tech.opencv — techascent/tech.opencv 4.0-alpha41

acceptable-image-params? clj

(acceptable-image-params? datatype shape)

channels-datatype->opencv-type clj

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

Map from n-channels and datatype -> opencv type

channels-datatype->opencv-type-map clj

clone clj

(clone src-img)

load clj

(load path)

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

new-mat clj

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

opencv-type->channels-datatype clj

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

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

opencv-type->channels-datatype-map clj

resize clj

(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-algo-kwd->opencv clj

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

resize-algo-kwd->opencv-map clj

resize-imgproc clj

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

Use improc resize method directly.

save clj

(save img path)

size clj

(size width height)

thrownil clj macro

(thrownil x message map)