From e6d3ce683bd87219c4cc3d2e2869accf8fed9130 Mon Sep 17 00:00:00 2001 From: Guillaume Raffy Date: Thu, 1 Dec 2022 16:12:36 +0100 Subject: [PATCH] added a sample to test grassloper --- .gitignore | 12 +- samples/TracTrac/sample002_track.hdf5 | Bin 0 -> 19488 bytes samples/TracTrac/sample002_track.txt | 231 ++++++++++++++++++++++++++ samples/sample002.avi | Bin 0 -> 35196 bytes samples/sample002_par.txt | 40 +++++ 5 files changed, 282 insertions(+), 1 deletion(-) create mode 100644 samples/TracTrac/sample002_track.hdf5 create mode 100644 samples/TracTrac/sample002_track.txt create mode 100644 samples/sample002.avi create mode 100644 samples/sample002_par.txt diff --git a/.gitignore b/.gitignore index 5bf0293..678667a 100644 --- a/.gitignore +++ b/.gitignore @@ -1,3 +1,13 @@ grassloper/__pycache__ grassloper.egg-info -samples/TracTrac +samples/sample001_img +samples/sample002_img +samples/TracTrac/sample001* +samples/TracTrac/sample002*.tif +samples/Q=28_20cm_fps=1000.avi +samples/Q=28_65cm_fps=1000.avi +samples/Q=87_35cm_fps=1000.avi +samples/Q=87_110cm_fps=1000.avi +samples/sample001_par.txt +samples/sample001.avi +samples/TracTrac/sample002_track_slopes.hdf5 diff --git a/samples/TracTrac/sample002_track.hdf5 b/samples/TracTrac/sample002_track.hdf5 new file mode 100644 index 0000000000000000000000000000000000000000..c731d5680558bb554d2d4421732978d5cc78f288 GIT binary patch literal 19488 zcmeHt30zIv+y80OpfqTr(nOSK5SsQ{=RBFG;#L$IBn_xE5kksb$WX?jfnM2>-|xLH_rCAvec%7z-k;8zp6B}vYptiXpS@QM8#F{guB#kJ zc*)3cBsog0)%Kqj(WN)4t*5=+KJF!|h>6POqB2Xots=(h&Jm7jiu#pA_<9m;9rq>M zO6PHd2Xh3J?fC7bh>a7X(^hN8Y4874{{P{DVS{;2LQ4;d%x!H5>P~$`9sf;5`+99( zz+R&DD$n7zN)+SBa8w0E@EP>D_ppX+V+Huh_1EZ@PtKMSL^s!9H~~E zsovqfLXyA2Y2C0Q9N|`z=a>uG1eh{{x(p|1NT~Nr-!P7nfToR%D;jStIBgqV$Tv*X zFD0mJa>4@Uw#xrEK7n1rOSG-Ol#5z>Ih^+Lt3C3q_JsS}Mg~mvoDm!x(n_hUhrj4! z)sbV>B8mfT=prydA14FClZopsX zQ??x^C^#Ujb&Uv-{tBl}+PCxBseL|MaXdu}?$72^v^)en+*T;z?h@G(;_E%#Gu+?P zJ0d*zC-i8?`QjH5PMfBGWzSc?w6D)E_O#*z`3Cs;3!whY9;r4l-`Jz@2YY;igCd0_ zf2D^AhWmA$wZ$R9JcrB(4*x;^XLzWC8x+L|1}@u0unw164DdNaMJ z`s&RN2=~`>4)yjC{^>bIh5H8w=|%SIYp&PJ($dVlznP`ErG>HHe7zBU^@jOI&GZ&+ z*Dvv+J?>aqn^{;0sVzltO zURcDGkN`nW?XPfJnK{qC$w&PWN08VHnCbnaIKq5XyFPO5`pgUt7iMtVuAkTEOCF~U z$J6^K@;IvB_~&170>XtF{k%S3>=I;e!hJ*kwq2dt{nLiy85S-~A^w;?GT+$sWxhl> z;Q=!RS;Qa1`F7sF=p)Q?c?u@oPneASd7LkPZp9Jg-36=XXK>o{=3n=RP#+i^FLzB{)j0^unmr_O78VK1m63*g^<#aq(6p84-?z7)P%SqNKIItuFjs z`?dPNsP@|!$3bEoY0*0n4#!LT`^vRh&*2nw`#xPS(XgJ$_vyHzVXo=->GVXyO2*%( zGZzh;_x?Uz+pG&{+7+1obl9H|hzWMp-@nBLd-U(z5}dzt zOA5YD_&c|hAO`)Ny94L%-qL~{{pvd9YF?h46$RW%0#4;W z<&c;1s@lRuFItd4*Ed1oG5dB?{$r$$ zKk8{HkftS&*Dg)SBlOL`a&;Hk*QTYRz%xBWoNZbfwMuK}{OXrBY3*F!@)!wx(k@L- zAnz+rPm!!%qFFE$$ZGS-pKQ$^>K1+{^CN`c(tTV1miOEKZ|mRE{N4J0HQx91_!(J0 zL;F3M|77f+>hMqb|5f*YiuXPK?~VPd9-jro-}e0s@3(xy`aj|QSFHb++W&rzYCE8b zwH>p+oXgwJ;$P3{?QID`bQcpiL|IQ)5Mzax9!Eolqp`5H&Jo1IKRvgLj*c?YB2rNy zNCx~5UjK9ckQvx!_Ah@3{U9Nxgns!$`0ZZXlaqv)=HUMu{`m3d`}TMtwCm5~M4Vxp z-Er-og0(gOmplAWmyYh(_(vgqZ|V-!uP?*%(akpsuE)NuZ5=? 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Heyman +# Parameters: {'vid_loop': 0.0, 'ROIxmin': 0, 'ROIymin': 0, 'ROIxmax': 128, 'ROIymax': 128, 'BG': 0.0, 'BGspeed': 0.02, 'noise': 0.0, 'noise_size': 3, 'peak_th_auto': 0.0, 'peak_th': 0.02, 'peak_neigh': 5, 'peak_conv': 2.0, 'peak_conv_size': 2.2, 'peak_subpix': 1.0, 'peak_minima': 0.0, 'motion': 1.0, 'motion_av': 5.0, 'motion_it': 1.0, 'filter': 1.0, 'filter_std': 3.0, 'filter_time': 1.0, 'plot': 1.0, 'plot_image': 1.0, 'plot_data': 1.0, 'plot_data_type': 2.0, 'plot_cmin': 0.0, 'plot_cmax': 1.0, 'plot_alpha': 1.0} +# Frame ID x y Vx Vy Ax Ay Vx(prediction) Vy(prediction) Error(prediction) +1 0 83.086 36.613 -5.24248 -0.43332 -1.1413 -0.4640 -2.6264 0.1578 0.418 +1 1 104.017 39.274 -3.04056 0.13596 -0.1381 -0.6101 -2.6461 0.1191 -0.404 +1 2 49.406 43.971 -2.28439 0.72125 0.8994 0.5342 -2.5848 0.2266 -0.306 +1 3 21.596 46.762 -2.83264 0.32977 0.1761 0.2769 -2.6379 0.3977 -0.710 +1 4 91.381 53.388 -0.49015 1.25876 4.1632 2.2934 -2.9152 -0.0007 0.385 +1 5 35.673 53.941 -2.65484 -0.09910 0.6158 -0.4493 -2.6379 0.3977 -0.304 +1 6 111.676 54.559 -2.81837 -0.30358 1.0317 0.4650 -2.1443 -0.0679 -0.171 +1 7 68.050 55.959 -2.72001 -0.10970 -0.3017 0.3884 -2.3365 0.2034 -0.416 +1 8 19.377 63.360 -2.98524 0.74609 -0.0871 0.2131 -2.5437 0.3549 -0.355 +1 9 87.462 63.915 -1.63880 -0.06254 -0.6832 -0.1109 -2.3240 0.0722 -0.164 +1 10 47.128 64.535 -2.43214 0.29060 0.4141 -0.5696 -2.2384 0.3050 -0.713 +1 11 86.228 72.323 -4.16395 -0.90258 5.6410 3.2876 -2.2842 0.1168 0.274 +1 12 110.886 72.339 -2.73350 -1.36818 -2.5505 -3.7246 -2.2860 -0.3298 0.016 +1 13 67.547 75.193 -2.60706 0.17721 -0.6566 -0.4399 -2.6536 -0.0060 -0.737 +1 14 33.658 81.230 -1.81343 0.50723 -0.1605 0.6369 -2.5245 0.7092 -0.414 +1 15 53.367 81.061 -2.00697 0.10498 -0.2768 0.1403 -1.9613 0.1222 -1.292 +1 16 11.934 91.180 -2.96870 1.48771 0.2808 -0.3768 -2.0038 0.1561 -0.046 +1 17 107.745 90.664 -0.07541 0.98798 1.0721 0.2630 -2.6439 0.0901 0.200 +1 18 88.301 91.879 -2.52100 0.11316 -0.0279 0.6078 -2.3516 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Z@Yjv>?>y%K0Dtcw{+*Y+0N}40`9DS(2@?PS literal 0 HcmV?d00001 diff --git a/samples/sample002_par.txt b/samples/sample002_par.txt new file mode 100644 index 0000000..41007f3 --- /dev/null +++ b/samples/sample002_par.txt @@ -0,0 +1,40 @@ +# Parameter file generated by TracTrac Python v3.0 (22/05/2021) | J. Heyman + +# Video loops +vid_loop 0.0 # Number of loops over frames to train motion model + +# Image Processing +ROIxmin 0 # Region of interest for tracking (xmin) +ROIymin 0 # Region of interest for tracking (ymin) +ROIxmax 128 # Region of interest for tracking (xmax) +ROIymax 128 # Region of interest for tracking (ymax) +BG 0.0 # (0 or 1, default 0) Use background subtraction to remove static regions +BGspeed 0.02 # (0 to 1, default 0.01) adaptation speed of background +noise 0.0 # (0 or 1, default 0) Use median filtering to remove noise +noise_size 3 # (3 or 11, default 3) Size of median kernel + +# Object Detection +peak_th_auto 0.0 # (0 or 1) Automatic object detection threshold +peak_th 0.02 # (-inf to +inf) Manual object detection threshold +peak_neigh 5 # (1 to inf, default 1) Minimum distance between object +peak_conv 2.0 # Object detection kernel: 0 (none), 1 (Dif. of Gaussian), 2 (Log of Gaussian), default 1. +peak_conv_size 2.2 # (0 to +inf) Object typical size (pixels) +peak_subpix 1.0 # Subpixel precision method : 0 (quadratic), 1 (gaussian), default 1 +peak_minima 0.0 # (0 or 1) : Track dark objects (instead of bright), default 0 + +# Motion Model +motion 1.0 # (0 or 1) : Use motion model to predict object displacements, default 1 +motion_av 5.0 # (1 to +inf) : Number of neighboors over which model is averaged, default 5 +motion_it 1.0 # (0 to +inf) : Iterations of motion model +filter 1.0 # (0 or 1) : Enable filtering of outliers +filter_std 3.0 # (-inf to +inf, default 1.5) : Threshold for outliers filtering (in nb of standard deviation of motion model error) +filter_time 1.0 # (0 to +inf, default 1) : Time speed of adaptation of outlier threshold + +# Plotting +plot 1 # (0 or 1) : Plot tracking process +plot_image 1 # Plot Raw (1), Convoluted (2) or Background (3) image +plot_data 1 # Color by velocity magnitude (0), motion model velocity (1), motion model error (2) +plot_data_type 2 # Vectors (1) or scatter (2) plot +plot_cmin 0 # (-inf,+inf) Minimum value of colorscale +plot_cmax 1 # (-inf,+inf) Maximum value of colorscale +plot_alpha 1.0 # (0,1) Transparency