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@@ -74,19 +74,31 @@ config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_DATASETS
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config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_DNN_OBJDETECT
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bool "dnn_objdetect"
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+ depends on BR2_PACKAGE_PROTOBUF_ARCH_SUPPORTS # opencv4 dnn
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+ depends on !BR2_TOOLCHAIN_USES_UCLIBC # opencv4 dnn
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select BR2_PACKAGE_OPENCV4_LIB_DNN
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help
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Object Detection using CNNs -- Implements compact CNN Model
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for object detection. Trained using Caffe but uses
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opencv_dnn module.
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+comment "dnn_objdetect needs a glibc or musl toolchain"
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+ depends on BR2_PACKAGE_PROTOBUF_ARCH_SUPPORTS
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+ depends on !BR2_TOOLCHAIN_USES_UCLIBC
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+
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config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_DNN_SUPERRES
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bool "dnn_superres"
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+ depends on BR2_PACKAGE_PROTOBUF_ARCH_SUPPORTS # opencv4 dnn
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+ depends on !BR2_TOOLCHAIN_USES_UCLIBC # opencv4 dnn
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select BR2_PACKAGE_OPENCV4_LIB_DNN
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help
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Superresolution using CNNs -- Contains four trained
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convolutional neural networks to upscale images.
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+comment "dnn_superres needs a glibc or musl toolchain"
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+ depends on BR2_PACKAGE_PROTOBUF_ARCH_SUPPORTS
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+ depends on !BR2_TOOLCHAIN_USES_UCLIBC
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+
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config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_DNNS_EASILY_FOOLED
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bool "dnns_easily_fooled"
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help
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