Mask.type() == Cv_8U at Sherry Debra blog

Mask.type() == Cv_8U. Cv_8u mask is treated as binary, but in case of a cv_32f mask, the. However, when running this code, i get error: Your mask is image with 3 channels, but it should has only one channel. For instance, if img is an opencv image and i want to make it of “cv_8uc1” type, i would just type: If the data type is cv_8u, the mask is interpreted as a binary mask, meaning only elements where mask is nonzero are used and are kept unchanged independent of the actual. The cv_8u and cv_32f masks seem to be treated differently. Size of the distance transform mask, see distancetransformmasks. In most (i hope, all) opencv functions mask can currently have cv_8u or sometimes cv_8s type; In case of the dist_l1 or dist_c distance type, the parameter is forced to 3 because a.

C++ OpenCV assertation failed ((img.depth() == CV_8U img.depth() == CV_32F) && img.type
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However, when running this code, i get error: If the data type is cv_8u, the mask is interpreted as a binary mask, meaning only elements where mask is nonzero are used and are kept unchanged independent of the actual. The cv_8u and cv_32f masks seem to be treated differently. In case of the dist_l1 or dist_c distance type, the parameter is forced to 3 because a. For instance, if img is an opencv image and i want to make it of “cv_8uc1” type, i would just type: Your mask is image with 3 channels, but it should has only one channel. Cv_8u mask is treated as binary, but in case of a cv_32f mask, the. In most (i hope, all) opencv functions mask can currently have cv_8u or sometimes cv_8s type; Size of the distance transform mask, see distancetransformmasks.

C++ OpenCV assertation failed ((img.depth() == CV_8U img.depth() == CV_32F) && img.type

Mask.type() == Cv_8U Your mask is image with 3 channels, but it should has only one channel. For instance, if img is an opencv image and i want to make it of “cv_8uc1” type, i would just type: In case of the dist_l1 or dist_c distance type, the parameter is forced to 3 because a. Your mask is image with 3 channels, but it should has only one channel. Size of the distance transform mask, see distancetransformmasks. The cv_8u and cv_32f masks seem to be treated differently. Cv_8u mask is treated as binary, but in case of a cv_32f mask, the. However, when running this code, i get error: If the data type is cv_8u, the mask is interpreted as a binary mask, meaning only elements where mask is nonzero are used and are kept unchanged independent of the actual. In most (i hope, all) opencv functions mask can currently have cv_8u or sometimes cv_8s type;

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