caused by op u'save/RestoreV2_16', defined at:
File "index_es.py", line 104, in
sess=sess)
File "/home/luolaihu/github/visual_search/visual_search/extractor.py", line 56, in init
saver = tf.train.Saver()
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.py", line 1040, in init
self.build()
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.py", line 1070, in build
restore_sequentially=self._restore_sequentially)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.py", line 675, in build
restore_sequentially, reshape)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.py", line 402, in _AddRestoreOps
tensors = self.restore_op(filename_tensor, saveable, preferred_shard)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.py", line 242, in restore_op
[spec.tensor.dtype])[0])
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/gen_io_ops.py", line 668, in restore_v2
dtypes=dtypes, name=name)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/op_def_library.py", line 763, in apply_op
op_def=op_def)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 2327, in create_op
original_op=self._default_original_op, op_def=op_def)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 1226, in init
self._traceback = _extract_stack()

NotFoundError (see above for traceback): Tensor name "vgg16_default/conv3_3/bias" not found in checkpoint files imagenet_weights/vgg16.ckpt
[[Node: save/RestoreV2_16 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_16/tensor_names, save/RestoreV2_16/shape_and_slices)]]
**