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add performance test for open cv

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to compare perspective transform with find homography
This commit is contained in:
Paul Zabelin
2018-03-04 01:33:35 -08:00
parent 7a1ea1566e
commit c6ea874b1d
2 changed files with 43 additions and 16 deletions
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39
Example/OpenCV-OSX-Tests/OpenCVPerformanceTest.swift
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@@ -10,28 +10,35 @@ import XCTest
class OpenCVPerformanceTest: XCTestCase {
static let reasonableTestDurationMs = 100
var repeatTimes = OpenCVPerformanceTest.reasonableTestDurationMs * 1000
let repeatTimes = {OpenCVPerformanceTest.reasonableTestDurationMs * 1000}()
func testPerformance() {
let destination = Quadrilateral(upperLeft: CGPoint(x: 108.315837, y: 80.1687782),
upperRight: CGPoint(x: 377.282671, y: 41.4352201),
lowerRight: CGPoint(x: 193.321418, y: 330.023027),
lowerLeft: CGPoint(x: 459.781253, y: 251.836131))
var start = Quadrilateral()
let destination = Quadrilateral(upperLeft: CGPoint(x: 108.315837, y: 80.1687782),
upperRight: CGPoint(x: 377.282671, y: 41.4352201),
lowerRight: CGPoint(x: 193.321418, y: 330.023027),
lowerLeft: CGPoint(x: 459.781253, y: 251.836131))
let start: Quadrilateral = {
var one = Quadrilateral()
let overlayFrame = CGRect(x: 0, y: 0, width: 1, height: 1)
start.upperLeft = CGPoint(x: overlayFrame.minX, y: overlayFrame.minY)
start.upperRight = CGPoint(x: overlayFrame.maxX, y: overlayFrame.minY)
start.lowerLeft = CGPoint(x: overlayFrame.minX, y: overlayFrame.maxY)
start.lowerRight = CGPoint(x: overlayFrame.maxX, y: overlayFrame.maxY)
let openCVtimesSlower = 20
self.repeatTimes /= openCVtimesSlower
one.upperLeft = CGPoint(x: overlayFrame.minX, y: overlayFrame.minY)
one.upperRight = CGPoint(x: overlayFrame.maxX, y: overlayFrame.minY)
one.lowerLeft = CGPoint(x: overlayFrame.minX, y: overlayFrame.maxY)
one.lowerRight = CGPoint(x: overlayFrame.maxX, y: overlayFrame.maxY)
return one
}()
func testPerspectiveTransformPerformance() {
measure {
self.repeatTimes.times {
(self.repeatTimes/15).times {
_ = OpenCVWrapper.perspectiveTransform(start, to: destination)
}
}
}
func testFindHomographyPerformance() {
measure {
(self.repeatTimes/20).times {
_ = OpenCVWrapper.findHomography(from: start, to: destination)
}
}
}
}