GitHub - KezhiLi/Tracking_Hypo: Worm tracking matlab code using multiple hypotheses

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Worm tracking matlab code using multiple hypotheses

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Name		Name	Last commit message	Last commit date
Latest commit History 30 Commits
Cal_Esti		Cal_Esti
Cal_Likelihood		Cal_Likelihood
Create_Test_Video		Create_Test_Video
Data_source		Data_source
Forecasting		Forecasting
GUI		GUI
Generate_Frenet_1		Generate_Frenet_1
Init		Init
Other		Other
Resampleing		Resampleing
Sample_Video/hdf5		Sample_Video/hdf5
Show_Wrom		Show_Wrom
Texture		Texture
pics		pics
poly2mask_gpu		poly2mask_gpu
profile		profile
pub_func		pub_func
results		results
Create_Test.m		Create_Test.m
Flow_Chart.docx		Flow_Chart.docx
Flow_Chart.pdf		Flow_Chart.pdf
Generate_Frenet_1.m		Generate_Frenet_1.m
Gui_mainbody.m		Gui_mainbody.m
Gui_test1.asv		Gui_test1.asv
Gui_test1.fig		Gui_test1.fig
Gui_test1.m		Gui_test1.m
Main_TwoLayers.m		Main_TwoLayers.m
ParameterTable.xlsx		ParameterTable.xlsx
User_Manual(1.0).docx		User_Manual(1.0).docx
User_Manual(1.0).pdf		User_Manual(1.0).pdf
draw_hypo_test.m		draw_hypo_test.m
frenet_6544.mat		frenet_6544.mat
read_hdf5.m		read_hdf5.m
read_hdf5_func.m		read_hdf5_func.m
read_hdf5_func_GUI.m		read_hdf5_func_GUI.m
readme.txt		readme.txt
texture_temp1.mat		texture_temp1.mat

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Readme

Run ‘Main_TwoLayers.m’ as the main function to track the single worm (approximately
2~3 seconds per frame, total time depends on the frame number of the video). The result is
a tracking video with ‘.tif’ format saved in the ‘results’ folder.

Details please refer to 'User_Manual(1.0)'.

See the Flow_Chart to have an idea of the functions. 


@copyright Kezhi Li, MRC, Imperial, Feb 2015.