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tech.opencv

acceptable-image-params?clj

(acceptable-image-params? datatype shape)
source

channels-datatype->opencv-typeclj

(channels-datatype->opencv-type n-channels datatype)

Map from n-channels and datatype -> opencv type

Map from n-channels and datatype -> opencv type
sourceraw docstring

channels-datatype->opencv-type-mapclj

source

cloneclj

(clone src-img)
source

loadclj

(load path)

Note you can call tech.v2.datatype/shape and tech.v2.datatype/get-datatype to figure out what was loaded.

Note you can call tech.v2.datatype/shape and tech.v2.datatype/get-datatype
to figure out what was loaded.
sourceraw docstring

new-matclj

(new-mat height width n-channels & {:keys [dtype] :or {dtype :uint8}})
source

opencv-type->channels-datatypeclj

(opencv-type->channels-datatype opencv-type)

Given an opencv type map to {:n-channels num-channels :datatype datatype}

Given an opencv type map to
{:n-channels num-channels
:datatype datatype}
sourceraw docstring

opencv-type->channels-datatype-mapclj

source

resizeclj

(resize src-img new-width)
(resize src-img new-width new-height)
(resize src-img new-width new-height {:keys [resize-algorithm] :as options})

Resize the source image producing a new image.

Resize the source image producing a new image.
sourceraw docstring

resize-algo-kwd->opencvclj

(resize-algo-kwd->opencv resize-algo)
source

resize-algo-kwd->opencv-mapclj

source

resize-imgprocclj

(resize-imgproc src-img dest-img resize-algorithm-kwd)

Use improc resize method directly.

Use improc resize method directly.
sourceraw docstring

saveclj

(save img path)
source

sizeclj

(size width height)
source

thrownilcljmacro

(thrownil x message map)
source

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