ros 数据显示比较 evo安装

#安装&升级numpy
sudo pip install numpy -I

#检查权限
sudo pip install evo --user --upgrade

#安装evo
pip install evo --upgrade --no-binary evo
使用
evo_rpe tum ins_poses.txt ref_poses.txt -r full --plot --plot_mode xyz
选择两个文件
///选择tum 模式
// (choose from ‘kitti’, ‘tum’, ‘euroc’, ‘bag’)
/usage: evo_rpe kitti [-h] [-r {full,trans_part,rot_part,angle_deg,angle_rad}]
[-a] [-s] [–n_to_align N_TO_ALIGN] [–align_origin]
[-d DELTA] [-t DELTA_TOL] [-u {f,d,r,m}] [–all_pairs]
[-p] [–plot_mode {xy,xz,yx,yz,zx,zy,xyz}]
[–plot_colormap_max PLOT_COLORMAP_MAX]
[–plot_colormap_min PLOT_COLORMAP_MIN]
[–plot_colormap_max_percentile PLOT_COLORMAP_MAX_PERCENTILE]
[–plot_full_ref] [–ros_map_yaml ROS_MAP_YAML]
[–save_plot SAVE_PLOT] [–serialize_plot SERIALIZE_PLOT]
[–save_results SAVE_RESULTS] [–logfile LOGFILE]
[–no_warnings] [-v] [–silent] [–debug] [-c CONFIG]
ref_file est_file
/evo_rpe kitti: error: too few arguments