mirror of
https://github.com/NVIDIA/cuda-samples.git
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92 lines
2.9 KiB
XML
92 lines
2.9 KiB
XML
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<?xml version="1.0" encoding="UTF-8"?>
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<!DOCTYPE entry SYSTEM "SamplesInfo.dtd">
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<entry>
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<name>imageDenoising</name>
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<description><![CDATA[This sample demonstrates two adaptive image denoising techniques: KNN and NLM, based on computation of both geometric and color distance between texels. While both techniques are implemented in the DirectX SDK using shaders, massively speeded up variation of the latter technique, taking advantage of shared memory, is implemented in addition to DirectX counterparts.]]></description>
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<devicecompilation>whole</devicecompilation>
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<files>
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<file>data\portrait_noise.bmp</file>
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<file>data\ref_passthru.ppm</file>
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<file>data\ref_knn.ppm</file>
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<file>data\ref_nlm.ppm</file>
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<file>data\ref_nlm2.ppm</file>
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</files>
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<includepaths>
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<path>./</path>
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<path>../</path>
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<path>../../Common</path>
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</includepaths>
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<keyconcepts>
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<concept level="advanced">Image Processing</concept>
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</keyconcepts>
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<keywords>
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<keyword>CUDA</keyword>
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<keyword>Image Processing</keyword>
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<keyword>noise reduction</keyword>
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<keyword>openGL</keyword>
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</keywords>
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<libraries>
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<library>GLU</library>
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<library>GL</library>
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<library framework="true" os="macosx">GLUT</library>
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<library os="linux">GLEW</library>
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<library os="linux">glut</library>
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<library os="linux">X11</library>
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</libraries>
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<librarypaths>
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<path arch="x86_64" os="linux">../../common/lib/linux/x86_64</path>
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<path arch="armv7l" os="linux">../../common/lib/linux/armv7l</path>
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<path os="macosx">../../common/lib/darwin</path>
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</librarypaths>
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<nsight_eclipse>true</nsight_eclipse>
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<primary_file>imageDenoising.cu</primary_file>
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<qatests>
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<qatest>-kernel=0 -file=ref_passthru.ppm</qatest>
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<qatest>-kernel=1 -file=ref_knn.ppm</qatest>
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<qatest>-kernel=2 -file=ref_nlm.ppm</qatest>
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<qatest>-kernel=3 -file=ref_nlm2.ppm</qatest>
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</qatests>
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<required_dependencies>
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<dependency>X11</dependency>
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<dependency>GL</dependency>
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</required_dependencies>
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<scopes>
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<scope>1:CUDA Advanced Topics</scope>
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<scope>2:Image Processing</scope>
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<scope>2:Computer Vision</scope>
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</scopes>
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<sm-arch>sm35</sm-arch>
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<sm-arch>sm37</sm-arch>
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<sm-arch>sm50</sm-arch>
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<sm-arch>sm52</sm-arch>
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<sm-arch>sm60</sm-arch>
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<sm-arch>sm61</sm-arch>
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<sm-arch>sm70</sm-arch>
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<sm-arch>sm72</sm-arch>
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<sm-arch>sm75</sm-arch>
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<sm-arch>sm80</sm-arch>
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<sm-arch>sm86</sm-arch>
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<supported_envs>
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<env>
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<arch>x86_64</arch>
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<platform>linux</platform>
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</env>
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<env>
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<platform>windows7</platform>
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</env>
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<env>
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<arch>x86_64</arch>
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<platform>macosx</platform>
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</env>
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<env>
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<arch>arm</arch>
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</env>
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</supported_envs>
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<supported_sm_architectures>
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<include>all</include>
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</supported_sm_architectures>
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<title>Image denoising</title>
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<type>exe</type>
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<whitepaper>doc\imageDenoising.pdf</whitepaper>
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</entry>
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