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
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+import numpy as np
+import cv2 as cv
+
+left_img = cv.imread(cv.samples.findFile("aloeL.jpg"), cv.IMREAD_COLOR)
+right_img = cv.imread(cv.samples.findFile("aloeR.jpg"), cv.IMREAD_COLOR)
+
+frame_size = left_img.shape[0:2];
+
+stereo = cv.stereo.QuasiDenseStereo_create(frame_size[::-1])
+stereo.process(left_img, right_img)
+disp = stereo.getDisparity()
+cv.imshow("disparity", disp)
+cv.waitKey()
+dense_matches = stereo.getDenseMatches()
+try:
+    with open("dense.txt", "wt") as f:
+        # if you want all matches use for idx in len(dense_matches): It can be a big file
+        for idx in range(0, min(10, len(dense_matches))):
+            nb = f.write(str(dense_matches[idx].p0) + "\t" + str(dense_matches[idx].p1) + "\t" + str(dense_matches[idx].corr) + "\n")
+except:
+    print("Cannot open file")