matlab灰度处理代码-hand-tremor-freq-estimation:手震颤频率估计

上传者: 38582909 | 上传时间: 2023-03-14 01:35:33 | 文件大小: 108KB | 文件类型: ZIP
matlab灰色处理代码基于相位的视频震颤频率检测方法 实验设置如下: 经验1.1)欧拉频率估计:姿态估计+跟踪器+相位指针+相位指针上的FFT。 Exp 1.2)欧拉频率估计:姿势估计+跟踪器+灰色+ FFT超过灰色。 将exp1.1与1.2进行比较以显示相位的影响。 Exp 2.1)拉格朗日频率估计:所有帧的姿态估计+关节(x,y)上的FFT(无平滑度)。 Exp 2.2)拉格朗日频率估计:所有帧的姿态估计+跟踪器+关节(x,y)上的FFT(加上跟踪器)。 比较exp1.1与2.1以显示使用欧拉坐标的重要性。 所需包装: -对于图像处理,请从中进行编译,否则您将错过一些视频处理功能。 -对于姿势估计部分,如果您想重新训练CPM网络,请从中安装自定义版本。 -使用复杂的可控金字塔生成相位图像,请使用以下命令进行安装:sudo pip install perceptual。 -为了使用卡尔曼滤波器平滑关节轨迹,请安装:sudo pip install filterpy。 安装 运行代码以获取模型文件。 $ src/get_model.sh 如果上述方法失败,请与我联系以获取Google

文件下载

资源详情

[{"title":"( 45 个子文件 108KB ) matlab灰度处理代码-hand-tremor-freq-estimation:手震颤频率估计","children":[{"title":"hand-tremor-freq-estimation-master","children":[{"title":"src","children":[{"title":"video_preprocessing.py <span style='color:#111;'> 9.21KB </span>","children":null,"spread":false},{"title":"util.py <span style='color:#111;'> 10.55KB </span>","children":null,"spread":false},{"title":"pe_and_crop.py <span style='color:#111;'> 6.86KB </span>","children":null,"spread":false},{"title":"sim.py <span style='color:#111;'> 7.43KB </span>","children":null,"spread":false},{"title":"video_in_frame.py <span style='color:#111;'> 1.99KB </span>","children":null,"spread":false},{"title":"kalman_tracking.py <span style='color:#111;'> 6.55KB </span>","children":null,"spread":false},{"title":"get_all_task_names.py <span style='color:#111;'> 789B </span>","children":null,"spread":false},{"title":"tfd_phase_joint_kal_y_cor.py <span style='color:#111;'> 23.91KB </span>","children":null,"spread":false},{"title":"cpm.py <span style='color:#111;'> 9.12KB </span>","children":null,"spread":false},{"title":"error_analysis.py <span style='color:#111;'> 42.90KB </span>","children":null,"spread":false},{"title":"metric.py <span style='color:#111;'> 7.28KB </span>","children":null,"spread":false},{"title":"category_err_analysis.py <span style='color:#111;'> 34.87KB </span>","children":null,"spread":false},{"title":"dl_model_from_gd.py <span style='color:#111;'> 1.41KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"visualize.py <span style='color:#111;'> 4.79KB </span>","children":null,"spread":false},{"title":"tpd.py <span style='color:#111;'> 10.38KB </span>","children":null,"spread":false},{"title":"io_video.py <span style='color:#111;'> 6.06KB </span>","children":null,"spread":false},{"title":"filterbank.py <span style='color:#111;'> 7.71KB </span>","children":null,"spread":false},{"title":"config <span style='color:#111;'> 737B </span>","children":null,"spread":false},{"title":"tsk_error_anaylsis.py <span style='color:#111;'> 14.79KB </span>","children":null,"spread":false},{"title":"demo.py <span style='color:#111;'> 12.27KB </span>","children":null,"spread":false},{"title":"tfd.py <span style='color:#111;'> 17.61KB </span>","children":null,"spread":false},{"title":"exp2_2_prepare.py <span style='color:#111;'> 3.56KB </span>","children":null,"spread":false},{"title":"phase_method_evaluate.py <span style='color:#111;'> 2.45KB </span>","children":null,"spread":false},{"title":"get_model.sh <span style='color:#111;'> 950B </span>","children":null,"spread":false},{"title":"logger.py <span style='color:#111;'> 1.54KB </span>","children":null,"spread":false},{"title":"evaluate.py <span style='color:#111;'> 14.49KB </span>","children":null,"spread":false},{"title":"tfd_phase_joint.py <span style='color:#111;'> 19.08KB </span>","children":null,"spread":false},{"title":"fftm.py <span style='color:#111;'> 5.38KB </span>","children":null,"spread":false},{"title":"tfd_phase.py <span style='color:#111;'> 19.64KB </span>","children":null,"spread":false},{"title":"video.py <span style='color:#111;'> 2.69KB </span>","children":null,"spread":false}],"spread":false},{"title":"README.MD <span style='color:#111;'> 4.77KB </span>","children":null,"spread":false},{"title":"src_matlab","children":[{"title":"natsort.m <span style='color:#111;'> 12.81KB </span>","children":null,"spread":false},{"title":"natsortfiles_doc.m <span style='color:#111;'> 6.02KB </span>","children":null,"spread":false},{"title":"natsortfiles.m <span style='color:#111;'> 5.56KB </span>","children":null,"spread":false},{"title":"exp2_1.m <span style='color:#111;'> 3.40KB </span>","children":null,"spread":false},{"title":"exp2_2.m <span style='color:#111;'> 3.93KB </span>","children":null,"spread":false},{"title":"sim_method_comparison.m <span style='color:#111;'> 6.31KB </span>","children":null,"spread":false},{"title":"psd_est_gt_comparison_all_top_neus.m <span style='color:#111;'> 1.94KB </span>","children":null,"spread":false},{"title":"generate_freq_psd_all_patient.m <span style='color:#111;'> 5.92KB </span>","children":null,"spread":false},{"title":"est_gt_comparison_all_Rust.m <span style='color:#111;'> 3.27KB </span>","children":null,"spread":false},{"title":"AccToFreq.m <span style='color:#111;'> 1.00KB </span>","children":null,"spread":false},{"title":"gen_freq_psd_all_Top_neus.m <span style='color:#111;'> 3.43KB </span>","children":null,"spread":false},{"title":"PosToSig.m <span style='color:#111;'> 599B </span>","children":null,"spread":false},{"title":"AccToFreqPSD.m <span style='color:#111;'> 2.42KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明