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I0218 00:09:37.517771 18287 caffe.cpp:99] Use GPU with device ID 0
I0218 00:09:37.842236 18287 caffe.cpp:107] Starting Optimization
I0218 00:09:37.842380 18287 solver.cpp:32] Initializing solver from parameters: 
test_iter: 100
test_interval: 500
base_lr: 0.01
display: 100
max_iter: 10000
lr_policy: "inv"
gamma: 0.0001

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#include <stdio.h>  // for snprintf
#include <string>
#include <vector>
#include <iostream>
#include <fstream>

#include "boost/algorithm/string.hpp"
#include "boost/filesystem.hpp"
#include "boost/regex.hpp"
#include "google/protobuf/text_format.h"

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#include<opencv2/opencv.hpp>
#include<opencv2/imgproc.hpp>
#include<opencv2/imgcodecs/imgcodecs.hpp>
#include<opencv2/videoio.hpp>
#include<iostream>
#include<vector>

int main(int argc, char *argv[])
{
    cv::Mat frame;

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git init

git status

git add file.ext
  Add file.ext to tracking of GIT
  
git commit -m "Comment"
  Say changes are commited 
  

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from __future__ import division
import cv2
import cv2.cv as cv
import sys
import pdb

def detect(img, cascade):
        rects = cascade.detectMultiScale(img, scaleFactor=1.1, minNeighbors=3, minSize=(10, 10), flags = cv.CV_HAAR_SCALE_IMAGE)
        if len(rects) == 0:
                return []

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function [images, images_RGB] = readDataFromPath(DataPath, image_size)
% Reads the image content of the given rootpath. Assumes that we have a
% root folder includes sub folder for each class of images

images = {};
images_RGB = {};
root_dir = dir(DataPath);
root_dir = root_dir([root_dir.isdir]);
folder_names = {root_dir.name};
root_dir = root_dir(~ismember(folder_names,{'.','..'}))

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function im_array=gridsplit(im,grid_x,grid_y,width_fact,height_fact,left_extra,right_extra,top_extra,bottom_extra)
%Crops a grid of images out of one image
%   im_array=gridsplit(im,...) returns an image array im_array that has
%   size (MxNxPxR) in which M the width, N the height, P the channel and R
%   the amount of images destilled from the grid. So it puts all the 
%   gridparts in R which has size (grid_x*grid_y)
%   You get the idea. Otherwise more info on: www.timzaman.nl
%  
%   grid_x       = Amount of horizontal patches
%   grid_y       = Amount of vertical patches

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function[ROOT_DIR] = read_dir(PATH)
ROOT_DIR = dir(PATH);
% video_names = ls(fullfile(PATH,'*.mp4'));
file_names = {ROOT_DIR.name};
ROOT_DIR = ROOT_DIR(~ismember(file_names,{'.','..'}));

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%
% Normalize data columnwise to reduce different unit's effect
%

function[X_norm, val] = normalize_data(X,val)

% if ~exist('va','var')
%     [val,ind] = max(X,[],1);
% end
% X_norm = bsxfun(@rdivide, X, val);