mirror of
https://github.com/ultimatepp/ultimatepp.git
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493 lines
No EOL
183 KiB
C++
493 lines
No EOL
183 KiB
C++
topic "Image tutorial";
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[2 $$0,0#00000000000000000000000000000000:Default]
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[l288;i1120;a17;O9;~~~.1408;2 $$1,0#10431211400427159095818037425705:param]
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[a83;*R6 $$2,5#31310162474203024125188417583966:caption]
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[H4;b83;*4 $$3,5#07864147445237544204411237157677:title]
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[i288;O9;C2 $$4,6#40027414424643823182269349404212:item]
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[b42;a42;ph2 $$5,5#45413000475342174754091244180557:text]
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[l288;b17;a17;2 $$6,6#27521748481378242620020725143825:desc]
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[l321;t246;C@5;1 $$7,7#20902679421464641399138805415013:code]
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[b2503;2 $$8,0#65142375456100023862071332075487:separator]
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[*@(0.0.255)2 $$9,0#83433469410354161042741608181528:base]
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[t4167;C2 $$10,0#37138531426314131251341829483380:class]
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[l288;a17;*1 $$11,11#70004532496200323422659154056402:requirement]
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[i417;b42;a42;O9;~~~.416;2 $$12,12#10566046415157235020018451313112:tparam]
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[b167;C2 $$13,13#92430459443460461911108080531343:item1]
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[i288;a42;O9;C2 $$14,14#77422149456609303542238260500223:item2]
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[*@2$(0.128.128)2 $$15,15#34511555403152284025741354420178:NewsDate]
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[l321;*C$7;2 $$16,16#03451589433145915344929335295360:result]
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[l321;b83;a83;*C$7;2 $$17,17#07531550463529505371228428965313:result`-line]
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[l160;t4167;*C+117 $$18,5#88603949442205825958800053222425:package`-title]
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[2 $$19,0#53580023442335529039900623488521:gap]
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[t4167;C2 $$20,20#70211524482531209251820423858195:class`-nested]
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[b50;2 $$21,21#03324558446220344731010354752573:Par]
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[{_}%EN-US
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[s2; Image tutorial&]
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[s3; 1. Image designer and painting the image&]
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[s5; In U`+`+, predefined Images needed for application (e.g. as
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tool bar icons) are usually designed using TheIDE`'s Image designer.&]
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[s5; &]
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[s0;=
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@@rawimage:3197&1867
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&]
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[s5; &]
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[s5; Image designer stores images in .iml files, which are then included
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using one of iml headers into C`+`+ and compiled into the application.
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Such images are in the code represented as static methods of
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class representing the single .iml file ([/ image list class)].&]
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[s7; &]
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[s7; #include <CtrlLib/CtrlLib.h>&]
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[s7; &]
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[s7; using namespace Upp;&]
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[s7; &]
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[s7; [* #define IMAGECLASS ][*@(128.0.255) MyImages]&]
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[s7; [* #define IMAGEFILE <][*@(128.0.255) Image01/Image01][* .iml>]&]
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[s7; [* #include <Draw/iml.h>]&]
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[s7; &]
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[s7; class MyApp : public TopWindow `{&]
|
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[s7; public:&]
|
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[s7; -|virtual void Paint(Draw`& draw);&]
|
|
[s7; `};&]
|
|
[s7; &]
|
|
[s7; void MyApp`::Paint(Draw`& w)&]
|
|
[s7; `{&]
|
|
[s7; -|w.DrawRect(GetSize(), SColorFace());&]
|
|
[s7; -|w.[* DrawImage](50, 50, [*@(128.0.255) MyImages]`::[*@(128.0.255) MyImage]());&]
|
|
[s7; `}&]
|
|
[s7; &]
|
|
[s7; GUI`_APP`_MAIN&]
|
|
[s7; `{&]
|
|
[s7; -|MyApp().Sizeable().Run();&]
|
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[s7; `}&]
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[s7; &]
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[s5; &]
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[s0;=
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@@image:609&764
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|
(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)
|
|
&]
|
|
[s5; &]
|
|
[s3; 2. Image list classes as arrays&]
|
|
[s5; You can also access images of image list class as an array and
|
|
even change them:&]
|
|
[s5; &]
|
|
[s0;=
|
|
@@image:1009&564
|
|
(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)
|
|
&]
|
|
[s5; &]
|
|
[s7; #include <CtrlLib/CtrlLib.h>&]
|
|
[s7; &]
|
|
[s7; using namespace Upp;&]
|
|
[s7; &]
|
|
[s7; #define IMAGECLASS MyImages&]
|
|
[s7; #define IMAGEFILE <Image02/images.iml>&]
|
|
[s7; #include <Draw/iml.h>&]
|
|
[s7; &]
|
|
[s7; class MyApp : public TopWindow `{&]
|
|
[s7; public:&]
|
|
[s7; -|virtual void Paint(Draw`& draw);&]
|
|
[s7; `};&]
|
|
[s7; &]
|
|
[s7; void MyApp`::Paint(Draw`& w)&]
|
|
[s7; `{&]
|
|
[s7; -|w.DrawRect(GetSize(), SColorPaper());&]
|
|
[s7; -|for(int i `= 0; i < MyImages`::[* GetCount](); i`+`+) `{&]
|
|
[s7; -|-|w.DrawImage(50, 80 `+ 20 `* i, MyImages`::[* Get](i));&]
|
|
[s7; -|-|w.DrawText(80, 80 `+ 20 `* i, MyImages`::[* GetId](i));&]
|
|
[s7; -|`}&]
|
|
[s7; -|w.DrawImage(20, 0, 50, 50, MyImages`::Get(MyImages`::[* I`_Circle]));&]
|
|
[s7; -|w.DrawText(80, 0, AsString(MyImages`::[* Find](`"Circle`")));&]
|
|
[s7; `}&]
|
|
[s7; &]
|
|
[s7; GUI`_APP`_MAIN&]
|
|
[s7; `{&]
|
|
[s7; -|MyApp().Sizeable().Run();&]
|
|
[s7; -|Image m `= MyImages`::Circle();&]
|
|
[s7; -|MyImages`::[* Set](MyImages`::I`_Circle, MyImages`::Triangle());&]
|
|
[s7; -|MyImages`::[* Set](MyImages`::I`_Triangle, m);&]
|
|
[s7; -|MyApp().Sizeable().Run();&]
|
|
[s7; `}&]
|
|
[s7; &]
|
|
[s5; &]
|
|
[s0;=
|
|
@@image:784&920
|
|
(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)
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@@image:800&914
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(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)
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&]
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[s5; &]
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[s5; Index constants representing individual Images in .iml file
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are based on the name as defined in image designer, placed in
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image list class scope and prefixed with I`_ (like I`_Circle
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in the above example).&]
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[s5; Image list classes also provide unified interface class to its
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content: [* Iml]. In fact, method used in previous example are just
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wrappers that call Iml methods:&]
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[s7; &]
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[s7; #include <CtrlLib/CtrlLib.h>&]
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[s7; &]
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[s7; using namespace Upp;&]
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[s7; &]
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[s7; #define IMAGECLASS MyImages&]
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[s7; #define IMAGEFILE <Image02b/images.iml>&]
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[s7; #include <Draw/iml.h>&]
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[s7; &]
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[s7; class MyApp : public TopWindow `{&]
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[s7; -|[* Iml]`& iml;&]
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[s7; &]
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[s7; public:&]
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[s7; -|virtual void Paint(Draw`& draw);&]
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[s7; -|&]
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[s7; -|MyApp(Iml`& `_iml) : iml(`_iml) `{`}&]
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[s7; `};&]
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[s7; &]
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[s7; void MyApp`::Paint(Draw`& w)&]
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[s7; `{&]
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[s7; -|w.DrawRect(GetSize(), SColorPaper());&]
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[s7; -|for(int i `= 0; i < iml.[* GetCount](); i`+`+) `{&]
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[s7; -|-|w.DrawImage(50, 80 `+ 20 `* i, iml.[* Get](i));&]
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[s7; -|-|w.DrawText(80, 80 `+ 20 `* i, iml.[* GetId](i));&]
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[s7; -|`}&]
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[s7; `}&]
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[s7; &]
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[s7; GUI`_APP`_MAIN&]
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[s7; `{&]
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[s7; -|MyApp(MyImages`::[* Iml]()).Sizeable().Run();&]
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[s7; `}&]
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[s7; &]
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[s5; &]
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[s0;=
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@@image:1000&1194
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(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)
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&]
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[s5; &]
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[s3; 3. Creating and altering images in the code using ImageBuffer&]
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[s5; ImageBuffer represent a write access to the immutable Image
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value.&]
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[s7; &]
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[s7; #include <CtrlLib/CtrlLib.h>&]
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[s7; &]
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[s7; using namespace Upp;&]
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[s7; &]
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[s7; struct MyApp : public TopWindow `{&]
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[s7; -|Image img;&]
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[s7; &]
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[s7; -|virtual void Paint(Draw`& w);&]
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[s7; -|virtual void LeftDown(Point p, dword keyflags);&]
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[s7; -|&]
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[s7; -|typedef MyApp CLASSNAME;&]
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[s7; -|MyApp();&]
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[s7; `};&]
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[s7; &]
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[s7; MyApp`::MyApp()&]
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[s7; `{&]
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[s7; -|[* ImageBuffer ]ib(50, 50);&]
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[s7; -|for(int y `= 0; y < 50; y`+`+) `{&]
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[s7; -|-|[* RGBA ]`*l `= ib`[y`];&]
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[s7; -|-|for(int x `= 0; x < 50; x`+`+) `{&]
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[s7; -|-|-|if(y `=`= 0 `|`| y `=`= 49 `|`| x `=`= 0 `|`| x `=`= 49)&]
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[s7; -|-|-|-|`*l`+`+ `= Black();&]
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[s7; -|-|-|else `{&]
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[s7; -|-|-|-|l`->a `= 2 `* (x `+ y);&]
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[s7; -|-|-|-|l`->r `= 4 `* x;&]
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[s7; -|-|-|-|l`->g `= 4 `* y;&]
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[s7; -|-|-|-|l`->b `= 200;&]
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[s7; -|-|-|-|l`+`+;&]
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[s7; -|-|-|`}&]
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[s7; -|-|`}&]
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[s7; -|`}&]
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[s7; -|[* Premultiply](ib);&]
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[s7; -|img `= ib;&]
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[s7; `}&]
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[s7; &]
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[s7; void MyApp`::Paint(Draw`& w)&]
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[s7; `{&]
|
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[s7; -|w.DrawRect(GetSize(), White);&]
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[s7; -|w.DrawImage(10, 5, img);&]
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[s7; -|w.DrawImage(40, 25, img);&]
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[s7; `}&]
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[s7; &]
|
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[s7; void MyApp`::LeftDown(Point p, dword keyflags)&]
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[s7; `{&]
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[s7; -|[* ImageBuffer] ib(img);&]
|
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[s7; -|for(int y `= 15; y < 35; y`+`+) `{&]
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[s7; -|-|RGBA `*l `= ib`[y`];&]
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[s7; -|-|for(int x `= 15; x < 35; x`+`+)&]
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[s7; -|-|-|l`[x`] `= [* 100 `* Red()];&]
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[s7; -|`}&]
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[s7; -|[* img `= ib];&]
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[s7; -|Refresh();&]
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[s7; `}&]
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[s7; &]
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[s7; GUI`_APP`_MAIN&]
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[s7; `{&]
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[s7; -|MyApp().Sizeable().Run();&]
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[s7; `}&]
|
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[s7; &]
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[s5; &]
|
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[s0;=
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@@image:584&629
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)
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)
|
|
&]
|
|
[s5; &]
|
|
[s5; To create a new image, create ImageBuffer of required size and
|
|
simply set RGBA pixels of the image. ImageBuffer provides operator`[`]
|
|
returning the pointer to scanlines. When created, assign ImageBuffer
|
|
instance to Image. Note that this operation clears the ImageBuffer
|
|
(for performance reasons).&]
|
|
[s5; Ultimate`+`+ expects pixel data to be in premultiplied alpha
|
|
format `- Premultiply can do that for the whole ImageBuffer (or
|
|
Image) in straight format.&]
|
|
[s5; To alter existing Image, assign it to ImageBuffer, alter pixels
|
|
and assign back to the Image. Assigning Image to ImageBuffer
|
|
clears the Image (again, for performance reasons). In this case,
|
|
operator`* is used to combine alpha value 100 with the Red color,
|
|
resulting in correctly premultiplied RGBA pixel.&]
|
|
[s0; &]
|
|
[s3; 4. Loading Images from file&]
|
|
[s5; All of internal processing of raster image data in U`+`+ is
|
|
performed using the straightforward RGBA 4x8`-bit format. In
|
|
order to process other image format there are [* Raster] and [* RasterEncoder]
|
|
based classes. Raster represents `"input`" Image, RasterEncoder
|
|
`"output`". Images are processed in scan`-lines.&]
|
|
[s5; Individual raster formats like BMP or GIF are processed by classes
|
|
derived from [* StreamRaster]. StreamRaster provides the static
|
|
interface to register various readers; reads are able to detect
|
|
whether a given stream is in appropriate format. StreamRaster
|
|
then contains static methods like `"LoadFileAny`" which detects
|
|
the format of an image file and loads it using the appropriate
|
|
StreamRaster class.&]
|
|
[s7; &]
|
|
[s7;%- #include <CtrlLib/CtrlLib.h>&]
|
|
[s7; &]
|
|
[s7; using namespace Upp;&]
|
|
[s7; &]
|
|
[s7;%- struct MyApp : public TopWindow `{&]
|
|
[s7;%- -|Image img;&]
|
|
[s7;%- -|FileSel fs;&]
|
|
[s7; &]
|
|
[s7;%- -|void Open();&]
|
|
[s7; &]
|
|
[s7;%- -|virtual void Paint(Draw`& w);&]
|
|
[s7;%- -|virtual void LeftDown(Point, dword) `{ Open(); `}&]
|
|
[s7;%- -|&]
|
|
[s7;%- -|typedef MyApp CLASSNAME;&]
|
|
[s7;%- -|MyApp();&]
|
|
[s7;%- `};&]
|
|
[s7; &]
|
|
[s7;%- MyApp`::MyApp()&]
|
|
[s7;%- `{&]
|
|
[s7;%- -|fs.Type(`"Image file`", `"`*.bmp;`*.png;`*.tif;`*.tiff;`*.jpg;`*.jpeg;`*.gif`"
|
|
);&]
|
|
[s7;%- -|Sizeable();&]
|
|
[s7;%- `}&]
|
|
[s7; &]
|
|
[s7;%- void MyApp`::Paint(Draw`& w)&]
|
|
[s7;%- `{&]
|
|
[s7;%- -|w.DrawRect(GetSize(), White);&]
|
|
[s7;%- -|if(img)&]
|
|
[s7;%- -|-|w.DrawImage(0, 0, img);&]
|
|
[s7;%- -|else&]
|
|
[s7;%- -|-|w.DrawText(0, 0, `"No image loaded!`", Arial(30).Italic());&]
|
|
[s7;%- `}&]
|
|
[s7; &]
|
|
[s7;%- void MyApp`::Open()&]
|
|
[s7;%- `{&]
|
|
[s7;%- -|if(fs.ExecuteOpen(`"Choose the image file to open`")) `{&]
|
|
[s7;%- -|-|img `= [* StreamRaster`::LoadFileAny](`~fs);&]
|
|
[s7;%- -|-|Refresh();&]
|
|
[s7;%- -|`}&]
|
|
[s7;%- `}&]
|
|
[s7; &]
|
|
[s7;%- GUI`_APP`_MAIN&]
|
|
[s7;%- `{&]
|
|
[s7;%- -|MyApp app;&]
|
|
[s7;%- -|app.Open();&]
|
|
[s7;%- -|app.Run();&]
|
|
[s7;%- `}&]
|
|
[s5; &]
|
|
[s5; Important thing to note is that while packages dealing with
|
|
specific formats self`-register for use with LoadFileAny, you
|
|
need to add specific packages dealing with format to TheIDE project
|
|
(plugin/bmp, plugin/png, plugin/jpg, plugin/tif, plugin/gif).&]
|
|
[s5; &]
|
|
[s3; 5. Processing raster images by scanlines&]
|
|
[s5; Sometimes it is important to process images without loading
|
|
all the RGBA data into the memory. In such case Raster and [* RasterEncoder]
|
|
provide interface to process them by scanlines. This example
|
|
converts an image to grayscale (by using just G channel) and
|
|
saves it as low`-quality JPG image:&]
|
|
[s7; &]
|
|
[s7;%- #include <CtrlLib/CtrlLib.h>&]
|
|
[s7;%- #include <plugin/jpg/jpg.h>&]
|
|
[s7; &]
|
|
[s7; using namespace Upp;&]
|
|
[s7; &]
|
|
[s7;%- GUI`_APP`_MAIN&]
|
|
[s7;%- `{&]
|
|
[s7;%- -|FileSel fs;&]
|
|
[s7;%- -|fs.Type(`"Image file`", `"`*.bmp;`*.png;`*.tif;`*.tiff;`*.jpg;`*.jpeg;`*.gif`"
|
|
);&]
|
|
[s7;%- -|if(!fs.ExecuteOpen(`"Choose the image file to convert`"))&]
|
|
[s7;%- -|-|return;&]
|
|
[s7;%- -|String fn `= `~fs;&]
|
|
[s7;%- -|[* JPGEncoder] jpg(20);&]
|
|
[s7;%- -|FileIn in(fn);&]
|
|
[s7;%- -|[* One<StreamRaster> raster `= StreamRaster`::OpenAny(in)];&]
|
|
[s7;%- -|if(!raster) `{&]
|
|
[s7;%- -|-|Exclamation(`"Invalid input`");&]
|
|
[s7;%- -|-|return;&]
|
|
[s7;%- -|`}&]
|
|
[s7;%- -|FileOut out(fn `+ `".out.jpg`");&]
|
|
[s7;%- -|jpg.[* SetStream](out);&]
|
|
[s7;%- -|jpg.[* Create(raster`->GetSize())];&]
|
|
[s7;%- -|for(int i `= 0; i < raster`->[* GetHeight](); i`+`+) `{&]
|
|
[s7;%- -|-|[* RasterLine] l `= raster`->[* GetLine](i);&]
|
|
[s7;%- -|-|Buffer<RGBA> out(raster`->[* GetWidth]());&]
|
|
[s7;%- -|-|for(int j `= 0; j < raster`->[* GetWidth](); j`+`+) `{&]
|
|
[s7;%- -|-|-|out`[j`].g `= out`[j`].b `= out`[j`].r `= l`[j`].g;&]
|
|
[s7;%- -|-|-|out`[j`].a `= 255;&]
|
|
[s7;%- -|-|`}&]
|
|
[s7;%- -|-|jpg.[* WriteLine](out);&]
|
|
[s7;%- -|`}&]
|
|
[s7;%- `}&]
|
|
[s7; &]
|
|
[s5; [* StreamRaster`::OpenAny] returns a StreamRaster derived class
|
|
capable of reading the input stream (or empty One if the format
|
|
is not recognized).&]
|
|
[s5; [* RasterLine ]provides the information of single line of Raster.
|
|
It also hides the differences between referencing the data in
|
|
the memory (as ImageRaster provides the Raster interface for
|
|
regular Image) and using buffer to load the scan`-line from the
|
|
input stream (file). &]
|
|
[s5; [* GetLine ]returns required line from the Raster. Note that not
|
|
while GetLine provides `"random`" access to the Raster, not every
|
|
Raster provides fast seeks back. E.g. It is therefore advisable
|
|
to avoid seeking back if possible. E.g. plugin/jpg restarts the
|
|
reading of file when seek back is requested, that can be painfully
|
|
slow.&]
|
|
[s5; [* WriteLine ]writes a single raster line to the output RasterEncoder
|
|
`- in this case,[* JPGEncode]r.&]
|
|
[s5; &]
|
|
[s3; 6. Image cache&]
|
|
[s5; Image cache can significantly speed up GUI when Images are generated
|
|
based on the set of parameters and the same set o parameters
|
|
repeats often.&]
|
|
[s7; &]
|
|
[s7; #include <CtrlLib/CtrlLib.h>&]
|
|
[s7; &]
|
|
[s7; using namespace Upp;&]
|
|
[s7; &]
|
|
[s7; Image CreateBall(int r, Color color)&]
|
|
[s7; `{&]
|
|
[s7; -|int rr `= 2 `* r;&]
|
|
[s7; -|int r2 `= r `* r;&]
|
|
[s7; -|ImageBuffer b(rr, rr);&]
|
|
[s7; -|for(int y `= 0; y < rr; y`+`+)&]
|
|
[s7; -|-|for(int x `= 0; x < rr; x`+`+) `{&]
|
|
[s7; -|-|-|RGBA`& a `= b`[y`]`[x`];&]
|
|
[s7; -|-|-|a.r `= color.GetR();&]
|
|
[s7; -|-|-|a.g `= color.GetG();&]
|
|
[s7; -|-|-|a.b `= color.GetB();&]
|
|
[s7; -|-|-|int q `= ((x `- r) `* (x `- r) `+ (y `- r) `* (y `- r)) `*
|
|
256 / r2;&]
|
|
[s7; -|-|-|a.a `= q <`= 255 ? q : 0;&]
|
|
[s7; -|-|`}&]
|
|
[s7; -|Premultiply(b);&]
|
|
[s7; -|return b;&]
|
|
[s7; `}&]
|
|
[s7; &]
|
|
[s7; struct BallMaker : [* ImageMaker] `{&]
|
|
[s7; -|Color color;&]
|
|
[s7; -|int r;&]
|
|
[s7; -|&]
|
|
[s7; -|[* virtual String Key() const;]&]
|
|
[s7; [* -|virtual Image Make() const;]&]
|
|
[s7; `};&]
|
|
[s7; &]
|
|
[s7; String BallMaker`::Key() const&]
|
|
[s7; `{&]
|
|
[s7; -|char h`[sizeof(int) `+ 3`];&]
|
|
[s7; -|`*(int `*)h `= r;&]
|
|
[s7; -|h`[sizeof(int)`] `= color.GetR();&]
|
|
[s7; -|h`[sizeof(int) `+ 1`] `= color.GetG();&]
|
|
[s7; -|h`[sizeof(int) `+ 2`] `= color.GetB();&]
|
|
[s7; -|return String(h, sizeof(int) `+ 3);&]
|
|
[s7; `}&]
|
|
[s7; &]
|
|
[s7; Image BallMaker`::Make() const&]
|
|
[s7; `{&]
|
|
[s7; -|return CreateBall(r, color);&]
|
|
[s7; `}&]
|
|
[s7; &]
|
|
[s7; Image CreateBallCached(int r, Color color)&]
|
|
[s7; `{&]
|
|
[s7; -|BallMaker m;&]
|
|
[s7; -|m.r `= r;&]
|
|
[s7; -|m.color `= color;&]
|
|
[s7; -|return [* MakeImage](m);&]
|
|
[s7; `}&]
|
|
[s7; &]
|
|
[s7; struct MyApp : public TopWindow `{&]
|
|
[s7; -|bool cached;&]
|
|
[s7; &]
|
|
[s7; -|virtual void Paint(Draw`& w) `{&]
|
|
[s7; -|-|w.DrawRect(GetSize(), White);&]
|
|
[s7; -|-|for(int y `= 0; y < 300; y `+`= 30)&]
|
|
[s7; -|-|-|for(int i `= 10; i < 500; i `+`= i / 3) `{&]
|
|
[s7; -|-|-|-|Color c `= Color((200 `* i) `& 255, (150 `* i) `& 255, (300
|
|
`* i) `& 255);&]
|
|
[s7; -|-|-|-|w.DrawImage(i, y `+ i / 5,&]
|
|
[s7; -|-|-|-| (cached ? CreateBallCached : CreateBall)(i /
|
|
2, c));&]
|
|
[s7; -|-|-|`}&]
|
|
[s7; -|`}&]
|
|
[s7; &]
|
|
[s7; -|virtual void LeftDown(Point, dword) `{&]
|
|
[s7; -|-|cached `= true;&]
|
|
[s7; -|-|Title(`"Now cached `- try to resize the window to see the
|
|
speed`");&]
|
|
[s7; -|`}&]
|
|
[s7; &]
|
|
[s7; -|MyApp() `{&]
|
|
[s7; -|-|cached `= false;&]
|
|
[s7; -|-|Title(`"Not cached `- try to resize the window to see the
|
|
speed, `"&]
|
|
[s7; -|-| `"click to activate the cache`");&]
|
|
[s7; -|-|Sizeable().Zoomable();&]
|
|
[s7; -|`}&]
|
|
[s7; `};&]
|
|
[s7; &]
|
|
[s7; GUI`_APP`_MAIN&]
|
|
[s7; `{&]
|
|
[s7; -|MyApp().Run();&]
|
|
[s7; `}&]
|
|
[s5; &]
|
|
[s5; In this example, CreateBall routine creates the Image and takes
|
|
the time to do so. Anyway, in the Paint, the same resulting Image
|
|
is needed many times.&]
|
|
[s5; Therefore this situation is a good candidate for Image caching.
|
|
To cache the CreateBall results, you need to create a class derived
|
|
from [* ImageMaker]. [* Key] virtual method must generate unique
|
|
String based on required set of parameters, which should be contained
|
|
as class members. [* Make] method then creates actual Image based
|
|
on these parameters.&]
|
|
[s5; [* MakeImage ]function then scans the image cache for the image
|
|
based on Key result (it uses RTTI to tell apart various ImageMakers).
|
|
If the required image is not in the cache yet, it is created
|
|
using Make and cached.&]
|
|
[s5; The maximum cache size adjusts dynamically with platform specific
|
|
maximum (4MB for Win32).&]
|
|
[s5; &]
|
|
[s3; Recommended tutorials:&]
|
|
[s5; If you want to learn more, we have several tutorials that you
|
|
can find useful:&]
|
|
[s5;l160;i150;O0; [^topic`:`/`/Draw`/srcdoc`/DrawTutorial`$en`-us^ Draw
|
|
tutorial ]`- in this tutorial we show more advance techniques
|
|
of drawing inside window. This is the natural continue of things
|
|
mention on this page.]] |