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Mostra os tipos de configuração para o método cv::Mat cv::imread(const cv::String &filename, int flags = 1).

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upuaut-wq/1-opencv_imread_type_gtkmm3.0-test

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App Exemplo

Observações : Este programa foi feito com objetivo de teste.

  • Foto utilizada - https://uploads.metropoles.com/wp-content/uploads/2017/03/10132333/negras-03.jpg

  • Documento de referência utilizado - https://docs.opencv.org/3.4/d8/d6a/group__imgcodecs__flags.html#gga61d9b0126a3e57d9277ac48327799c80af660544735200cbe942eea09232eb822

    • IMREAD_UNCHANGED = -1, //!< If set, return the loaded image as is (with alpha channel, otherwise it gets cropped).

    • IMREAD_GRAYSCALE = 0, //!< If set, always convert image to the single channel grayscale image.

    • IMREAD_COLOR = 1, //!< If set, always convert image to the 3 channel BGR color image.

    • IMREAD_ANYDEPTH = 2, //!< If set, return 16-bit/32-bit image when the input has the corresponding depth, otherwise convert it to 8-bit.

    • IMREAD_ANYCOLOR = 4, //!< If set, the image is read in any possible color format.

    • IMREAD_LOAD_GDAL = 8, //!< If set, use the gdal driver for loading the image.

    • IMREAD_REDUCED_GRAYSCALE_2 = 16, //!< If set, always convert image to the single channel grayscale image and the image size reduced 1/2.

    • IMREAD_REDUCED_COLOR_2 = 17, //!< If set, always convert image to the 3 channel BGR color image and the image size reduced 1/2.

    • IMREAD_REDUCED_GRAYSCALE_4 = 32, //!< If set, always convert image to the single channel grayscale image and the image size reduced 1/4.

    • IMREAD_REDUCED_COLOR_4 = 33, //!< If set, always convert image to the 3 channel BGR color image and the image size reduced 1/4.

    • IMREAD_REDUCED_GRAYSCALE_8 = 64, //!< If set, always convert image to the single channel grayscale image and the image size reduced 1/8.

    • IMREAD_REDUCED_COLOR_8 = 65, //!< If set, always convert image to the 3 channel BGR color image and the image size reduced 1/8.

    • IMREAD_IGNORE_ORIENTATION = 128

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Mostra os tipos de configuração para o método cv::Mat cv::imread(const cv::String &filename, int flags = 1).

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