mirror of https://bitbucket.org/ausocean/av.git
Circle-CV ignores gocv/OpenCV for testing.
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@ -23,9 +23,9 @@ jobs:
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- run: go get -d -t -v ./...
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- run: go build -v ./...
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- run: go build -v -tags circleci ./...
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- run: go test -v ./...
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- run: go test -v -tags circleci ./...
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- save_cache:
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key: v1-pkg-cache
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@ -1,3 +1,5 @@
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// +build !circleci
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// What it does:
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//
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// This example detects motion using a delta threshold from the first frame,
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@ -0,0 +1,37 @@
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// +build circleci
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/*
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DESCRIPTION
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Replaces filters that use the gocv package when Circle-CI builds revid. This
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is needed because Circle-CI does not have a copy of Open CV installed.
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AUTHORS
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Scott Barnard <scott@ausocean.org>
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LICENSE
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filters_circleci.go is Copyright (C) 2019 the Australian Ocean Lab (AusOcean)
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It is free software: you can redistribute it and/or modify them
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under the terms of the GNU General Public License as published by the
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Free Software Foundation, either version 3 of the License, or (at your
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option) any later version.
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It is distributed in the hope that it will be useful, but WITHOUT
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ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
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FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
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for more details.
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You should have received a copy of the GNU General Public License
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in gpl.txt. If not, see http://www.gnu.org/licenses.
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*/
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package filter
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import (
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"io"
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)
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// NewMOGFilter returns a pointer to a new NoOp struct for testing purposes only.
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func NewMOGFilter(dst io.WriteCloser, area, threshold float64, history, kernelSize int, debug bool) *NoOp {
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return &NoOp{dst: dst}
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}
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@ -1,3 +1,5 @@
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// +build !circleci
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/*
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DESCRIPTION
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A filter that detects motion and discards frames without motion. The
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@ -45,7 +47,7 @@ type MOGFilter struct {
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windows []*gocv.Window
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}
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// NewMOGFilter returns a pointer to a new MOGFilter.
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// NewMOGFilter returns a pointer to a new MOGFilter struct.
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func NewMOGFilter(dst io.WriteCloser, area, threshold float64, history, kernelSize int, debug bool) *MOGFilter {
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bs := gocv.NewBackgroundSubtractorMOG2WithParams(history, threshold, false)
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k := gocv.GetStructuringElement(gocv.MorphRect, image.Pt(kernelSize, kernelSize))
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