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yjxiong

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yjxiong / Acc_Caffe merge guide
Created July 25, 2014 04:26
Caffe-Batch merge guide
Guide for merging accelerated convolution to Caffe.
====
*Yuanjun Xiong*
---
[TOC]
@yjxiong
yjxiong / gist:cee744796b13feeef3d2
Last active August 29, 2015 14:07
Get lmdb raw data.
CHECK_EQ(mdb_cursor_get(mdb_cursor_, &mdb_key_,
&mdb_value_, MDB_GET_CURRENT), MDB_SUCCESS);
datum.ParseFromArray(mdb_value_.mv_data,
mdb_value_.mv_size);
LOG(INFO)<<"Read "<<item_id<<" "<<(char*)mdb_key_.mv_data;
@yjxiong
yjxiong / ReadVectorToDatum
Last active August 29, 2015 14:16
Run with Vector Data
int ReadVectorToDatum(float* data_ptr, int data_len, Datum* datum){
//reshape and clear data
datum->set_channels(data_len);
datum->set_height(1);
datum->set_width(1);
datum->set_label(0);
datum->clear_data();
datum->clear_float_data();
@yjxiong
yjxiong / README.md
Last active August 29, 2015 14:23 — forked from jpetazzo/README.md
Provides a hub for zerorpc worker-client pattern

Zerohub

This is used to have a bunch of ZeroRPC clients and workers talking to each other.

WARNING: this is not compatible with heartbeats and streaming!

Clients connect to the "in" side of the hub.

Workers connect to the "out" side of the hub.

@yjxiong
yjxiong / bootstrap-tabs.html
Last active August 29, 2015 14:23 — forked from mnewt/bootstrap-tabs.html
<!DOCTYPE html>
<html lang="en">
<head>
<!-- Le styles -->
<link href="../bootstrap/css/bootstrap.css" rel="stylesheet">
<script type="text/javascript" src="http://ajax.googleapis.com/ajax/libs/jquery/1.7/jquery.js"></script>
</head>
<body>
@yjxiong
yjxiong / 1 - WIDER Baseline CNN.md
Last active November 14, 2018 00:14
The model spec for the baseline CNN Model on WIDER dataset

This gist holds the model spec for the baseline CNN model on the WIDER dataset.

The CNN structure is AlexNet. Network parameters are initialized using a model pretrained on ImageNet.

The weights can be downloaded at

cuhk_wider_baseline_cnn.caffemodel

Please refer to

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yjxiong / 1 - WIDER Deep Channel Fusing.md
Last active November 14, 2018 00:13

This gist holds the Caffe style model spec for the CVPR'15 paper

Recognize Complex Events from Static Images by Fusing Deep Channels

The model has two channels, one for appearance analysis, the other one for detection bounding box analysis.

The appearcance analysis channel has the similar structure of the AlexNet and thus is initialized using a model pretrained on ImageNet.

@yjxiong
yjxiong / nltk_word_extract.py
Created October 13, 2015 04:06
use NLTK to do word extraction
__author__ = 'alex'
# from pyspark import SparkContext, SparkConf
import nltk
from nltk.corpus import stopwords
sw = stopwords.words('english')
tk = nltk.tokenize.WordPunctTokenizer()
@yjxiong
yjxiong / build_flow_model.py
Last active December 1, 2019 10:45
__author__ = 'Yuanjun Xiong'
"""
This script will transform an image based Caffe model to its optic flow ready form
The basic approach is to average the three channels of the first set of convolution filters.
Averaged filters are then replicated K times to incorporate K input frames of optical flow maps.
Refer to "Towards Good Practices for Very Deep Two-Stream ConvNets" for more details.
======================================================================
Usage:
python build_flow_network.py <caffe root> <first layer name> <image model prototxt> <image model weights> <flow model prototxt> <flow model weights[out]>
@yjxiong
yjxiong / run.sh
Last active April 4, 2016 08:20
Download youtube videos in best format
youtube-dl -f 'bestvideo[ext=mp4]+bestaudio[ext=m4a]/bestvideo+bestaudio' \
--merge-output-format mp4 \
"http://www.youtube.com/watch?v=P9pzm5b6FFY"
# This command downloads the best available quality video together with the best audio. Then it combines them with the post-processor.