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    發布日期: 2023-07-25
  • 語言: Matlab
  • 標簽: 行為識別??matlab??

資源簡介

基于姿勢的行為識別matlab程序,使用pose提取關節特征進行行為識別,matlab版本要2014年的,16年的估計也行

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代碼片段和文件信息

%?%?Copyright?(C)?2014?LEAR?Inria?Grenoble?France
%?
%?Permission?is?hereby?granted?free?of?charge?to?any?person?obtaining
%?a?copy?of?this?software?and?associated?documentation?files?(the
%?“Software“)?to?deal?in?the?Software?without?restriction?including
%?without?limitation?the?rights?to?use?copy?modify?merge?publish
%?distribute?sublicense?and/or?sell?copies?of?the?Software?and?to
%?permit?persons?to?whom?the?Software?is?furnished?to?do?so?subject?to
%?the?following?conditions:
%?
%?The?above?copyright?notice?and?this?permission?notice?shall?be
%?included?in?all?copies?or?substantial?portions?of?the?Software.
%?
%?THE?SOFTWARE?IS?PROVIDED?“AS?IS“?WITHOUT?WARRANTY?OF?ANY?KIND
%?EXPRESS?OR?IMPLIED?INCLUDING?BUT?NOT?LIMITED?TO?THE?WARRANTIES?OF
%?MERCHANTABILITY?FITNESS?FOR?A?PARTICULAR?PURPOSE?AND
%?NONINFRINGEMENT.?IN?NO?EVENT?SHALL?THE?AUTHORS?OR?COPYRIGHT?HOLDERS?BE
%?LIABLE?FOR?ANY?CLAIM?DAMAGES?OR?OTHER?LIABILITY?WHETHER?IN?AN?ACTION
%?OF?CONTRACT?TORT?OR?OTHERWISE?ARISING?FROM?OUT?OF?OR?IN?CONNECTION
%?WITH?THE?SOFTWARE?OR?THE?USE?OR?OTHER?DEALINGS?IN?THE?SOFTWARE.

%%
%?If?you?use?this?code?please?cite:?
%?@INPROCEEDINGS{cherian14?
%?author={Cherian?A.?and?Mairal?J.?and?Alahari?K.?and?Schmid?C.}?
%?booktitle={IEEE?Conference?on?Computer?Vision?and?Pattern?Recognition}?
%?title={Mixing?Body-Part?Sequences?for?Human?Pose?Estimation}?
%?year={2014}
%?}
%?
%?demo?code?main?file?to?run.
%?for?bugs?contact?anoop.cherian@inria.fr
%
warning?‘off‘;
startup();?%?set?some?paths

%?configure.?See?the?function?for?details.?You?need?to?set?the?cache?and
%?the?sequence?paths?in?the?config.
config?=?set_algo_parameters();?????

%?load?the?bodypart?model?learned?using?Yang?and?Ramanan?framework.
load?./data/FLIC_model.mat;%?the?13part?FLIC?human?pose?model.

%?get?the?dataset?and?gt?annotations
piw_data?=?get_piw_data(‘piw‘?config.data_path);

%?process?each?sequence?here?we?show?only?for?seq15?available?in?the
%?dataset?folder.?
detected_pose_type?=?struct(‘seq‘?{}?‘filename‘?{}?‘frame‘?{}?‘bestpose‘{});
detected_pose_seqs?=?repmat(detected_pose_type?[111]);
seqs?=?dir(config.data_path);?seqs?=?seqs(3:end);
all_detections?=?[];?gt_all?=?[];?mov?=?1;

%?for?every?sequence?in?the?selected_seqs?folder?(with?the?dataset)
for?s=1:length(seqs)
????fprintf(‘working?on?sequence?%s\n‘?seqs(s).name);

????%?read?the?frames?and?store?the?respective?groundtruth?annotations.
????seq_dir?=?[config.data_path?seqs(s).name?‘/‘];????
????frames?=?dir([seq_dir?‘/*.png‘]);????
????gt?=?get_groundtruth_for_seq(frames?piw_data);%?extract?gt?annotations?for?the?frames?in?seq
????gt_all?=?[gt_all?gt];?%?used?for?full?evaluation.

????%?now?we?are?ready?to?compute?the?part?sequences?and?recombination!???????????????
????try????????
????????load([config.data_store_path?‘detected_poses_‘?seqs(s).name]?‘detected_poses‘);?
????catch
????????detected_poses?=?EstimatePosesInVideo(seq_dir?model?1?config);???
????????save([config.data

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