From dec62cb843cf19ed2fc27fdd26f625f0f8b9af63 Mon Sep 17 00:00:00 2001 From: Adrimapo Date: Mon, 3 Jun 2024 23:53:08 +0200 Subject: [PATCH] Semana 26 --- docs/_posts/2024-06-03-Semana-26.md | 34 +++++++++ docs/assets/images/post26/circuit1.png | Bin 0 -> 615477 bytes docs/assets/images/post26/circuit2.png | Bin 0 -> 89254 bytes docs/assets/images/post26/doors.png | Bin 0 -> 289722 bytes docs/assets/images/post26/spiral.png | Bin 0 -> 630317 bytes drone_sim_driver/src/dataset/remoteControl.py | 6 +- .../src/features/rosbag2generalDataset.py | 8 +-- drone_sim_driver/src/generateGateWorld.py | 66 ++++++++++++------ 8 files changed, 84 insertions(+), 30 deletions(-) create mode 100644 docs/_posts/2024-06-03-Semana-26.md create mode 100644 docs/assets/images/post26/circuit1.png create mode 100644 docs/assets/images/post26/circuit2.png create mode 100644 docs/assets/images/post26/doors.png create mode 100644 docs/assets/images/post26/spiral.png diff --git a/docs/_posts/2024-06-03-Semana-26.md b/docs/_posts/2024-06-03-Semana-26.md new file mode 100644 index 0000000..f4d23ce --- /dev/null +++ b/docs/_posts/2024-06-03-Semana-26.md @@ -0,0 +1,34 @@ +--- +title: "Semana 26 - Aumentado de dataset" +categories: + - Registro Semanal +tags: + - ROS2 + - Aprendizaje Automático +--- + +Esta semana solo se basó en un aumentado bastante significativo del dataset generando varios mapas: + + + +
+ +
Circuito 1
+
+ +
+ +
Circuito 2
+
+ +
+ +
Circuito 2
+
+ +
+ +
Spiral 2
+
+ +El resultado en crudo del dataset manual fue de 70,000 muestras. Sumando las 60,000 ya obtenidas anteriormente más las 40,000 del dataset automático, obtenemos un total de 170,000 muestras en crudo. \ No newline at end of file diff --git a/docs/assets/images/post26/circuit1.png b/docs/assets/images/post26/circuit1.png new file mode 100644 index 0000000000000000000000000000000000000000..9ed663e64b0182ca3a3e7fae85dba9eff6a2e8ac GIT binary patch literal 615477 zcmY&ugB!fSo}hfg5B?T3f&G@i;vo_cO}o<3IZAQ<+pZY~fWsLeYF#1-n`=6QtO zCG)W8#XpM_-$ATA-@3Un>%Vn@VA#63F!KvCJ9@b?3-SvJGYbey3W`he3z*w6Twq`@ zW4u<9*Z0lY?=Ts&Gx451r?VM7O&wA$39W+<(vvHHEDXZ;k^e|%@toLn%{@#>DJ8+` z`l&e6^JEIHp19iN?5{nfI?W$Q-nM#wf8&3IvYcJ6k4t3re&rM|@a{Jgv|~C>>-|#4 z;$lY>&Z3#Y(Mff$X_auusq7rz-8vuT`48yWtCcXn``+2BqinvDp6H|BrwJB%p?9*_ zTruI{>W{Sh`8mVhBffYD7V?j<5C%R^m8VEuBad7wW{)t6lu9J-v_auyM$D)pWT-vl1{m_ebrv+g#y8H&0@dm?GKPPm!H_w7kZ`~;7z zdj#Sr`UF@2pMw}0@er28O9M(y4T3}Cw^KgE>~)!m*lJ|%LhQxdYr>AdjOU66HC1YV zuc_eavqdIlQm;lou@~67gC>^RGgrCKdR3MNxY|88cH-xc5dcVw=l4;^vt<}CF~zRs zaCvwh{pFTSeFC<%*r@If6)2eeJPyqcZQ*UCvkj&BO2AnAf+q4+jO^(^NMhIJQ`r-q z;P3xL?qA_M|8bI=!xyxpff0BJ&A*Nh>{?pg%L_QX^d7r*!)flk+Y(_4eBON8BO8#w z9mZNcNK{EM&nX&Q}vDc8jnRj=ySK zqajK*O077>z(|yymHGugo23|gw=`Xvgwtd9jPyfQYG3Qk&?ocf({XFB^_j?`7Nb0s zcc^fiCI`9uF=p%kKB7cRQpF@60!EvhjLCVg)ote{(wIPXxNIOLg z!K%;IcrX=+TfwMclExPdHk#tv@|Mu0 zX!Ay_)ZvWiq$+oxWLB)D*?H2vo!DX{`%|c8>Z3!&I&_?ov0l=Z!^8V{GW(L}VKyK@ z9AM8%P;$X$3_}%QCY(SJA7`AF z5#WY=^GgcXDVDuQL>iY%owHZ~*I`tTnIkEASViE6#MrtxPTa_j4Ts>9L`?YzG98Y; z7W78S0FLo@rO#i_RI;Qbb0~xa!)+Ny-R*M$pQ6a^f$$#5r{}Mg)@`_2aY`Mi?S)h6 zuslxO^SCk&FFIeA>qA>8ytieVtYr$m(DWKTp{f&3Z-u|XY&)gQhvQLMbe-^Xe)X_211g-vX|4*jiZOo9C~{rlSQrEYP!;I<5`=qtkXf-Gv#y-C-1Jyel7Hue7T^2|UQ}?2p!~ zFfA}bkD`aKaGUiNW!g_#N(wmLq*xSn`eObh$GKxCdbWQh{cn28~Z7aqw>Qx!G=IipF*@lD2Gy+x$MZ|VPm-=`)v(L4_ zdQj27^X|kOv7`NtrB-Wm{F6n7o%-)uN{C`dZBiD9{%~*U{^Trc+Wed3|H8E89m#i( zvvMn9E-d~(V0fTsS)1isq#&_VeY!xre4cUF4D&?PDobX#PnlOf?(0S#ipG7|CYwlB zb)m-#$VZdk;-<4-t=Q}0V3yy(R?Vf|ZmL^guGuIACN5)dOe6yS0tFi<3v z<~y`0X)eK5@ka53<0lKjhYjZ*hI|jp%{t->yNtBd%po{I5f`HMDZx1ClrOjm?A%vB zh@1zFGZ+-KBfcP0Ybi?WZiKM&BvpNk!*IAPeOU^PBEF6eRc?MAL5ZrvZD8m|Nv&>< z7{_i#O-%139oQh3oPFM(8Sek#W zm6U$DZo>#&Nb5=Espo4`I4X_*Q*koHu8yAJT11?UA?jzM9Y8IC)uz5gJ>k z{0)Eiip1?{gLOtdzKY}tY^HzZcG{vll&NiP_TOL(I%e-GbM@<4@XbKTjm70@g6v&} z?B&b*pXKj}{&mtHA?6eJ(nC%^k@sJ_-Fb+OJtmLs1v8Wp1Mn%Sek8k8Jk}c^ghZDl zD1sEYKeB1$BC$qN1DE{C=L?I&s0d!i zZ7H5fU?b;CdpL_u5(II5`NLT9S>(n+V)F;>FoB5JbzkxAmk3Q!8;sSA^*|(rZBVeU zS3n7Oo-0SdT%mK#Z}xRzXYMGe?>CNZbgu6eXI6cuyQ801GnYI9e(<%|XFy=vWg-w) z;y;+%4I~a~q-=I_I5T8Q5}{$N(A?grU>*H0yL*;GYRSbW_+l4fti}RqZjkH}qFQ-htzv#Nd;$`rTEOtrRtE{=*TXADrhL8zx&a?mzOnRKS8}tReIx0Fnph zxeY9}tn3xQy`3R|%o*^vl86Y=2~*CsBj!et88&Jib276heE0p(77lU(TBr z@?>*=Vn&je=~g8R9L2tO8n5_3{r6W~79|8S_r?EzVHg?xebo_s^u12v3!w9%S|scT z9;+OD3^|$&2~)qgQnlz&_3(BwF$bF>)*yBfv8{ia(J|Y4VAZw?UWK)357+TXtgR;X zl0;L;J4|wH5O2+yJe4)Iosrk7=qiJ)TX&TWSxmO07qR7NRft9??+M#qb3aS@oS6c` zc!8-pLuCj%)bVxCrXE27I?BV`P?SQ^>eociPYN%{(=}iokK_sG&WJ#39MG{^KaRy< zsD+>*Wy2jELj;~Qa_m3JRit!B8IN?T`l)%7Kk1=<6KBh>R;vLw$Xoict;8MHw)En4 z(v19X*pjQmg$-u}M_F}wp@?PKs+Tk^Z&vszowT(^9U(lb;HQ;R}hrNUHLX~XjM=7Xr?ARV(~X~MN(({9tT5q7GfVK7(Vh~B^8fBdd_76&*$;;I?~!t7W+dh zBTEl;N(B;b8*;y^^pvb+lDlv4-!0cR{@IJN_+Pg6fbsJ)FP8*6A5Mv4?QdK7KFzle zxPI#a{>k{BWIdFJ1ckyAnt5+N7ipmtkzjp(L%E`z{|{BhXbb{YS22$gw6 zDJ+34qxFrSAc$xy&ox)lG8`qRe(}DUOvZ+mo(gTZ=b$n0_?toc)c9}M`p-m*8Zih)Rf;&-w%ImqrB)2 z|AaHXUG~F0&7`F9em8$o0 zXa!72M-@MqQTF~>$f?OGLC1fvV$1fTw8hnA`o(%C%3}Se3bZ7nQN8PhxcoHDyDbL1)Mzx9gwuqw_O*P9MI%@&}4a zOgS2u<~Q9{If=eVg{KEF{>eAC7mu^bu@`j5gz3@`Fc*E8y3Oq!B$C(OJL{W12%e_V zdGX6;-USB85bP%L%|jDkFD-D!g#nO6AkOH$>_yIP7SaY2yc2S1bYMBeeK5Ys1dmJ7 z-U;)CuhV91FUCtl{4CK7EaXed3L+tti!P0UTRvc%_OJScoxYu{J>s_jGf4QS02q%) zio`iTVpPKLu}++Pk&5cLzk$%_(G{`BWuK?hdISoDPO3{B{tiKCVi(S}zNOJjpPQX? zU7dSZl`+YAwqW_c8IIA+UCf9NK(MABP&rn|{xMGqH$;!5u_@snTF+^-kQ$3 zR{v0+T$_7uY*t|DZyq!=O>lk5bm!!=`mq21E$7%f|BD*_9$-3|P-O~o6jg18$3I9s z(XKTGmk*r(o7mA4+@r2b0s|H)YYkN#tJt@AO9Y1VVY^EQ-WNKnH`IKXr_=+A$%UUs zKkdGdlrFKP1r8H6agF

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zgZmVPtUmY8Be5v;fZ~Ni+P)Esucx;c#HbY^VsRVND)+bVCJwQ 0.5 and (time.time() - self.lastCommanded) > self.joystickPeriod and not self.constZ: # Sets the correct sign - self.posZ += 0.1 * abs(msg.axis_right_y) / msg.axis_right_y + self.posZ += 0.3 * abs(msg.axis_right_y) / msg.axis_right_y # Security limits if self.posZ > self.max_z: @@ -473,7 +473,7 @@ def remote_control(self): # Publish the info for training vels.x = float(linearVel) - vels.y = float(linearVelRaw) + vels.y = float(self.posZ) vels.z = float(angularVel) self.velPublisher_.publish(vels) diff --git a/drone_sim_driver/src/features/rosbag2generalDataset.py b/drone_sim_driver/src/features/rosbag2generalDataset.py index a6e8868..656479d 100755 --- a/drone_sim_driver/src/features/rosbag2generalDataset.py +++ b/drone_sim_driver/src/features/rosbag2generalDataset.py @@ -125,10 +125,10 @@ def main(): # Instantiate rosbagDataset with the provided path dataset = rosbagDataset(args.rosbags_path) - img_topic = "/drone0/sensor_measurements/frontal_camera/image_raw" - vel_topic = "/drone0/commanded_vels" - # img_topic = "/cf0/sensor_measurements/hd_camera/image_raw" - # vel_topic = "commanded_vels" + # img_topic = "/drone0/sensor_measurements/frontal_camera/image_raw" + # vel_topic = "/drone0/commanded_vels" + img_topic = "/cf0/sensor_measurements/hd_camera/image_raw" + vel_topic = "commanded_vels" dataset.transform_data(img_topic, vel_topic) diff --git a/drone_sim_driver/src/generateGateWorld.py b/drone_sim_driver/src/generateGateWorld.py index fa693bc..b1a2d80 100644 --- a/drone_sim_driver/src/generateGateWorld.py +++ b/drone_sim_driver/src/generateGateWorld.py @@ -1,6 +1,8 @@ import math +import numpy as np +import random -EXTRA_ROTATION = math.pi +EXTRA_ROTATION = 0#math.pi def add_circle(center_x, center_y, radius, num_gates, rad_ang): positions = [] @@ -41,30 +43,48 @@ def add_line(center_x, center_y, length, num_gates, orientation): positions.append((x, y, 0, 0, 0, orientation + EXTRA_ROTATION)) return positions - - - -# Random poses -poses = [ - (5, 0, 0, 0, 0, 0), - (12, 30, 0, 0, 0, 0), - (9, 12, 0, 0, 0, 0), - (32, 13, 0, 0, 0, 0), - (25, -9, 0, 0, 0, 2), - (27, -25, 0, 0, 0, 1.8), - (7, -26, 0, 0, 0, 1), -] -# Center of the circle -radius = 10 -num_gates = 20 +def ellipse(): + # Random poses + num_gates = 50 + theta = np.linspace(0, 2 * np.pi, num_gates, endpoint=False) # Angle for each gate + + # Define the radius and center for the oval path + a = 50 # Semi-major axis (horizontal radius) + b = 30 # Semi-minor axis (vertical radius) + center_x = 0 + center_y = 0 + + xposes = center_x + a * np.cos(theta) + yposes = center_y + b * np.sin(theta) + + # Calculate the orientation of each point + orientations = [] + for i in range(num_gates): + next_i = (i + 1) % num_gates # Next index, wrapping around for the last point + dx = xposes[next_i] - xposes[i] + dy = yposes[next_i] - yposes[i] + orientation = np.arctan2(dy, dx) + orientations.append(orientation) + + poses = [(xposes[i], yposes[i], 0, 0, 0, orientations[i]) for i in range(num_gates)] + + return poses + + + +n_gates = 50 + +poses = [(3, 0, 0, 0, 0, math.pi)] + +for i in range(n_gates): + x = random.randint(8, 20) + poses[-1][0] + y = random.randint(-10, 10) + poses[-1][1] + z = random.randint(-1, 4) + orient = np.arctan2(poses[-1][1] - y, poses[-1][0] - x) -# Adds the circle -poses.extend(add_circle(-24, 0.17, radius, num_gates, 2* math.pi)) -poses.extend(add_circle(-24, -40.17, radius*1.5, num_gates/3, math.pi)) + poses.append((x, y, z, 0, 0, orient)) -# Adds a line -poses.extend(add_line(-45, 20,70, 25, -math.pi/2)) xml_template = ''' @@ -84,7 +104,7 @@ def add_line(center_x, center_y, length, num_gates, orientation): - model://ground_plane + model://grass_plane false

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