DAVIS2016+Matlab+Win10使用指南

项目地址：https://davischallenge.org/davis2016/code.html

如下图所示，在DAVIS2016-Download页面，下载matlab代码和数据集

注意事项：

目录结构：

DAVIS2016

    |--DAVIS

    |--davis-matlab-davis-2016

代码下载：

• 不要用   git clone，git clone的结果是下载了2017的代码。直接在github下载zip，解压。
•  解压时会遇到aux文件夹内容解压失败，这是因为aux是windows保留的名称，因此不能创建名称为aux的文件夹或文件。

创建文件夹aux_  :   ..DAVIS2016davis-matlab-davis-2016measuresaux_   

把aux中对应内容解压到aux_中

修改 ..DAVIS2016davis-matlab-davis-2016startup.m

参考https://github.com/davisvideochallenge/davis-matlab/tree/davis-2016

安装

• 修改db_root_dir.m，使得地址指向DAVIS数据库在你系统中解压的位置（包含文件夹Annotations和JPEGImages）。
• 运行startup.m，添加必要的路径和执行一些检查操作。
• 如果上一步出问题了，就执行build.m，进行重编译。（没用过）

代码使用

• demo_sweep.m 脚本包含了一个读取数据集图像和注释的demo.

% ------------------------------------------------------------------------ 
% Jordi Pont-Tuset - http://jponttuset.github.io/
% April 2016
% ------------------------------------------------------------------------ 
% This file is part of the DAVIS package presented in:
%   Federico Perazzi, Jordi Pont-Tuset, Brian McWilliams,
%   Luc Van Gool, Markus Gross, Alexander Sorkine-Hornung
%   A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation
%   CVPR 2016
% Please consider citing the paper if you use this code.
% ------------------------------------------------------------------------
% This script simply reads all images, annotations and
% shows how to sweep all results
% ------------------------------------------------------------------------

addpath(fullfile(db_matlab_root_dir,"db_util"));

% Name of a result technique
% result_id = "fcp";

% Get the ids of all sequences
seq_ids = db_seqs();
%seq_ids={"bear";"blackswan";"bmx-bumps";"bmx-trees";"boat";"breakdance";"breakdance-flare";"bus";"camel";"car-roundabout";"car-shadow";"car-turn";"cows";"dance-jump";"dance-twirl";"dog";"dog-agility";"drift-chicane";"drift-straight";"drift-turn";"elephant";"flamingo";"goat";"hike";"hockey";"horsejump-high";"horsejump-low";"kite-surf";"kite-walk";"libby";"lucia";"mallard-fly";"mallard-water";"motocross-bumps";"motocross-jump";"motorbike";"paragliding";"paragliding-launch";"parkour";"rhino";"rollerblade";"scooter-black";"scooter-gray";"soapbox";"soccerball";"stroller";"surf";"swing";"tennis";"train"};

% Sweep all sequences
for s_id = 1:length(seq_ids)
    
    % Get all frame ids for that sequence
    frame_ids = db_frame_ids(seq_ids{s_id});
    %frame_ids={"00000","00001","00002","00003","00004","00005","00006","00007","00008","00009","00010"……};
    fprintf("%s contains %d images: 
",seq_ids{s_id},length(frame_ids));
    
    % Sweep all frames
    for f_id = 2:length(frame_ids)-1
        fprintf(".");

        % Read the original image
        image  = db_read_image(seq_ids{s_id}, frame_ids{f_id});
        %doing three things: 
        %construct the path of the reading images,
        %check whether it exit,
        %and read the image according to the path.
        %image_path = fullfile(db_im_dir, seq_id, [frame_id ".jpg"]);
        %image  = imread(imamge_path);
        
        
        % Read the object annotation
        annot  = db_read_annot(seq_ids{s_id}, frame_ids{f_id});
        
        % Read a result
%         result = db_read_result(seq_ids{s_id}, frame_ids{f_id}, result_id); 
    end
    fprintf("
");
end