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@shuokay
shuokay / mac zshrc
Created Jan 22, 2018
mac zshrc config
View mac zshrc
# If you come from bash you might have to change your $PATH.
# export PATH=$HOME/bin:/usr/local/bin:$PATH
# Path to your oh-my-zsh installation.
export ZSH=/Users/didi/.oh-my-zsh
# Set name of the theme to load. Optionally, if you set this to "random"
# it'll load a random theme each time that oh-my-zsh is loaded.
# See https://github.com/robbyrussell/oh-my-zsh/wiki/Themes
# ZSH_THEME="robbyrussell"
View tmux.conf
# remap prefix from 'C-b' to 'C-a'
# set -g default-terminal "screen-256color"
unbind C-b
set-option -g prefix C-a
bind-key C-a send-prefix
# split panes using | and -
bind / split-window -h -c "#{pane_current_path}"
bind - split-window -v -c "#{pane_current_path}"
unbind '"'
@shuokay
shuokay / detect.cc
Last active Feb 15, 2019
SSD inference using MXNet C API
View detect.cc
#include <stdio.h>
// Path for c_predict_api
#include <mxnet/c_predict_api.h>
#include <iostream>
#include <fstream>
#include <string>
#include <vector>
View MXNet config.mk
#-------------------------------------------------------------------------------
# Template configuration for compiling mxnet
#
# If you want to change the configuration, please use the following
# steps. Assume you are on the root directory of mxnet. First copy the this
# file so that any local changes will be ignored by git
#
# $ cp make/config.mk .
#
# Next modify the according entries, and then compile by
@shuokay
shuokay / log.txt
Last active Oct 19, 2016
mxnet wavenet training log
View log.txt
[tts] python train.py master ✭ ✱ [78/1825]
2016-10-19 14:34:39,821 Start training with [gpu(3)]
2016-10-19 14:35:02,437 Epoch[0] Batch [10] Speed: 8.75 samples/sec Train-mymae=57.056759
2016-10-19 14:35:22,736 Epoch[0] Batch [20] Speed: 7.88 samples/sec Train-mymae=30.858146
2016-10-19 14:35:42,603 Epoch[0] Batch [30] Speed: 8.05 samples/sec Train-mymae=29.581398
2016-10-19 14:36:03,529 Epoch[0] Batch [40] Speed: 7.65 samples/sec Train-mymae=28.388074
2016-10-19 14:36:23,578 Epoch[0] Batch [50] Speed: 7.98 samples/sec Train-mymae=29.426588
2016-10-19 14:36:44,323 Epoch[0] Batch [60] Speed: 7.71 samples/sec Train-mymae=29.216556
2016-10-19 14:37:06,312 Epoch[0] Batch [70] Speed: 7.28 samples/sec Train-mymae=27.873466
2016-10-19 14:37:26,722 Epoch[0] Batch [80] Speed: 7.84 samples/sec Train-mymae=29.810743
View C++ Predict with caffe
#include <cuda_runtime.h>
#include <cstring>
#include <cstdlib>
#include <vector>
#include <string>
#include <iostream>
#include <stdio.h>
#include "caffe/caffe.hpp"
View C++ Predict with caffe
#include <cuda_runtime.h>
#include <cstring>
#include <cstdlib>
#include <vector>
#include <string>
#include <iostream>
#include <stdio.h>
#include "caffe/caffe.hpp"
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