From 5e43a3cea3683de77035fbfdac6409235961c814 Mon Sep 17 00:00:00 2001 From: vikas Date: Thu, 27 Sep 2018 23:28:45 +0530 Subject: [PATCH] added notebook and images for handpose --- .../Untitled-checkpoint.ipynb | 6 - HandPose/front-back.jpg | Bin 0 -> 431892 bytes HandPose/handPose-Notebook.ipynb | 172 ++++++++++++++++++ HandPose/right-frontal.jpg | Bin 0 -> 223613 bytes 4 files changed, 172 insertions(+), 6 deletions(-) delete mode 100644 HandPose/.ipynb_checkpoints/Untitled-checkpoint.ipynb create mode 100644 HandPose/front-back.jpg create mode 100644 HandPose/handPose-Notebook.ipynb create mode 100644 HandPose/right-frontal.jpg diff --git a/HandPose/.ipynb_checkpoints/Untitled-checkpoint.ipynb b/HandPose/.ipynb_checkpoints/Untitled-checkpoint.ipynb deleted file mode 100644 index 2fd64429b..000000000 --- a/HandPose/.ipynb_checkpoints/Untitled-checkpoint.ipynb +++ /dev/null @@ -1,6 +0,0 @@ -{ - "cells": [], - "metadata": {}, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/HandPose/front-back.jpg b/HandPose/front-back.jpg new file mode 100644 index 0000000000000000000000000000000000000000..1bfd9f4c581d716e610601a1f3d9ab2979be6404 GIT binary patch literal 431892 zcmeFa30MU7~GmRFF_Xf`nU^D2oshLT2**&jir6-0yuq&-=XJb$#F0Tvsw@ z&N*|I|M{=Ka~KS@hDVdbgEA90VA$ft?_gsv3>$}8nwVl^A@wPItsp%Lu6+1Tg7i4J zeh%N4Ow2G7xT5cCCZp(UA*81drcXlpt-(5`kamSk^@v4yavRxViW9^ZDM7x*qd0Xc7b8; zc54!u@vJRu%+1Bs&BtY~kINi87cU<-cOQ3Gc+d{}dWUhG8(=_(2h&VQ&)D^RE)Ij~ zcz6QaXMvf+#l_9d)oh<}%$uRU`Cxhvq)qmZGtM2-ru&WUpMb)a}^8^dv}+8?1i=Dw!NH);AcSuOmjfor3|I4W{jYe%NsfdORp; zGMJ{<>09Hokd2uRrcu7x3u*IjjpP3fjdL*nAk-QC!n0#uNRJ&%qw$Y>A>R$!L3FEu zg1O(CViO?UhbqAb^{IpJl)?1yTDjS|!J>KlxVSxEzZdetKg+`A&9}ljk8P)~PvLob zjo^xSavwB|?ptBv=pKDgUkeAX_Xe+MTqu9&>gnR>=IWA?Vz+QE$^S_MhRfLGF<26I#LQ#{W;)r#Y_f^rA<%1_;hG5! zqa0;Ie_+7q16*ZlK5DeZn6cx=oBX-Z1T!@oDx8Fwn46fHnwyTY7(Hf`*@QVzIN8kn zjh9?U1uT!5G9zuf+vutJN6*inY5($yE3tFtrti2LXz}L$u&zhlacp<%W8d$bwcxP$q7CLm|}d3pGL>i+A=D-mDv4wUA2m*}hCd}DILN3K6_IM$x9Q5ie7{MsvD znl9n>?fUWIDz#hty4j~M+eq`qyn9&po2`CF&Eex!o6?@W*)FeEdG`9W@0uHt63wnR zV7fymcTaJ9)nV5J*Dq(?y8mFwx!{^z?NgU0r1ZKazwG|gmbqn5PW`5rGkFhx$?{tC z`j;(v%Szr@?YMXk=cPT@?e{N!d$IkQjp}i!A6kjl_-yvv%|FqUZ};Jf8S$IOzxn+q zo0qzqk1tLLs<+rT$tQH>@zYJ;d~LER>0#J|4jIdbVrSPKnyJ3>`@s+Pz5U)Nc`mty<@@L(}dq+xXSXrN6Pi*<0mv z(s|_#?^nJ(c>eLl*Rql>Th>uYUpGH`gLD70pXQ~lIoVzp3#bS4@6z+h;b{_D-LdUs2B7o489E>+D2J(VY1$ zIkjuupG5vx9D3^agZ>>ybCW%6>r~0V@kgJTIk0LDRlmwd^$OdqpefR!Y5F_fg>RYu zex1RZeY|q-Z$Ae0g%LB_-z5|m2db%}vNcsdd}y&Y-L}zceY+~tfSo8`Zpn)pZT6ti z%=Juh1M}?fs|3AY7OB%Zjy{YmvD+TWvgdVM|3K-s`5)mLuu+Q`o32s28NFreDvyog zeev1hC*K#%?ay)l<&M>xsjn}6crw;3>L>0Z%MUvb-wL*VrgMC}w<~+~lCYD$r`Go7gJ%SW?yL+BR=#-38_usY@L z_LeG;gYJfBYl^t!!8+TP#rV(f2DYn@6{%mlJi#%^DQVtb4{?qG z^E>@|WbqHL-|yHR)2G?>PZ!l>^#=2S{eEpf-2YJR6E$)Ag^IHaD?a)qTsELQKn51w zY4di!nf5BvY36SgE6zWWj4nvNUu0z)x9H82vH=}&M&voAo!YP}q)J|TU$k%Cs7$r2 z@4+trGhGXWb&tCB4Il3~R!*GpCKq;;=jR?sQiQqYHZU44>mJli$8T||J?-Q6&$@oD zImi5T=Pkoswfp;LpZ(y~CEV9!i+@O3ivBJ<9As3TgS4a zxu0Z5K3?$6dIw2`OuxTEce*4$WJ%Im_lainL!I9GyyoXt_ImE+hbhiofBjO%^3T3Go1AXZCOlo~WyxK8QIx*MGRdrXJ@>@%Sz=#}rK;?mC6VFf zJI{V}aM5>_KdW}eJ-B^ibd$Nj z!539?qk}Jor|cX1w1Zhq#*{F<5)YrZcr@wQyYeXxeH=e{b#|iodY{(( zPf~y8)aB%c6MByF>FPMU@`0zvOQv-ILQ+Z}Zi`qsnniQ0hFd^?*NKI&eX~}12 zS*NG^SMI5MGD%)e{3zcxMg+V3I1l7cwHJ@r)OzOUZ6xj5AKN?7vw zMzhW|!Nh;;{C=U*A?oIu?{D|*#yq5Zy>(0HpWbtYefCZ1uWg#Q+?nIfyx(3vaN(Cr zao<}m46NK4I;Kf-_v!lH2ZX%!)SlC)fB12+-$47`cXvyR(%Nf7GfE|!im2jqYc^-S zyYKc--#;K%<4K<$51ByR`><`3>~#ICgtE)*?Asl-e!>#GY+;RJS z>B*|AeEa0!9Z|0O

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"# Empty list to store the detected keypoints\n", + "points = []\n", + "\n", + "for i in range(nPoints):\n", + " # confidence map of corresponding body's part.\n", + " probMap = output[0, i, :, :]\n", + " probMap = cv2.resize(probMap, (frameWidth, frameHeight))\n", + "\n", + " # Find global maxima of the probMap.\n", + " minVal, prob, minLoc, point = cv2.minMaxLoc(probMap)\n", + "\n", + " if prob > threshold :\n", + " cv2.circle(frameCopy, (int(point[0]), int(point[1])), 3, (0, 255, 255), thickness=-1, lineType=cv2.FILLED)\n", + " cv2.putText(frameCopy, \"{}\".format(i), (int(point[0]), int(point[1])), cv2.FONT_HERSHEY_SIMPLEX, .8, (0, 0, 255), 2, lineType=cv2.LINE_AA)\n", + "\n", + " # Add the point to the list if the probability is greater than the threshold\n", + " points.append((int(point[0]), int(point[1])))\n", + " else :\n", + " points.append(None)\n", + "\n", + "# Draw Skeleton\n", + "for pair in POSE_PAIRS:\n", + " partA = pair[0]\n", + " partB = pair[1]\n", + "\n", + " if points[partA] and points[partB]:\n", + " cv2.line(frame, points[partA], points[partB], (0, 255, 255), 2)\n", + " cv2.circle(frame, points[partA], 8, (0, 0, 255), thickness=-1, lineType=cv2.FILLED)\n", + " cv2.circle(frame, points[partB], 8, (0, 0, 255), thickness=-1, lineType=cv2.FILLED)\n", + "\n", + "\n", + "plt.figure(figsize=[10,10])\n", + "plt.imshow(cv2.cvtColor(frameCopy, cv2.COLOR_BGR2RGB))\n", + "plt.figure(figsize=[10,10])\n", + "plt.imshow(cv2.cvtColor(frame, cv2.COLOR_BGR2RGB))\n", + "\n", + "\n", + "cv2.imwrite('Output-Keypoints.jpg', frameCopy)\n", + "# cv2.imwrite('Output-Skeleton.jpg', frame)\n", + "\n", + "print(\"Total time taken : {:.3f}\".format(time.time() - t))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + 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