From 14e252834c436da42a71b6e918f1acc0d2b9f5fe Mon Sep 17 00:00:00 2001 From: unaplugin Date: Tue, 15 Sep 2020 12:02:49 +0800 Subject: [PATCH] Update: final commit --- README.md | 2 +- data/circle.png | Bin 0 -> 15069 bytes data/output.jpg | Bin 14295 -> 0 bytes 3 files changed, 1 insertion(+), 1 deletion(-) create mode 100644 data/circle.png delete mode 100644 data/output.jpg diff --git a/README.md b/README.md index 29adc77..4a51ee1 100644 --- a/README.md +++ b/README.md @@ -24,7 +24,7 @@ Add training codes into Hanqer/deep-hough-transform. 所以测试了一下如果直接输入一个二值化的图,上面只有一根直线,输出的结果上确实有一个“能量最大”的点,这个点可以作为学习的对象; 但我的工作其实是想语义性的识别圆,如果输入的是圆的二值化的图,输出的结果图就会是: -![](data/output.jpg) +![](data/circle.png) 这样的图片没法学啊。后来想了一下因为映射方法固定了,作者原始的课题就是做直线,那就是映射到Hough直线变换后的空间,这个空间不是给圆设计的。 因此如果我要进行类似的圆的检测,必须自己设计一个参数空间,然后自己设计一个c_dhct(deep hough circle transform)嵌到网络中进行训练。 diff --git a/data/circle.png b/data/circle.png new file mode 100644 index 0000000000000000000000000000000000000000..fd563e1536881afdf260d1fde8c07b402434bed4 GIT binary patch literal 15069 zcmV<3IwHl1P)004R>004l5008;`004mK004C`008P>0026e000+ooVrmw00002 zVoOIv0RM-N%)bBt010qNS#tmY0ABzA0AB!Inca&3000McNlirud6T;zXt$gs05UzhkI^OK&UDYW+ZG9c%;bGfWcA;+ z^-Yf5rIwYFG6)7voD+x${@dXffA()L+q!JSa-439GEuu1W39GM>w|X6TIKA~C~K6_ zW^W8W8Y|zFGFEH7bNIK%t9yx$4xb+JvcW&}5kIJvGj`{7JCE8<`+3;rbvf-0`!Bnn z+4OI}GWxVX&D%D(5r0}QOQ$@nDJvzc*HUQhD-Hv>HC}V=xvgP7x3;Wck1nJU3Rhx< z)ulF46}VjaO>4_>Ioe$C!`6g$#P_G$HqFzv9LVbZQ%1iY=XKla+dTF?Yx_T}Vpba` zbe-W%jkio-4ZV`g*g`v9X`#H(QX2v5nN{8yZq8V6Yc#*+#!Ic8Js53qZ6b?TWxs7pzs%#TnlPD*lU~*=vsiHj6J!n-DJ!jOBMU}r>WtxB zeut6DlsVRw{N)5+sNhz=;|gl6`MbBcV17}`>QJ;lT(3i#SGjDZpcmyT;Iabcx^ z$r?WcS2L^+>04%&KIGdruG{@|d_DYpv43gw;kd0^*akf;v1&S#d*$_eNtW2co}Ez~ z8w!^2!Z`b`4Xn)Zg+EGdjc{;irk$WoDD8`?wRdnNiG6DYOn13Wk#=r0_inIwt7YBo zcE{s$M(+#!rfu?b_aoi{FvGaB!)CJ?-YXLtNTPgBcp~8J9`_)3+(~zZVJtJWq~EKf z@)G+1*TS_bu?4THFmQRF*$^)uR$uKn@M(_QxV6Xqm;LEE^f;<*3(Gv+lN(zRqv7(Z z6(``z89duE=ah!oye+W#G_4|IUIG+!!Er;hfq|BcWVGoF;KJ%$z@4y_T@oSKLM8ad zBB!n0HnHCyUw^(8f9)P=TZgTmTRxAhy<_88&FIc+j!$vxl@Zce>vH~Z68H#k1E2?3 z6ZC!X1BLrxEn{$Ux<+XL8rqp$xrk+e!^I+oFfDrR*7bOJ#r=KG=shBfUDE2Y$T6lo zwOJW1*h9)O7--KPFu){Mw&WC8;O~mTiwN?vD+L>_OK%Wt;PYMzZt#QkyLFkV;aMrN zYh_$$&GsYR0eIW~@Z}f#@DnS&u0Z@|YPxh@Y;}{)Vd<=Q%vI!~-eyj#tFS`i9>7dE z^S-hk7gY1SA~(;Kc`tw*a3g$>wvcd;ov{^P0#C~EK7PG*W@AfS*X_&hb$5Ew=p!!v zKDYN_;xVdD+Wsr8Cqo1lh>gNl2!qNhbwXq@_A784z{lX(QgQWNGm`=P{!?>Ype})k zo@t}K01qge#8Xw6w$r_8QnPhcK&9n~ldVf|-bpr;6Z^)0X2D2jz8#uPBfb`_%vh z>DAIcHYa&`uZpfn9|c0WLNx5m#O5`?X8n44eL9R6>%6XV)nf|0t4F1}BDlN;#ejYA zPR$+SvoNd#$QkTDU6tTS&R6gNz(_$j!O9kKh*y9Rpr1m_$xO;aqHw84-nkne<%%0R zZRX3%+kXGom#2&dOi!DeQo4(%uq4*Cu!3NhcAz0tBN#s6-GO%mbVmx1jEEmyQtt68 zUO?#QK0}zqUI0|ujwSpGWw8;Xx?k>M9G4mHu|FPP-*&J6wTO7ae@FZ<*uc29%P1z- z6j6gu51e)!c9ts1yaKxs@M}20;R4ec7MB>EJ>VaX5fuc^A?7ed9r#DigFC<*f(II! zSln3(X437#03F-*OLzU5(X>zHU(;1j7cJ?iO=?)82oVErl*Yl)9kn7wk+_pZ0xEoeV9&kb(7C;1NcH+ zRH_8)!3vw52Rl|S2W2i?hNTC4@^EYeKrXQ@;Tw*aw<%O!YWL9|Z-|4S-l}!cHZe`A z>qnsU_>|GdJqY6N?Khy%lI~s)$#r7O8r_QI!OOru5guSOa5{GxA_rLO<5T4`B7$c) z2%@=yUVtCN$wgHYX9Dxq>C$AiDt-jV(}#_{>$*P7w{70+b1QwsQtx(OVDmPmfq^=1 zl?}BGSN(roF@R@gPQho@**U~y@H|Cy$?qKze3Gr6VPh7g1t9w zir{o#J@L`pa4$ifKn2gZBS08)1aRCGWDoAikFq0dhMexb>^qkTA!|rr??N(TQv&)@FVoW0FJ`b^|oV}CovyXt1 ztCA5eD08s7RFVk4H5pWv2PyHdAph8tAS~j~vbE-)_jTM7!i86-BU)B zN`t_}9b4wq-n-yOtck`-JBz)@5q!DFGK0$Lx-dMy+Ki&PeFv{bR1w*Cr8v0?$Y50x z>Bxx<(qBasr3Df6gN=E@pLV+6pjx*1xs`@O*wMGRq*jG4@VPC9BC=#nkd(jx z%3-4wMr8%v6x|!=tw}4sDplM|+bU;sG>m46c@t1BzK$P-OOSSU{Y6gB%keryLPeyI1I} zqOt{ZHIvuuyRJwV;}YQi@N5|_ZBl*mdiq$Wp$AOc=QiU0cslI&Z}>$^6XJv@>tcd; zxVF}Hh6YgOfgXbl^FmNg>CNT(KTXCZqCGr`Xy$3{x5Yo_(-Bv*y=C+hpF)1zxt+uDhj+-XV9~h z`pYv1X4kS_1m%O5U9{8tM_BE=F4MB@U!O9X(xtBlgV=IkrznXqi7{9kTG4Q*t>)4d z5#XQ?6zC8{tl*XB0&B0Bkl3Hh+8z7>2qK8uL6Jky6fO@%Tf{sdQdvt1KSH()afE(e zw!^PP%P)-HANQvhN-j-HGeqwOJ%T5W>}0AIKZw5=mbuLbxs zq~bAFU%>L*QEGj#=l8-EMt;kc0Mc2ojKY15EF5iX`twKP*d)@VL5^*l=d>b6!+ z*wEB@jHRwjTLut)(NofB-({r)p~y(MFrR}WK{SG7J7#i`a-SQ222bg5b9#+UDwBPW zHfle}zHhs54=X%+yFBY2r`OY~gQJbZ8kQJRY+LxEnJXZO7Jb%{fCb6dR*V#`mB-XA8Ayt$h^APL@Qdk2pkDUI%QOJt+h zECA{lyI0xy^naw?iyrr~(F$JMtPT3C@EuR53b`l}!VAQ0BZj7q}$6LSb zpA-RauRuIl9j0!Io1z4=gBP;JwgnIt;eyVz;0FTO4DunsgGwMb^k5FPW%n9JbNt(r zJmAh`AkvD1x&+Wv9Vx+PV>EYjzs1cg^j@!Do;3Qmw>OF{l;~|II0trOY%I8??sT3I zQc|Yv71X)R`!kdmQBx(jDmY<>*@5wAUNC7`@<+u3EAgXm5$vwY!EF)Eb%JleL;5*v zY9VTNdU7LvIU%?ZN-tfU({is;YbU%D78O*_czCk@*5<0)X?)7_4%}IaTopOg;u-Gn zEz>UN<^sNdcCWZIDjTv74yP#U7H;Me_*ZK~nsmB#+lZB(Prp1u{JGJ;9q}8M?Y7Kw zGlvFl=V3Q)ZG)R^K$Md(?_QRyE3hlU?gZ4i5H>H3E%?_$XC*wM29z7b?s!a~u32=2 z2~2+^d=;pnUEdgYpWV`qBXr$-dijjaKM5|U-Tn>tY>RQ+BDUewI+voCcj-((s0&UI z2N54e^oKS#n%7wlie&j$?M_Y!T&TlMCi+IHBc zfcJ`rw)YEj4R?^>x3}M(O(DGP5;kI*N3(?%Hs7`BCDb7|y{g27EmhF5 zU;-gR%z^zxO69(;fOnjONaeu3LlEYmN$NrtmLQ0RG9SPVeamz|m=wWjVq7|q>1Drv z7V_}p6Xm9-t?TX3;kO%wWsU+L;jP^nYReKto1=-P5wI~-fpVEd$%x`^=IG?6!wN|UzI1qfdou3<^dY0??KS{NTU(8EH?dG%G|Y#* zmZEirvxGH{6=ch|cz`>cAyj}Mprmk(|M&ygf#tV*i3`$RWht+F#XB9Ms$~K%)w4{? 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