vendor: OpenCV 5.0.0 snapshot at 755e50675d97db9b7d449d8bd6b09888646f6c6e

2026-08-22 00:11:13 +08:00
commit 12022378a3
3872 changed files with 2513409 additions and 0 deletions
@@ -0,0 +1,5 @@
+{
+    "AdditionalImports" : {
+        "*" : [ "\"structured_light.hpp\"" ]
+    }
+}
@@ -0,0 +1,94 @@
+#!/usr/bin/env python
+
+# Python 2/3 compatibility
+from __future__ import print_function
+
+import os, numpy
+
+import cv2 as cv
+
+from tests_common import NewOpenCVTests
+
+class structured_light_test(NewOpenCVTests):
+
+    def test_unwrap(self):
+        paramsPsp = cv.structured_light_SinusoidalPattern_Params();
+        paramsFtp = cv.structured_light_SinusoidalPattern_Params();
+        paramsFaps = cv.structured_light_SinusoidalPattern_Params();
+        paramsPsp.methodId = cv.structured_light.PSP;
+        paramsFtp.methodId = cv.structured_light.FTP;
+        paramsFaps.methodId = cv.structured_light.FAPS;
+
+        sinusPsp = cv.structured_light.SinusoidalPattern_create(paramsPsp)
+        sinusFtp = cv.structured_light.SinusoidalPattern_create(paramsFtp)
+        sinusFaps = cv.structured_light.SinusoidalPattern_create(paramsFaps)
+
+        captures = []
+        for i in range(0,3):
+            capture = self.get_sample('/cv/structured_light/data/capture_sin_%d.jpg'%i, cv.IMREAD_GRAYSCALE)
+            if capture is None:
+                raise unittest.SkipTest("Missing files with test data")
+            captures.append(capture)
+
+        rows,cols = captures[0].shape
+
+        unwrappedPhaseMapPspRef = self.get_sample('/cv/structured_light/data/unwrappedPspTest.jpg',
+                                                  cv.IMREAD_GRAYSCALE)
+        unwrappedPhaseMapFtpRef = self.get_sample('/cv/structured_light/data/unwrappedFtpTest.jpg',
+                                                  cv.IMREAD_GRAYSCALE)
+        unwrappedPhaseMapFapsRef = self.get_sample('/cv/structured_light/data/unwrappedFapsTest.jpg',
+                                                  cv.IMREAD_GRAYSCALE)
+
+        wrappedPhaseMap,shadowMask = sinusPsp.computePhaseMap(captures);
+        unwrappedPhaseMap = sinusPsp.unwrapPhaseMap(wrappedPhaseMap, (cols, rows), shadowMask=shadowMask)
+        unwrappedPhaseMap8 = unwrappedPhaseMap*1 + 128
+        unwrappedPhaseMap8 = numpy.uint8(unwrappedPhaseMap8)
+
+        sumOfDiff = 0
+        count = 0
+        for i in range(rows):
+            for j in range(cols):
+                ref = int(unwrappedPhaseMapPspRef[i, j])
+                comp = int(unwrappedPhaseMap8[i, j])
+                sumOfDiff += (ref - comp)
+                count += 1
+
+        ratio = sumOfDiff/float(count)
+        self.assertLessEqual(ratio, 0.2)
+
+        wrappedPhaseMap,shadowMask = sinusFtp.computePhaseMap(captures);
+        unwrappedPhaseMap = sinusFtp.unwrapPhaseMap(wrappedPhaseMap, (cols, rows), shadowMask=shadowMask)
+        unwrappedPhaseMap8 = unwrappedPhaseMap*1 + 128
+        unwrappedPhaseMap8 = numpy.uint8(unwrappedPhaseMap8)
+
+        sumOfDiff = 0
+        count = 0
+        for i in range(rows):
+            for j in range(cols):
+                ref = int(unwrappedPhaseMapFtpRef[i, j])
+                comp = int(unwrappedPhaseMap8[i, j])
+                sumOfDiff += (ref - comp)
+                count += 1
+
+        ratio = sumOfDiff/float(count)
+        self.assertLessEqual(ratio, 0.2)
+
+        wrappedPhaseMap,shadowMask2 = sinusFaps.computePhaseMap(captures);
+        unwrappedPhaseMap = sinusFaps.unwrapPhaseMap(wrappedPhaseMap, (cols, rows), shadowMask=shadowMask)
+        unwrappedPhaseMap8 = unwrappedPhaseMap*1 + 128
+        unwrappedPhaseMap8 = numpy.uint8(unwrappedPhaseMap8)
+
+        sumOfDiff = 0
+        count = 0
+        for i in range(rows):
+            for j in range(cols):
+                ref = int(unwrappedPhaseMapFapsRef[i, j])
+                comp = int(unwrappedPhaseMap8[i, j])
+                sumOfDiff += (ref - comp)
+                count += 1
+
+        ratio = sumOfDiff/float(count)
+        self.assertLessEqual(ratio, 0.2)
+
+if __name__ == '__main__':
+    NewOpenCVTests.bootstrap()