Merge pull request #25268 from gursimarsingh:samples_cleanup_python

Removed obsolete python samples #25268

Clean Samples #25006 
This PR removes 36 obsolete python samples from the project, as part of an effort to keep the codebase clean and focused on current best practices. Some of these samples will be updated with latest algorithms or will be combined with other existing samples. 

Removed Samples:

> browse.py
camshift.py
coherence.py
color_histogram.py
contours.py
deconvolution.py
dft.py
dis_opt_flow.py
distrans.py
edge.py
feature_homography.py
find_obj.py
fitline.py
gabor_threads.py
hist.py
houghcircles.py
houghlines.py
inpaint.py
kalman.py
kmeans.py
laplace.py
lk_homography.py
lk_track.py
logpolar.py
mosse.py
mser.py
opt_flow.py
plane_ar.py
squares.py
stitching.py
text_skewness_correction.py
texture_flow.py
turing.py
video_threaded.py
video_v4l2.py
watershed.py

These changes aim to improve the repository's clarity and usability by removing examples that are no longer relevant or have been superseded by more up-to-date techniques.

samples/python/snippets/distrans.py

@@ -0,0 +1,78 @@
+#!/usr/bin/env python
+
+'''
+Distance transform sample.
+
+Usage:
+  distrans.py [<image>]
+
+Keys:
+  ESC   - exit
+  v     - toggle voronoi mode
+'''
+
+# Python 2/3 compatibility
+from __future__ import print_function
+
+import numpy as np
+import cv2 as cv
+
+from common import make_cmap
+
+def main():
+    import sys
+    try:
+        fn = sys.argv[1]
+    except:
+        fn = 'fruits.jpg'
+
+    fn = cv.samples.findFile(fn)
+    img = cv.imread(fn, cv.IMREAD_GRAYSCALE)
+    if img is None:
+        print('Failed to load fn:', fn)
+        sys.exit(1)
+
+    cm = make_cmap('jet')
+    need_update = True
+    voronoi = False
+
+    def update(dummy=None):
+        global need_update
+        need_update = False
+        thrs = cv.getTrackbarPos('threshold', 'distrans')
+        mark = cv.Canny(img, thrs, 3*thrs)
+        dist, labels = cv.distanceTransformWithLabels(~mark, cv.DIST_L2, 5)
+        if voronoi:
+            vis = cm[np.uint8(labels)]
+        else:
+            vis = cm[np.uint8(dist*2)]
+        vis[mark != 0] = 255
+        cv.imshow('distrans', vis)
+
+    def invalidate(dummy=None):
+        global need_update
+        need_update = True
+
+    cv.namedWindow('distrans')
+    cv.createTrackbar('threshold', 'distrans', 60, 255, invalidate)
+    update()
+
+
+    while True:
+        ch = cv.waitKey(50)
+        if ch == 27:
+            break
+        if ch == ord('v'):
+            voronoi = not voronoi
+            print('showing', ['distance', 'voronoi'][voronoi])
+            update()
+        if need_update:
+            update()
+
+    print('Done')
+
+
+if __name__ == '__main__':
+    print(__doc__)
+    main()
+    cv.destroyAllWindows()