From bd576d3d05c5742634615064d26118ced39eba5b Mon Sep 17 00:00:00 2001 From: weishengyu Date: Mon, 1 Nov 2021 01:42:50 +0800 Subject: [PATCH] add gif demo image --- README_ch.md | 2 +- README_en.md | 2 +- docs/images/drink_demo.gif | Bin 0 -> 612291 bytes 3 files changed, 2 insertions(+), 2 deletions(-) create mode 100644 docs/images/drink_demo.gif diff --git a/README_ch.md b/README_ch.md index 62cc5ca1..61335ae0 100644 --- a/README_ch.md +++ b/README_ch.md @@ -91,7 +91,7 @@ Res2Net200_vd预训练模型Top-1精度高达85.1%。 ## 图像识别系统介绍
- +
整个图像识别系统分为三步:(1)通过一个目标检测模型,检测图像物体候选区域(2)对每个候选区域进行特征提取(3)与检索库中图像进行特征匹配,提取识别结果。 diff --git a/README_en.md b/README_en.md index e82652c2..b6dbd128 100644 --- a/README_en.md +++ b/README_en.md @@ -83,7 +83,7 @@ Quick experience of image recognition:[Link](./docs/en/tutorials/quick_start_r ## Introduction to Image Recognition Systems
- +
Image recognition can be divided into three steps: diff --git a/docs/images/drink_demo.gif b/docs/images/drink_demo.gif new file mode 100644 index 0000000000000000000000000000000000000000..599a525f7abf6889f864df4a898b5b8b7d2af55c GIT binary patch literal 612291 zcmV(}K+wNONk%w1Vc-Ga0rvm^2?qxh3keeu4jL8<6%!E~784#B6&V>B4h<7G8U`aA z7cCG8DI*#-DH=K_4iXkGDJLd2DZ;IVeXwGgL7t zZ!;}f9U?MHEhO(SyV_-P)%r9M|509ZBtHIXH|`OhIwa?d2F$BX`)+W&rMFsaZt>5Zs%iIm@rFhj%ZDaPO6M7(vA@4i3;kN z3+R~^@{^E zk#)(Zch9SH>alU_l}-1{Q1s1i@7`v!#c>oOm2z~7SY?w3Nc#{^?kZ&DFiosl$EKesHeHLsk*tg zu&l3}qovT3irBV?$E=mew42trna!(;=(3H;xu?^-sKvas(6p`WwXf-ujkd7lo^$eXO!#<*eh1>*nR= z^z7;K^6dHb>FVqB@$U2W^z!-m^7{Jq{rvX-{Qm#{|NZ^_{rvm(_4)1d@Z03*00000 z0000000000A^8LVPyhe`A^!_bMO0HmK~P09E-(WD0000i00000-~r$P00{m7?Fk%6 zu%N+%2oow?$grWqhY%x5oJg^v#fum-YTU@NqsNaRLy8 zoJq5$&6_xL>fFh*r_Y~2g9;r=w5ZXeNRujE%CxD|r%fOt?uiw9b0}CEZxUk{Fh!ZPb%($`R z$B-jSo=my2<;$2eYu?Pcv**vCLyI0wy0q!js8g$6&APSg*RW&Do=v;9?c2C>>)y?~ zx9{J;g9{%{ytwh>$dfBy&b+zv=g^}|pH98H_3PNPYv0bjyZ7(l!~TmOPrkhQ^XSv7 zU(de1`}gqU%b!obzWw`K^WopmzrX+g00t=FfCLt3;DHDxsNjMOHt67k5Jo5=gZSX{ zlZEYJ=$eK+aj0H}fbApVh$5~-;)o{hlVUn2k_Zks`<(O5H|JHV@2CT%kumc4&O7;JspXbja;eXiSibWmm}Hh2r9SZF z1J9aluBm03`LLtqJaXnkrS&g)M%pAi zOR6*Eh~J2)jy}Zdqo$jos;O+JTH=$Bv(H8gt$x(%XOFem+T-lDU0$h=p3Fv@rG??< zV{AU3*12VeOEcVr^Wuy9yf|<;99s+yI;~2X=b}@d6OK04q-rI<9E3FfD` zb_wU4<#H*ImiEjO&pcTQJ#^6{6K(X-^9W6}olb}QbkS4yoaMD!UVH7!Ig5%;jRA8b z>^tpzX{xX!x@zanp0};VFfP_ya}3JX1Z<<}*O-2b=>cEEFfFvS(uyjl zw9!T>t>hwcGuq%dBR9a`vij=1TYSzq=&1PXI_Q9N4maA|k_#=@Y_sx}-EwL3mHU8s zB9A=AIO>(>ymOAIwSws`yzscwCX$Tyx(=^O9=T4E_#4@1l=I)u&i##I2bj>|C^G#I ze~p62`~)aKFhS~1%Mx6eCU~WF$OwA6OPw}es9w%99*p#NKO+G!NlHSY3iG!= zBnePTOES`n>~#x;;UaZ3@>ln^2c~@dEoc6cvl`YErzJA&5PP6{6Pp5;r3oGjN>Cz{ z6#sN3czo?0=olY5vIxF&Sg?EkVq2E9al?d(&UL1<7wb^Qy3(2M7}sdn^jg6RRjA?< zpHKxY7B;csfdfa};GOWeaSPym<3%9jkqNgbqv&1Zk=M{6_BbUtA8zl6qdJlGI=GKb zj!%8+Yv7gOC#ou((S1tib0 zjU&#iTVNtqCcD?7ns!k{{^H?3pCqL<&5u#&LuwQi_`et0PaUOd<^2@M%L?XCo8Cm= z{#Mz)`8lwg$VwBIk~K`Lu46_ivtc0*c@F25qpdWOCR^vWMm2IR_flCml;m_LAuhEBdd0 z;p<)$4cIp%8ZenQEOxUy{srz>v9Nm;@?I4SWb~lNyBTq?rPSPFj0VOHYt*7))~KmX zE7?SL8j*YS>|~W<1XK}$$*@tZqIUgRD^WpeO)zBBQKf`HbolC(=rs~M2naF;HfkLL ztknw-*w_9^>3&=ErKp$~%*2w(f`25V>oiCs=P|Rb^~zVioJY;{O0}8~F5#cAl*z*@1qtOg@aFVjKIo!?jGYW3p}!bq2(D0&|@qo@92ji_UYd%$(v2>iJx} zPyzF8u&JHVCRe*!ZPX}Vo!nrN$+)oB&d!diU_~u(F-UHJBOJhk-Y}x4jgxvzxYsn1 zzn~Yo0b4J!MP#S`VxQ~17V*fZ)-`OIpo9)6g_l?8`!09c$ql$;7*Bze_lZt`qG;q)YM>aB(uT-_lv)4s|j04YHOAnzSZ=nEtxmN z3?~d<9W3mqI-JhMh6~2wik#M(g;VbNjb)qzqGZKN>3d>!sbnf>XRmk;X75nP>fDkV zM@LS3b-J`2q>(oEF{2m-%XBx)=#%Y8TPjm5N8aEV@0u~O)fp0zEma;YHAcvA8+m2^ zy{UhV2w6>1H+Xf*@o%qCwnkpgz_7-r|ASZd6*-4H#&CNABvncrMv3?exE>4!R zoc?d78JnqmpXVYLvj|4=fpN0=xM&*3PF=p26Gmt5r1e@Gv0SvBqf!Q)?f(e8F4x^g z+~5tHwhu+JNN@#H19oqSb!*P0Q{IDkeAj-4)p+sMK=I`&c*bWLSSUr+U0Zb|nwMUq zmOtFoRHX+%d{s^HT!4m{&g{m{-(v zRRt7ZQNlk!1wGo(P=lpNM^sD8r9JmVc$33)(pPxUwSdB=EHKz#?6P731rKt@Sp_9N zS7&w2c0Sja5BqR0B6V+y_is96WD+GJv{S+~O!=fl`z2#*wr1N?hK7}2 zIs`sd0zu0HHX39-><3voR3-Z|UEz~jxL|Uvz)^N|gW51UR%T^b_J4&mjKr8cCBlep zMT4O8NHn!#Y35nlQ!{2lDtz~VkYmoWE_YA?MR<$ld{<~{4kM^l!NiD)rQ*kyr~BMA02jA%kbi8A4qT=-@<6l60k zVm>DVCaRQ#si%P^nSt&G`h&K&~OQE+?j*>+w=qujDlV0UN_tPr_w~G

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