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https://github.com/likelyzhao/NetVlad-MxNet

NetVlad layer with MxNet
https://github.com/likelyzhao/NetVlad-MxNet

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NetVlad layer with MxNet

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# NetVlad-MxNet
NetVlad Training with MxNet

## steps:
1. prepare video scripts
2. cut frame and generate feature files
3. generate the label files
4. training

## prepare video
json list.
each line contains one json
the format should be contain sevral key words like:
```
{
"url":string,
"type":"video",
 "label":
{
   "name":“video_terror”,
   “type“: "video",
"version":"1",
"data":[
{
"label":string,
"segment":[float,float]# starttime,endtime
},
...
]
 }
}
```
### 字段详细解释:

|字段|类型|详细解释|
|---|---|---|
|url|string|视频的url路径(本地或者web)|
|type|string|类型 视频为`video`|
|name|string|标示,BK视频分类设置为:`video_terror`|
|version|string|版本信息,目前为`1`|
|label|string|BK的类别|
|segment|[float float]|开始和结束时间|

## cut frame and generate feature files @baobao

## generate the label files  @baobao

## training

### netvlad symbol

### dataiter

### training hyper param