From 2ec77af4d265a17f0580db73659564fe7327bcfb Mon Sep 17 00:00:00 2001 From: Aditya Oke Date: Mon, 6 Sep 2021 23:29:14 +0530 Subject: [PATCH] Add basic info of mobilenetv3 --- images/mobilenet_v3_1.png | Bin 0 -> 24807 bytes pytorch_vision_mobilenet_v2.md | 2 +- pytorch_vision_mobilenet_v3.md | 98 +++++++++++++++++++++++++++++++++ 3 files changed, 99 insertions(+), 1 deletion(-) create mode 100644 images/mobilenet_v3_1.png create mode 100644 pytorch_vision_mobilenet_v3.md diff --git a/images/mobilenet_v3_1.png b/images/mobilenet_v3_1.png new file mode 100644 index 0000000000000000000000000000000000000000..2f25c53789028b294c69620b1c7e5ff5eb64d859 GIT binary patch literal 24807 zcmb??Wm{Wav@KTL-Cc`26e~_3xR>JY?plg#@!%fZ-5rWUDNx+q-Qnat_c{OI@*yNU zD{HT3?x|zU8L6Tqi-t^$3m1++3l2<4>c2*^gbsrDWpHoVN!fx%VT+nIK;}Z^sC3yF~rJg>kJ}kgsqUra(0R zpO(c~`}p`UGBcli2oj>!d*4{_D3aWZObg#k9&%^x`=TS6WX||UwwinHHoZ(9w zmzIm+$s79ph|11e}Md zodt)8Zod1THC5`hpa)H6^1BWbS>E<|tk}2IxgDuFv~IyKFE2w~dI`Tij)++t{VDEz z+>VCg;o-qV4uvQ6yxE_8yYRmrWq^LXol|bxi4$tw3M0{JcVpUeA`CJgPrY-jsH`k% zYDx(UgFo;22sl1Dd5J%A65v2BGz6b4RPBH>9gfA~x3^7FS#%{#O?Q4BJf9eTWE3l; zxr~r`qWYYTGUS>;?#rUz-q^#htEIKjbEd-713AUp0YqAnGT)V)hlMS3yy+pk6;@Wp z1P2GdpFzY;OHW^KGymD4{fIs%@ZB4Vn1rP5q`E_=$p(*EtMcm{59C3rXu9`0U$pL^ zYgK(4no|~2^!66)Gr~+8ABrL3_If@lVPazgcXW`H%mI{@F_gvLc$l@TcjE(JX_l6j zaB*>+Ud~#$9adYRN4oYiY`u<()1bVL%Ss?B4fwF_dB3X>e7l`%d%Ir=7hcSCXphva z(AsioJ3K!>-ylbY*KKhitI(=4*&9pods*3lFK{tvbD@J=+5V%zPUhr*iD!}}!0_KQ z5~N~eW80q+x;VWE{mNsu;JL%j#&&)osF*8C7CrziHMIZm5-w~ZDJdCPQ<$F*t-lBj zk62q+2wO5Y+U|bx-}B&K_u4UDX*V0iUZ~QOm6U|__V$L2^L$wIY;Zr(f;^gcs*RNv zM{#jzgPN8=UrNlp)>guZ`>E@j8)!Ls`D3v~QHV}4v9rfVGfg4IlAgd1M!M2|cb(*= zrK3Y@ofRTQH}E;4i;9k3>h$K;)zyX4(9qa)X>$@FO-@To0)Yf}IW4EMM#oZ^5!O~Q z=y-WkbQ>({T=vFjY$^t}jP@teS0QTm-T!W0@_fgoEo`+LVqK8!tgWmlsi=N@rGyHa zw}EIB>)VBU#~M`Y+WEVy$YbY!zTt9*;sexi-hNVhKmaiysrDO)sAAk{wg-vOH8lZ1 zU{P)DuTLoWP@4}g=|Y}tZEbCK|7w4rk?_@;j-UrzC*>M(rT^;*6oVM_vPW@0HXM`+}ueD>|MC}iwWlG$;r5=14ctpcy_C;3ArDy z2augz#+XWObAOJSnOyIVKE4H1cR$;Jm9obmn+?4_-Ne5IYGet>67_MQ(k#UOpUb2d z-N*gUk2(*NGR%YK*aM%K*Pj+Upt3xtbc2FMcJgoMxOntU&$D!Cg-E@+M9V84k`fd9 zQP?|!C=u)IA2~PM4nF#N*8OwGqPV1nBrLum&o?zqq>F@;t%w<)cdGyEXo1m_Kt|Hy zR%ES$T+cj%Twm{0FRf&xp<_is%8omCu$asmojO}d=k_Gu>yZCF#w>+~;N<%X%;ri@ z%oa-L4-_pf7Gfe5!}9bbpqe+5P^D6gb?Ue zu)n>@G0SNO2yw9c^Ze_>2Nc3}PhL0HqaN$uZiZ`3Q%n;eK4{(NgmrApv(TD&Qc)4^ zCo~H_vv=1hw^B)xgCzl!Rz++^hD|D~-tf~wF2y()V;q3B;A{8fV&L`e4F+aT-gnLZ zIK1#P=S1Q|nMXUTd|%{49oUSHCiq$#-ejviw>I~4-ozN9q_hkSBaf(YSKR-HkT_Z1dZKL|mJ@x$!DQ*q(7gqcH+QHJNis?b72^l5@rD zy{+fovM`&`&hNtiJn&NWi$0dxaPE(48Iy(7sb{riTMtTkY_Yddd%p|cjc8pxnSqsy z%7Y)_X*~KW_8XFWMT)lhA-bHmbr)_=EVlF2}ubFYHh;@ zRvyj5viz{1jp+H*uLgZyP+z`$`=_U?G&)7ry5?ZVN7AwpAhhvz?rG`=FL^_;;`)at zw#MKAjnDs)JesXD*|yu0J=4RNQ7($Z{5x{l4);@DQ6$(w=!Oj>-rSveS7Dgfu`;?H z&1O9HX=7{Dw|g`&sv}M05;5@oW*}n0t^Wr{l&*NW~0&s z1FU1vne}6~JLCZf>@mmxX?>cm>lQBDu5x#5IL#lqEW_t2$(r76ljgKl&>#I~qp(5E z=}(GM^NN@4PRD6GZsqlMH!pm7>C&&pwKT^@$IUB7f2Kl1bu7QA_HiUsw5zmLdGh|% zc5fKeXwGxG(h@(J*;0FbR02>`FdZ#6+#S~rh)r(16@Pi|Bwy&h;;O0fNvN)711n_? z)5L$I_+GpV@@2BZSBY`G@9h4apC3wM*1C)*F!;)E$$3!z;*@FE*+BCR#$v1$7atfM z#WZVSl2aJPZ|MIc9tJwq?@B(oU!kg}i$L_W zpp+6BzQ9CWTar?)R2+lemzWS99;U!f;+GWAh3h?sKJn&&^P@kXAwSOC!2iyj+{;Wb zgDJbREG;1^ks!&VGy(Ij*tT?~DJMCrEX(`sf8(;dMvQ_ciwBAul*ZdXDMk;9U{PNz7*e&TMl*bG&H3kU2K1UzfRUL))fU!NqPC_ z0H^Wz(sk`2PX|amd>Yz#tSv$^y!={fZj$p;y~J|%?|I+)8?oHNBf>n(iljh4WGnP`NKfRFQVxSze z;6Rlc4au*NtCxWI1G9Q6${_JuUfvkWbQMVhTs^LKFf}4|qDkC6SSnracl>BZ2tJYt zB1EtYK@3&%f#w;8E@-xq7?Ee4Co#CtNslsAgX zT)4};xdlGL_BgFaERBc8dg@-U7-}si%~sR-O`A&~E1~0)+7ss+H63aES4r{xPi8@l zraZUv34V};k1O2MDjFJtA8)TpE;q=B$95#N^tp=zuFC9|lgEpQa4-|u{JBE}27}%N z0YsT1#;x&0u348Z<&~AYHGyx;71}*WkvQqzd$4v#P+x2iPWjs?)5oW>e=|=D_b>Bn zC#0qhr=YTVJUcj1FjhZhUf|z6BfPvshvqOgHZ@(XY^;qO^BYJugM%rJ4`p~r zOTsXvKJgyP)R+9AyuG)XAheRJM`Fc3M7s)wrXr5x)__|IAx0_yos}9>?1%7}CE-af zV$$K16H95a5MogTix8>SQ8H`6LBv>*avN#M?LRtg`kxpLbH0yWGvv@x`SOKY`V%y; z@|nhqY9rhgJN_}~NQ!ZG)xE94p+U7FgpU_~76|lq`BWxt$zgtV#%SRST;4u&$geiz z)sNjX!)4vpw#8IwoC<+;`X-~C$uOm)c0=k-#omDALi0q-7Nkiuq zc7^s-dBvbzR5M^BxjqvOt-k(T`Pa}9a>Mq_6=g!~beiM9;O_2TCr|~+Y1(ec`-Lt# z2Sgs;(W8eZ@U-;@=EV&9?#G&`9=d$4aOL@hCtGR^q#YdC47;{^tpAqOcQ8P8pF_XA z?{^Hb1Qz3luf;6ciBfUh+1S`To?V>pbUpBy$RSDfQ<+sn&}PoM4NIoR?U)F#j{7OKtoJ%%2C?o|WJ7X2T`knjlb_)S2%YVvy)o=XlpB<8& z_eVC>5F92_csT1BFTTLm?(Mqo#nmNEpvA?yf0pxmikXt$#Ii_suMuaq2z&e=&-V#3 zF~4|7CF%0^5Fl>Pk&A5!MMzrz^3zy`1ID5DxLBWDdw7i`6Y|V6 zrrtanPR$@ZV>8i|4TN=wr(E;5u@+^? zL>6< zBzyXG{6Z$##)J9nU&P@4Bk}G~LVY(+IyD`TQ8MdwIlG#tb5q!%K8>(hy z)%<(*J+`MLC9BMm`(RrS;{!|x$-BKEC5>*=F`kW$ZJXbbw%1mQ`#&7?qDBf9@cFqC zdG`f*b3h}Jw5rba5WDNz9e+YX`p@YTB2^$%6d;m8iWE&t_zu^x${%H@$Z3Awuvjmv zw>gSW{sEm7rdbbnUwM3YhyQ$MHqgQ1{#0=FRV*;CoFU!5N>Tx-z{Kau(AVlbVydCk z)_rbaL6jbcy4ikZ_&;ezm3JMsf1TMG%*YBit0%*ZAeO*1zs*CKK#C{`rbNZr9_all zmB>o?OhqNi8VuE?>z8oYs%{v;zB`cmEyT_P%c&)i|H0)?l+ynSkBp2A60A)->wM7C z)$!{tdjcpLn%(#`)p~BwU~01GQ2jo_9_ECVULogc9NL`NgzxA zrm1URe=!ck@aASSdoN~?*;X_+r}JF*Ch)!2a5?Uudpbd>G381}IGtP7QSi0JVJbU% zz5Z}8USZIyTe9=pv)$NTu37uXUPpt4^EHu%E(i0<+v{mB?P+N`@JBhygvi6U>aKI! zM$eZety!70lipxgkLZ5EhD7g!p%?F6M?KxvOP-tnV^&9d*ZQ{R%&j6ggu%uh=R=b$ z)6fU8$DobX8-`N-EwE>{ysii*Xd`6=RSK}B@ma@#{TfP`{cCC z=ZczITWu!v@Sh~z{@mK%-(sOfD&%PWq)e{8MM7kBYF$}4EcR{>P2;a>?mnownUm(& z+lbPHBc)MB(6E!%3TllyfBV*m4O8T>8b8M@3Exf#5i)kxm;HEdPOv<~U;y`@(h@gt zjYvrhw!2?AO<#OS>7}9YlFFbVsMw7X`tabWCQlq@ERcku%QAQ7uvIXmt^~Ca@ zdQX%lA#ECYF6o;d;6g~~e_5waPk;!de#GcA`lZ0GH%9h=E{5OixLAA--&T!Sto=<% z)S6@G7|Cg>Q`ih}NTBXhpYq+7fuiS4oBYie&k{d(lJ%ieBA#DLC*`qrw;>v-*CN3b zqQ2M6HP>0$a#e}2JHYw@>h$1@m#Ei zW>O|JG&H;A#>h17uHcn3@MEQG+wFD5=oBkqqoV+6LB5ArPuES!Uk&Y~G{au9o+pu^ z0|NoZRRmc!unNcTZV_`ci-Y{~1TTrfgj$m!iBI9eRq57@>BUEWt$cs%3c3dTXf_a$+RGRvwE}Yxxocf z4x~N&q$Ue2y#0z?po!>0^Yf`(Y? zditdE%Q6D10^%O@^q#iU*bWj&K7J$6DK@6?a59Odb6f0Po-^F>c*cDfzCO>K-W^>W zw;~ib!fR6cA|w3&v=}j(*NSqJr>cL1!F82+Mqk2sa7~UtlE}-y+AEP%kw?Pp zb3{loV|4r%5FR+kS#UnrQpT(wEh3oNX84E|X}yE~0p{%0J6YfVuaJ%fnSKY4=2h>q z{#PV2b^TIj|M=8gRJY-Jal$0hbZw1|jjii5>Aq`r@GF}?F1SBZF7a;V06 z?!?dh`O_bQg!431b8a>}l!nG!-2Kqi^-R~@c}qgmOoxlCrghCJ_!PRkD;@a3RbQVj z>i;||xMcbjxQmMl?|oXg_j=|SNXJOaeKOutyq43SnR|=+?;=LbH>?ZpV%VncJ-0OBao^pu` zFE%=cYo{d+?y0(n4Io-vK<*e9S;ydqzs@gXD=kvuCoaWYdf+QRGU z&k$%mU((s#_=`EXX0oTzR zT*ljG&4IU~*6B;IgMa7NhE{A1_Vx%qlpy(`IvBVY82D^Uoxow4CE{W-Q99Vj{TaOa zT9=va$vC2^6dN16>H;bJ%FB139oK%ddcMbcw(w#wa{e7zOam5z-N+tRUvQ0_u8OrO z_w|A1*-2sL_wR4?`$7Wt7JPahycAkMv95qEtmx4rWTU2U2!0)c86gA40UskT-rHBQ zb@T*z$1nxe)T7{agV;~Jr;>HWw_#U2aF7yE7L!geqjiR2JDQ#i74>Q<4C6}oWeh`F z(vLDvhZJs&wWuhkzY*o*0hD!9x4V~SxYZ}dj$n(fJ6AK9lZBJyA=M9kEWa?L^3GP) zHYfPf{*s`WI?&^cdbzq`xS24L)4NM320zAAmG3=GujXRu)ECR3H0}R%J)#Rin+4n2 z{2s!^3LdkfYZ++Ou1D$rG`Rex;D-hzUV4jkK0c&W2Ar7-lVfmOPHk_Ed_;k*dFB^M z-8uL0aqk{L&zCQqZXR)KHZdd8N)Y~|@_SpNW=&`RYA6B6!Pte$Hq1u&Pi|>2L9xm4 z>TmszH*OYu6z$hVcR2N_sD-WySM-0LCfz^hEca{8wYhmG&#_i6=S~Q&k9}X_q76a1(iYhGIOo4 zY!m*GC|y*d;@X8S#F*PSGN@Oh^e6?4GM$U$T!39|L9YzQ-d3zOA?l-#;4G z7Aev{{B<-2$VCH$g1gC&6*h|6j%og&Smdg>Up$ZT(Ctlu4=XQBn};k|8FMRshAA)3 z7&QEB>~G6@n5;7dGZCVy85m5_#0&SwkqNb3q8OSzjRhJtth@|3)8*Px)3N@1b;g0j zTj7Rn)pZ|RUg(}&b!Cy*%s?-a9R|h1;<`BSGqI8wx(UpscbA)+o8Nts*f6QOpgkmH z`JTU#S+{RL)tcK;@cuco1+3uUhEO2CKEVIn`EAt!!h zFE-b8<;A~U=aP7%66J+Mgq85~cTGY^yF&V}QsK)-@WHH{#muGE<(L4#iP)O~MbkP3 z)5zvsMaWqKUjgKS+W^u}B^+C;dK|h*CV$X#E3%&<$iiYuqN>0}NSW`VHuz{1PdS0} zs*+P3%;fr7mgO6qY<=z1#iDl)H7)wUa&wT|?- z6L^DV#uWA@+Cp_Ekyn~uGkZRq$sqK{s?Q7i(gm}Twj{=YVwQ-OiOt3Rjk7ni zv1UoZ0>IyY;6N#&6oO+M^t4AOCSqf}ANue_ilcZZ;M%&yCGrwM@@6zV zIB4EO@#IN}Z!BP1&V+%5!{Wu3!2U!{#UETGHP`KqCXQKXssK}JY}j}}hxpq<=-Z(3 z%$)qf-yyT<)<@Uul`9C*lqq!a%<9eA_ozs4-Mt4&esXABIO1NX;C;Y+Ox#*PKUm7cvmZALD6iX}N(A z7WF=NHpIll0y~w`tC!gqI}hzk*M0C~2@4LKpn?tk+uZ zK+U#Zs9$L<1_4w<39~@|xBy8vLzg093meRpTU_Wu=XJeXYd}kvN z@;J?FY)mf6@rgP=cQDi4>I&=`81`I5EA3;7!Vb$fC6sA|9Kq?#ePeg5qUXz3c@7m| zI5>r3jCs0dv;3r+dt0=eSdf}CbbyL_>tEFuKUz|E!M5*g68V^7uaja-V~PbUWM&6B z==8gS9GSGAZL%;Ubci z7N+Ic4QcZZmst=HwbpWyt=!px(8n@jS;nUAe^MW_uF!UH6Zeu#Ud+ zoQIGKe;Bf)-$tf6&$d5`UEbbyC)={lhqEK<@nolXGCZq{kGDU-+h<}bt(PZ_TK2se z$)R*iN!7=!z%LKJ$u(VROwj>yXZLANX38UW%Ef-;+hhON3t;}BXQ~7&6i>z5XMN&i z60FO#gw2x)w)1)a0J$yy0X3Tn$dqf^HUAUXQxKzL5^2uQ2^tw~UJM+6^frvL7K+1d zS(z*XB!PIWv1_`Yi9c=vd(7@T)d5O?frGovQ#%Gi5dGV1!gk#S~bx)$?dhDJLb zCv8vRAKZta5ecA>*!!>7{>X4VbyrC==$?yR`G^@FwA|@%nm(x(q2IO_X9xwM8W`XP zhTgCT ziYsmWeby{dy93^33Kpx4b-UAAIHB#L?ZEKS&2mxCUL;)}hZa_-usYBt# ziZoH9w9%^pYcN{&|AY!aW`Nz}p(N|$%lf8H^IxF(w6@me^3qF6iRyEsG-_@a!RwIFt*mVM6JPRDlzoTj*C-O zyLd6HrpV!vkbGnFsud)7paGSru13V~aB6W)<}P^Du0)C1OF{Y!4yXk+Yc^sbh9ZW+ zV@%vdS{u}WWU%7^_)k-N4e?)r{aBFzTq6iE;-*hA7mYTY;ik->d+uSeaM4eGYpgbM z4`rJrkW0|86vM)-!>Y9z1j0@t{W%CnnO@Lz?xtVTR>wwf5)~rJ!z(q!WBGpcwt|<0 z)Ug)u&ovHD)_;NtJ91`u`HNKy1i|`ZtHg$+6>5)X?{*7!cz7xv9r9a*vG8h>T>S_u z>S*8(cp&O1+EP(~nsYKUarCu}NZ6K;VUX)=BonAD#GT=pv@$iS@|!I6vYtbY*pHxUGqQwo@cf+S<8_&7lW2{DZFjeLt3 zI^X;S;zB{hBsQ1rYp{d3{;V<6o_-}pF=0De-Byg8&}Kypg%r47gm{uYi%g!~HZFA; z{7sIpLLfO;13kFTR2d#z_A%C0k{A9QZspHkf_4yn+6aNXXbK^5?%#= zetaae$h-WF7=sxsM=Si9b1y!VW7mb`ZA1ui^8*ZW)8iu#HA6$OZOfs=!hnMm+Q{8q zvp-2yZuiJm0-R*>hSvjGqa!lFmCv&HbEkl#i44$iIobdl*?z2HVURhX_{CI=waI^rTj?AnWE)hTXS_7JxV~>zATvwvQUz< zoDcJVguy!26KQN|$!$c!DyU9aTpMiM7r}MoP291eqaNh}@9s1QHZR*|Fy=>M=S#lJ zbk)a{me0&UB_JO9+-62m1`R+*Ms7M8VT2-nzH+V-s2e!*z(IwZ;km0dv9T_vA&pwU zm`L4<{vhuppOY)KG1GvcWnDB;)|C*Pb`GSO3*u6@vtzX-svp@!ft%G#IfB%XC(VEF zFAh*-5aA^m^d&+n%XZ!Qx!T;>rL*tMJX#uIoq$AIzBZ9SJL6C1QE`TRn-dfV~VKQ>29`n!m#blHbf@tia!DSydY@%PM*QVOF2wY+ zfBn!CHmyAmg^}19l=)yr|$7zMK1s#Oe(}IF4pK|Dee{K73&Lf zpKKohuAB#LUIa|BuTVH{66>z1_?gmvNF=wT*^fA*xwk3Qtuurs!Ni>@l zj`y_viIH$M(Q7;Vltjb@)ig)M!TF|Yl5*`~W>PJY?Mf0eKaCGtPnk*!V(0-@5*tma z&m(!%{)>i*vqRGl6(s=Vj3P`fT?9JpKgqFg$K7UGZ23 zvq3?5QWkI-_r5V#Ceo*$gu|OY+5RS9E(+Kw50~Lj;e*+8oDg$m@?>3Hq;;J zaG3md5$H3_^0&rZKUicx&R(821L>?cB^L`!85t18mn2#rz+?iu!(ya>ck*&>`psrK zs*2B1)zr3FW|AXCvbE*nw2G1onr8Zv3mP*`rAAWeJnREThs%>mY-K>xA}Fje66HmZ#3fR3c(M>aJd0cJtXsLO2|i|m87!;iNYs_Wcro%}Im@g%gkMw)^X zkQ<(^=8<(>9=J%V2TqC_6ESEU&%e4H6J1hZVq(F<&jLxkH++2scERUEvlv!{M^j_Q z%=>H2Z%k?Gg7gRz^1rycXi1x%NvB80XjoA};=j$PoGx3nF8rzlR3{QBpU&K4Y^%uK zz4)^H-+QW!Jy?CWi%a3YvYXsYUv}gxRB&(*GcN7;e{S^R z!a5tc^DWw=lBT2rOEDQyM@Foa90^`-k%u(5;efUr3p{_`k14&ZRv4R6M+c`Jfe{e8Qs8o|wH2r_GUnJ6U zQSnE1X3;h$H*F(9gY)NvaL(x2+MSRw0xxlWjH!x>NS{6lBxm3gia{siTnyvQ6hzWm zs7jDhqf}qq?KHtxu|Jwp^cSCRmv7{o#3Pq`-AQ%>xm=d@{foU!PJC48WvsK ze|$$K3#jCfG?O`wh||mEJuGR0vFr&D4-*NiqOK@Jt5eqJh98IJg(GLZ9riCTE09pb zi{R^spDleZ`hY7vuxYHJ=YN4xu-LC`^+LqrxLBxYs_`;PcH$H`B+MMNkxnzy-9ecJ zDnZHTT5f=TZ1i8dC&QRh)B)^~_Vy}T9+aP9C;_|UT-J#bZfOWNFCW7jYoVJroVMGz z6TTG%x+VDBVN1bOFqlpr_3k(DQ!o8{kdkd_Dn7pRdcb&}6O93k^JB+j

Kv z=1P@QGfstf)j<;^MECQ2O`iuN2?kx26K|h3-@_A2i}$mH0e!Sq)I3K)Kwilo2C(xI zz)xc#YJ~swd%9Fdq%C_^|Gqw}nYjgdC^FXYZephueEBul)}7rR}>&iZ^bSg*QN#8ow9?%=*bX!7MjoV(P9Hj1NQfF`(Ml*U9ZX%bUO}2 zQh`FbW2y4xUD;->E9r?@BqFl<@nK0X1$5=h6nIz?RLRFSe>40e0>qN$xDvXAFri?f zC2O{o#HnkM?Gw=I-MYynE=BMu+1{E9GlKPoc;JkB+UbMJ>dv zcjXN;J3~fE2oLim7#ap12|u#f68CyJQwX5IBOQp9J$3kJ&_?#hgdS+!4 zp%#r7wJ){thveI7Qby68i1tgarF)ASX7vE}ePOBb*TJupR?Rb6qH*z-v6Cc&fiTib z>P%yC@+t^ZqI<|Zd5?c9oM79MrfEH|)1exntFm95_V)Ttmwv|Kp@$=heZZhSd3&Am zUEf4UFd~1e8I)3#*4C6#9GKDQOpIYejL8fn4yH9dB$l8I+CKjw2gixqj~G4+3k_2h z%hIR=_}7U9;pE|9B{BQ#WYmF(_$cRXB`QfNS8YRX)J}i*iWre0UFI?4N<{?=k&MW= z77XYsruBL(hhZ`iuqMm;bD;x7TgiC{(R{53w2?4NM;?t+l=>pj69Me)jNA2ebqtnY z*lej&oiICaO}=YUf8vY%^T!5e9g$vD3J1(l9qqC$XxR$sKwz$++dCuerYiB5R|0Fed+DYx4>26g@v#9N%KtkcK#EVIA=aHOnzQ&P;~(cjG6)T zm)RUV8J>hO72IFu66G@P_ION|*|EGmm}xAggp~JjmLxWWoCO64Fg#&z5F*Rt1(G_? z208(X7#Sj&cGMvKkLbG0(*!YE5x;@;PS(y?x#uT&Mdh&O%WcVcsPFqG4ZpL#h(wp? z$xGW4bbsYRnd0a*cfAE8M1z1_a|}hsy8>PT+RS8S=^Q{@YUcT2a{|S^t2JT+vUBv4MBR7@O zmpvs*!gfcSotbS!L{}UjzcnJ9Eoe3#lG5SB(P9a~n-fPOP~&N27!99(IGCd%v$N$$@Id8*Fq4iC;mpnU`j_frf`AVwJ?%-zX`KvpRft(I6?Dr|} zD788RI4L*#cX;vSfL2LRDX80JR^z=cV7j*Kf`JBRhUmV4_>1TC4`Sf@d^sTLvfS`i0SWQT@Sl}j_-{Hc4RjbMwChG70Ep@ zihVsBHiPLpwd-NUaXG_Es}|Y8r^59v*I40L>KhV2L~9Oe=_0eT&)#l8VUlw^-$j)A zx9apuu1h~OA-EO?AvO2V0y}t(cOb9-{ferZW834{XL4(hu^;_nP{t3qq&>kXpj1PDjP;Q-%BC zt#^D!_#b;c9jD2Dl3 zC$WtKNQA68nBEt;-T!ruX9VxUai?aXQYXw954k;0oYLT{Z!r$uu4Z7{R6H0dPRa5u zJsY;@noU@6v!z8xMIl>EWkn8fwi36D@AaQ~sH>=ah0MBq`t%9XGOenkBXDZ@!9Zz? zbxI`$@kmFlZC>Gk??h4e=kQRtOF(&({n{5zULKC(&E5$w)kW1t#C<0yz#yotOwTtxgef3fn$^Bk!O*&y%ZRcSf~(TvO^m_uv%C=77jfr!=HBJE-o5!eUdNe?{h^g?`a~6`u zfs(mnpWEl?{o2`$q32=cvdMI*wvJdfS^DA*{>>(OY@U^Zl<^&ts2ifA!^7Sk=ea*T zwe;B|XT-GhgzXYiEJGTG4QZ>d5`VbrRe;ERnfCu41~W{xs0utl$J z0Yrf@uyIhUF|lkp_im$*Ag$!~Kv}OiT?r}wlNs1-gy^Hf`c&h1)0WR!oXiNCb4*po zc_Y47cU_GBCZEULNwt7PObY|_Vvr6`xe&pZ(+01zC1n|bIatVC*`^B``wk9~0&N5n zcE7p1N{R?l4IOcJv_Xp@JY8gZSwRPzwG*od)mUP5X3yG-oUv~7=Oaj^Sr=#h? zpXJ>=G`4w2es6KiG2EkbbbOyh1$1QJI`25W_`Nh(3Kwg@v} z^3jY0V&ih6jQ-Dgb=moc$JI37n|}Oi`B`aAu(kSz9MF@S&TR>y?M033rY|0LoCF}V zYCJ9O38`Wv3MM>n^Bis&4}Jn>yhkww>Q*&NGVc>8h)?ZhOIPqvJIZaRhlY&;3~2b# zpLA2}zMa7iCWClxk7v+jxq=z%du$$zhj1f9tpDSGh`hm$xT{_JC%W^&!JTNG(ca8JOLik&TOocLkYW!+1UYIjHfS zv`R`9;sd3nKS7DTEKNTfejL@D6J52(&}H4@eoJ)a;P}UN<@Wi;ViPDQV#Uf*#-Dk1 zgJz=Kw%IJc;?TB-51GKz{coJHc_^9y)@jK+&3Rr^`)ZQJk=}AlB9SW!QyP-R)|Tv| z3rrP-DnS2c%utq@^@GAUxEi0HUl(vjADZ7Os%lGJx>07Ja(=}0jGv3lKQS}g`<0%} zUkQ@vqhwWVdh{2ym?rTKwudyz^1ggV7m6R9Uz1jsWPRG9|CJ#saK(s?9)A=P0VzQm zmVm0NSaZ>8WrwWq85w3vr^Q4@GXVQfWeLi9(J2X2*GDSTXAz%Rpl;6?9QW-2<0g>8&&e64 zI3bgiKh7N(IuyjV6cl>+3P7FY{97te13@tpSp!i_n-AQkAxO<%dq7jd58K8Mf;tfV zOj1J^GZsg4uIzuio8!uJbd1{|%owS! z8h1UUA+!BhM6N!DGKdE#bKPf>A?&})-c4pd8IG4^OejlBufGUzDT?_|2s!fA<)1}F zL?9H?^U&W}96~i9RC#s&34BQ$G-ryoXTA-?RCyDGaue)^fOf`pI-?U)Bp$h=8mt6oWJRX88AITMZ+B)Q~AA! zYS>CF8Z@Q<3h~WHIO_V72FS<^=*;v39FV@E#wN)8@Ta5GQ&N|nx?WDClgI)uDHHkn zOps1;cr}>;P<^DB6o+%Z$%k=c1E4dH&~@%45EhFw^4~0X-)$rlD^2F@1Szd9xUlQf z*{>8lh#F1C^1goDPYHLAa_RrmZfEDw4}!5D&@!`KTGUcW7ian{z|DaxHta0kTktzy z<5pmUpJSUPKpthsi*)I4q2)}Nu~R6%ahSB)*Kk#9WVb>deXBoU#Xod_x!qS)9KCk6 zWiZq9-OCef2EX?OKe%oE!2A55JJ#KOjSYOcRk)0&Zg0=aFOPh6c{ymtQ!v}8pFXnW z_QGG&(!x(86Vp3B-X+PYNJ0=59xjB<--14bi$y$RYl4jk7rao*Ahmm7;BbGFaZEAD z<0S`@6u@t2)BV(+gFlzoC%GbA-Q1j^Ht#MhEKI~};dj8k47k+^jZhG@#~?T}>4&Fx z6+uf~U>4)Sn=9_T_87wD``4p4q~SHt8%tvTcd=zHQkxPJ(Wd+kch|B76DO#nqoZ&! zX>?bLbDofq^)nn2Iwu-AS27X~edBXh_t$uOsYV%fPXEk`{B@H)6KgByEPY@-Rji4P zvVif=H(h}WQ_fI1|1Wg(ffUN;>Ev;l9iTraXa`n&8~@h}V5i0Dg4YVKR(AWsTQVHG z>B0Fa9My)39%}T#cEKVk5?fQeC8|tbZ=H#AeqM`z0VcT@OmRwe)MSX!S@~^ndTpeMt z_q$#s)dyUk8vAhk#mgM3KbiYIpwYV|Qepk@ROL%(6+<9Xd(h-^(3b<+=YnVm9ui$e zjzdTo5wC125mGI$5Lq7d>qkB+Iaj6T7Tl-M&Ha6)x?|$IyM6Q_4K6?VTz)mt=vK%Km*Ddx1kn9Jfaa>NT1XR*){t{GUJT zz6Dsd%xD19uE&Jvz%dHN-)&1~D)oVMd%X5hqZ=bQ?&sFsBEDf`(F6a@wL^kuM=Y}k zw*SdPmuAc}SGmidvbp`M?`qWXV)vj1$zvG*omdB}QrRT`M3X(|1>v>~cVFe5iw%!h zesKks{V$)dmDF9HXpxXkypG?*JpPSTE$0W;h>zOw*f`#zpzai1}G;F#oJreg5u2|%PD3)u4XkB7pJFRH%D?J-!QISV+xIET;*`FJ#qU}XMARUD|K;pZt%AU8|5M< znOVQsoT3nwO5)9ycE_laaCYM&|IP&6FQ2>X8FzGKn@`$s@gz@-FuC?0`I5^kD;cD5 z{mOPlQfaQ?Bz$I?S-+spCsW!Fzl!x0L6{NLSYA#?H$^8PaCvX5d!1q(VtXoN}ggw3+AY;3CT` zlOZNCUc)hF>EPxf@f54vs|qp9m7<{W;kDqbkN`d+YWZ)MbO0`D=ALy|O@u{P`qf^h z_6#c9lUHoI{lj#3Ju*N0ZU5I9zmerTPm})@)?E}gLCo}utxk^GE2-E57-Qa4WNF*q zRXtopBYY`2oS?C4LkWYJGn7#8nkj;irTGq>uv%2#gUI`yO+4W4a`2o9DqiNV4TF^D zus`4z7Cq&*l{M&OxnJIm(SfG+;TDx;pyZ`S4GVTE`CcQmeK76p?10aDNzD6Gf^B>v z?dbf-##QkTJbBtf$Q;ziysMq#qV>z&arg4zO$2C##g&!L`WmZbb`!KpTG9gDAhMl} z{9}~w+g@%sPEkrELr>8`-%J#tMd8sn|nrD0h!m7-j@Wtgm zGdcNYZy{zIjKI6=RR8 zDkKK~yJ5TX@Wke$#0U#~)ye5)E}GQA>A3s}Lgo|jkr2vZdy9O&>k}dCsUjd&o6E!- zEqs6+Pp4?mKQF@Jysi2;&`qw15yEsszoe9h+2q#0LFkWL`m;0Di}o`Pj5v>9dsl&E zS-)E}6*4pRq6jFprn;vz+0-oiNsTI9f7ygf>-HTPXF0BCb)#ZoQ2|;45NmkE(;kU0 zzvOn~Qa-NTMvE$V5N1tmzB;nxok7wFhU%*F_7)BKMh@ zpfi_q-?u0_zHe)sn7xrrnd`1iO|6AQk82{kki#hTIgN_9Wc;#S75j{dC?*1U*8 z^;i7Tmqn<1cgp5Mre2L0j}jx{H36&97*-x#UPW0@GExa9(}n$fcrse~8a6Y@cv15G z>9!r;&6>sE_V%fiI0ZnA;L$N$$dSRNY;0_#Z!{Dw=K1Xr*%D2+B8`lPyV=fsV$i!x zBY4q8$IMqg_hsa@NiGX-`{q*4?Ku_;yRr0*w>L5q1IsPXwUt>iuPvvqf_ns39TxJy~-#E!KGCA`Cgla>nkCmRg|2W&>YT@`b+CWDT)yxqLz=? zK~>Erlf(L#$TtrEIybGM3S*0b$jpxWlkSGCaAcmmIk2K{wbeq}v-NuDm^+uXn+ zhs3Edkf1LtU%{RM%bF5hUSRJGJ>?!*)fY{3jdN$Ka$D!IWA~`u-1IE|={S_zD{)=lqa*Am>%)&u&Ud2W zdgUvNFCGTze3LlbkE!o>qIg21qHIP<>qY*vBB0zgA|8`eKni&A+^`8gV=ePI-2QJwa?2B9Wh*5)f-%nx%I9rH?0Ddxa=G(6tRCSb1KV5_Z%EtUFqoQL&e0Jq1PVG z^JJyra4vpamChPR{8e(8r7AL($So@a1H+s*>eE)8Vku89ObH9xG(4UP+qs*^aeg+- z%0E3uCDXe?$JKj?TwF8&9z~gx2~q7b7+*4Xg9S^l_;1Sz9DwC8_86{iHcS)X`4!A# za3}Lxm^K&{jU;?l&;8rqo%HNrZ)2c$Wgvwkq&?(eJ`a)Lono659}@CHOiT>pUJr6! z()hb$^$O$?bad9&#+1M%?BnXkD?=Tsw5Ue|BQ^z`# zEgsb4kFEprHAiZCJU&Bo{4ZNltBb6ziHV6R!#e!4LajbWrQ9L4(=c{Lk0!FbidO-8 z6FJG@XeV$Uq9@ufx^-7hMWDxLUkFFk)G9pA@NSpZZ0^{5m(({$Erc49g99&X_>79+ z97Z)7$s@tZ@`*Bsjp`8hPwyVC{yKips{TnQ(QFJKf1TSe6ztjbgRs`x^y+vGOq~fE z38uNDQeK@)^AS3iTI9Z6qNz!0rcbzx?^%77gr&3}=PwC1i$3|oGm?>gr&;$-i~Eha zIrA}-j;^j_%k2=?4i9CsO&7it1zI#Tw3jU7j!7RvbDrJxGM898GAgO)1;H9hQ<7;T zF`f*%D=&D)FD|}QZ)w!sjXaO*VhJ!aGQ zb$(^6%LLROJ%{PQA7j|Tbgqmv1UD={B^ga#+jM^l6%C_x1~Euc_zCfxnY6Cw@(6FT z)|KaCVZkR+Pi$f&$uwtJpld|ziS^B01ZYq5ew-#ayk2a)2BCo=Wj!0ydTi40zvxuT zRLJ;%zkjC1EtIxc$&;tpxw^L!&}-gddXt0qcU0*CdfVFI7e$xp=09HiMS$sFGbEZ? zGB7X@n~1Dq;!EGO4HB=58*31wh_(8ALg;?syB!R?E~VA83D>hNS`FPU({`gVE*IF? z0#bG}BxFzv>mSN?6#wjOBP+43-(WCYIs%CDam$=G)u^-(mO@J|?vmu9{)(v*PR?Wt zRvz^U)-PWS+Ji^4QLHt#tt$TU*amW|6<2VLsc5?4wAbKCLNPYRC-e=$Nx+Z?j}DoH z6h*z2+2QXkIgfP)fTMa;HLo)G$=lCZh!!o@C(^EcQfM_GKY4|j89$(y?e52h;4r}|_Ucw*Nkd|0E5KXjbB9Z3%dg?HC zla-^dJch}xrFXU0M(N|J8bE6GJnW-ehNm|qm9`nR%^~pQA%|)C$UrnKj=9+ewYG{L zGn0!Qtjq=nn#SV*RF+o}`{c5?N$RPGka}^V2+af8)Zyoah$8>`Y0!sIa(R8l=A^;P zZS`y#4O2}`ZERxVq;oX-a;|?Sh1({zilxmYX43k%t=*RU)_*jWm6h~NOwSD_e;GnQ z6aawID^h+*P)BXt4K)FlT%uJ|w4hD|S~Vn#$8#rkV&w}S;Zv;ki=yG-;h~|SqQ&E& z>F%khni>J{WcY-Hcw}Ty>AY`F#U*ff+rmN?=i4LH%+O)5J!8p3;Y5Y*%iuu@1guPT171Ox;?QT^y9^W23FH#ewxNJ26w z01=B+AP#tXT3Xs*fMUZVA=!!ig#1*Dkd-*f)yq`V$cWORF1^90I&3Fg$l8tndwxE3 z_sX)+Ha{djK4WZ5^|$SebWNM6f&zws>ps3?g+JLwUbL{dzHWbBbcurtJ#+u}XXHGn+`0i9y(zfNZ zqoX71`9{sieB?QZr6uDvF^AQchrXjK-3AwMlIf>FO9dv1rR5fvrTj;ypmw`yRfXdQ z1PpRkh2nzY)!WOMh$%~?!e~tA$V?}GQX(QE=$Tr!zQP2opx`KN!MY$nKbb-zc&l zOHEBmR1^tNh_ZmK4`d3>#HL(;9$8*o)l9c#RI}jOouA{D&7apl8C#~iT}i`@bF>uA z&FR4~Bqb%WNlEvx6NT!!2|m-~H~ywdLEjk0;s5#uEV{USQy>C%rbWfd8nZW3>$pG5 z2RLG4pq0jPV+ib|=NV;t!2wU(_Tmx~rKF`%wzjq|Z*Jn#(+3*ePu!M*2;B~vE`EY~ z4S@YJuhHVRp7c{MUIVQHL$4aX9G#!9n_=B2Z>@-@2s0;S30)d@%gQk(QpWdAHn_4d zCWim{!yDQ4FAaKbf{*qb_$)KP8NV>jc!x?V@c9}m!i}K}Cr_S0pZjJ&WMpMuHa9nKo<-5roqBk; z%;im}sWK9Pd-Z%}$43kLSpC96QGP+^HYp|!Z%f4rLP`iW=xzR>b{iKDPYwd1 zWnc&c-)t5_XaD3YJ5hkR|F>d0ot9J1q~9}Q&V#93C3;P%lam_2j13J9kzc$x>7j~_ z$;^Zp8d4mzuz2WBg+)cJffNoJ)ok1q`OTX3Ac7tr&1F}1{r1Z7@(RlUKobYg8Bo(@ zviklts1XysceMv*MoCHexF2QHv7KZ=+x|g;Pk7zD{H+A~wG?*>hpeK_?%7&+9(tmD zXL0%7;z7uLaMlA7Zl+duDwkDe48-Ivz~m=;*It^NQsuDY%{IGsl5~{Gu<$-F*iTC!sX%lV2THa zlUHkh;9_EmQi^6s7IuI8?P5XZ(uIqBrzzK~9ngQje+ls%jaFIqhJ zSR!LFC6|{%oRUwpN8j`@udMU69yOog^JhSTJ91nMz+$-bIVqWht@581$07zdo$96K z_NFA{epCiza-{9{IJO&JG&Z|$vcNs>^DHK)pVzt4YIj!6M9J3(<}AVS*Lr7Zz5U9q5(mG)Jm3n(R&2P`ZoTYlF6<#-=8_Ej}O? zo{{&YuzAZT5nH;Pr-KS8uM=HbEGFImHj0eW2G?h_HmuNt#M_#^Z)BB}UM$jK-K9U= z>=1TLS4B8<_w+)AFz;sT9D#FLUS5{G6aL;B1Ogqv@u>icRrW|uM|XGC(iZZ!m96F3 zZw{3Rt>cbxg7+OG`tR(Y?C!{Up6|99u(C2bd>9svfA=r`8ppLHeV3Op=U{GUlYxMo zoaJ8uvcGVsw@|Mhsp)-_h|x;$*>YhexkGn4} z7cH+yl@T~1;0`D_IZuBN8*&n}r4VzR0%OGuL(YI~(ARPL+`0)0>WDD#2nl7>x*RP1 zy-0lfnn|kzeb^2Madh{F0;c|n9=~VJp*uleRW-qQT4}%-oxi_OF)cJYx*LIr2RO}G zaOwaaKDHOU#Qo~@F(rLM&oipwpqa!Eyy*m}O@eu!8yj$7I=XZAs6R&YWERfd)5UeXrNf#$sD=Pb2YuMBxdow+qVP3x zsj`MfsCdphuw8*LJDc2)%=v`G>VEvSsJK{HSpmdEu)X;IYo+RreC&w^Uz^lO*0x8r zIwqH!mlpnh}T5c-5E2OmfN$|7wNqB&ylEPqD@wU zk=bnM%<(8-wq2QV_rM)~)o*&*3YZh_mrIEtVU|_+@^b$Tn0~%PF~%2IeehB^?bi`( zpGv1NFa{?y3K*GWfim!zSF4EO-oZLF&Tz}#xK6>t)@MfBmt1q6!hz=yzI*>vIu=}d#mp2ORlX{+)I zlm6F8F8i}`U|_J}M~W`EIxKwiAvQMlmF9C4l(>Y14nPAK**SYmq*c|_zFnVM0Ljw; zy3i#Glw-kq>oCi}RiCojAAWk|qrILL(2tBkp7W21$1|_@MI&zbQCLv$?R4|A%-}Du zP5C5g_62qEz^0`Cl8}%Ps8uRmK2ha%WVGtQr&an}d#K9$#sz3zLS~&u69Lcs>BZGKr<?T>{gukVDZ$UtdwTGIv6FsH2PvmUy{}e)BW9-y4_DHVe&jpA&&jY5y$DKuPHjj1^3K zXjmAIJ~p!`(Cv@rb+JG9Q(JB~#t6-G0im8EVX=xHV1qB7WlNABgr%oV#AswEOx87k1wn}^?2lC-MplQS9svUK4qNWC#l@dZvuhwn77G+KV)A6!>N= zp#6b6&i+JyxvxyiwGa&z55aI8tHdj%M;;RI>6Pjo7;y5cnEg=v^C!KLu`wVNmuaA5 zBSmRC1EDPeSLGMxaFLdQu4P`ia`@g0=H}*hU_!H%-mQ))eS)h(SxAG##f~l_{wc!~ zfXJpOrrn)usGTzM_3dD$x-rY$!q-1dAW}$U54+jVU@6>2_I^zP^N~0E3bN2nkRTlV zVS%l#uG(%Dj3qsOpG7^wta(-1B5b8XPQ~ok;{4S>mTPTtA>JPhafs_n7fpsld3JX8 zp1wW@LE1!lQkCyOee`^-^l4(4OkB%HY=JA{aMfH@#@?Z(E*`=b2f_Uf5kEf1b%z6? zlgA~aGWp(5x#|>>i`aUbTY1pQ=en;`WxTudWps2@Qc4PkjBGzn-vvm43;|dE`?=}@ zNg(W%1djr%#I52Bah2h!Uakyy1kz^NXjMrJjcRxpKR`Gee& zkue;|Gyz+Fb$c_4b3W8mL%Sk3M^s|ZntLTzqfI@O|an5tmGY{xGy{?5VfbHkcRj(8)p%N9D4K2 zL#Dz0@eyoVh;FW5FD7eMMK?Zu`qaZjt4Kf^;_~?!wA%XS)EtpjBfS~Z^<(dug#TNW zLdqcRcjnNT`0Vaq{pj{D6$+HU-FZ-OlX#ttU%6z7*mPOX&QbrVle2e?=kzRTDyafb zquzfqS<(I9=K&;4brSXB!K01Zhx?-O4Y3vCkxjOh7$nE_u6Jh_mfUL$>}$yWLsYBO z_Wa;UHqWk2RrCp_hYf6i&C+H13i`(0TM>AW{2inC#RqjljiSI0slxq?eTvEw6xE!mNNl;2NIL50&{Sp@deuf)IB^E%W5B- zdIEm=E^5yq4go*jZ92Z>Lj`}x9;R5O#s;+!!XYv7qM&%;`tARJ;Fg7#plLl|z`7RP O07*^?B3UMG;QxPD^ESZ% literal 0 HcmV?d00001 diff --git a/pytorch_vision_mobilenet_v2.md b/pytorch_vision_mobilenet_v2.md index 8af42b9c..f7a5f2b4 100644 --- a/pytorch_vision_mobilenet_v2.md +++ b/pytorch_vision_mobilenet_v2.md @@ -8,7 +8,7 @@ category: researchers image: mobilenet_v2_1.png author: Pytorch Team tags: [vision, scriptable] -github-link: https://github.com/pytorch/vision/blob/main/torchvision/models/mobilenet.py +github-link: https://github.com/pytorch/vision/blob/main/torchvision/models/mobilenetv2.py github-id: pytorch/vision featured_image_1: mobilenet_v2_1.png featured_image_2: mobilenet_v2_2.png diff --git a/pytorch_vision_mobilenet_v3.md b/pytorch_vision_mobilenet_v3.md new file mode 100644 index 00000000..a8bcf902 --- /dev/null +++ b/pytorch_vision_mobilenet_v3.md @@ -0,0 +1,98 @@ +--- +layout: hub_detail +background-class: hub-background +body-class: hub +title: MobileNet v3 +summary: Highly Efficient networks optimized for speed and memory, with residual blocks +category: researchers +image: mobilenet_v3_1.png +author: Pytorch Team +tags: [vision, scriptable] +github-link: https://github.com/pytorch/vision/blob/main/torchvision/models/mobilenetv3.py +github-id: pytorch/vision +featured_image_1: mobilenet_v3_1.png +featured_image_2: no-image +accelerator: cuda-optional +order: 10 +--- + +```python +import torch +model = torch.hub.load('pytorch/vision:v0.10.0', 'mobilenet_v3_small', pretrained=True) +# or +# model = torch.hub.load('pytorch/vision:v0.10.0', 'mobilenet_v3_large', pretrained=True) +model.eval() +``` + +All pre-trained models expect input images normalized in the same way, +i.e. mini-batches of 3-channel RGB images of shape `(3 x H x W)`, where `H` and `W` are expected to be at least `224`. +The images have to be loaded in to a range of `[0, 1]` and then normalized using `mean = [0.485, 0.456, 0.406]` +and `std = [0.229, 0.224, 0.225]`. + +Here's a sample execution. + +```python +# Download an example image from the pytorch website +import urllib +url, filename = ("https://github.com/pytorch/hub/raw/master/images/dog.jpg", "dog.jpg") +try: urllib.URLopener().retrieve(url, filename) +except: urllib.request.urlretrieve(url, filename) +``` + +```python +# sample execution (requires torchvision) +from PIL import Image +from torchvision import transforms +input_image = Image.open(filename) +preprocess = transforms.Compose([ + transforms.Resize(256), + transforms.CenterCrop(224), + transforms.ToTensor(), + transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]), +]) +input_tensor = preprocess(input_image) +input_batch = input_tensor.unsqueeze(0) # create a mini-batch as expected by the model + +# move the input and model to GPU for speed if available +if torch.cuda.is_available(): + input_batch = input_batch.to('cuda') + model.to('cuda') + +with torch.no_grad(): + output = model(input_batch) +# Tensor of shape 1000, with confidence scores over Imagenet's 1000 classes +print(output[0]) +# The output has unnormalized scores. To get probabilities, you can run a softmax on it. +probabilities = torch.nn.functional.softmax(output[0], dim=0) +print(probabilities) +``` + +``` +# Download ImageNet labels +!wget https://raw.githubusercontent.com/pytorch/hub/master/imagenet_classes.txt +``` + +``` +# Read the categories +with open("imagenet_classes.txt", "r") as f: + categories = [s.strip() for s in f.readlines()] +# Show top categories per image +top5_prob, top5_catid = torch.topk(probabilities, 5) +for i in range(top5_prob.size(0)): + print(categories[top5_catid[i]], top5_prob[i].item()) +``` + +### Model Description + +The MobileNet v3 architecture is based some stuff. + +| Model structure | Top-1 error | Top-5 error | +| ------------------ | ----------- | ----------- | +| mobilenet_v3_large | 25.95 | 8.66 | +| mobilenet_v3_small | 32.33 | 12.59 | + + +### References + + - [Searching for MobileNetV3](https://arxiv.org/abs/1905.02244) + - [PyTorch Blog on Training MobileNetV3](https://pytorch.org/blog/torchvision-mobilenet-v3-implementation)