Computation times#
01:41.444 total execution time for 32 files from auto_examples/segmentation:
Example |
Time |
Mem (MB) |
---|---|---|
Use rolling-ball algorithm for estimating background intensity ( |
00:49.694 |
0.0 |
Measure perimeters with different estimators ( |
00:20.230 |
0.0 |
Chan-Vese Segmentation ( |
00:04.178 |
0.0 |
Morphological Snakes ( |
00:04.018 |
0.0 |
Markers for watershed transform ( |
00:03.348 |
0.0 |
Trainable segmentation using local features and random forests ( |
00:02.705 |
0.0 |
Flood Fill ( |
00:02.272 |
0.0 |
Explore and visualize region properties with pandas ( |
00:01.814 |
0.0 |
Find the intersection of two segmentations ( |
00:01.527 |
0.0 |
Normalized Cut ( |
00:01.477 |
0.0 |
Evaluating segmentation metrics ( |
00:01.347 |
0.0 |
RAG Thresholding ( |
00:01.267 |
0.0 |
Drawing Region Adjacency Graphs (RAGs) ( |
00:01.151 |
0.0 |
RAG Merging ( |
00:00.981 |
0.0 |
Comparison of segmentation and superpixel algorithms ( |
00:00.921 |
0.0 |
Apply maskSLIC vs SLIC ( |
00:00.907 |
0.0 |
Hierarchical Merging of Region Boundary RAGs ( |
00:00.625 |
0.0 |
Measure region properties ( |
00:00.523 |
0.0 |
Region Boundary based RAGs ( |
00:00.473 |
0.0 |
Thresholding ( |
00:00.421 |
0.0 |
Euler number ( |
00:00.259 |
0.0 |
Expand segmentation labels without overlap ( |
00:00.182 |
0.0 |
Find Regular Segments Using Compact Watershed ( |
00:00.176 |
0.0 |
Multi-Otsu Thresholding ( |
00:00.167 |
0.0 |
Label image regions ( |
00:00.162 |
0.0 |
Random walker segmentation ( |
00:00.120 |
0.0 |
Region Adjacency Graphs ( |
00:00.111 |
0.0 |
Finding local maxima ( |
00:00.095 |
0.0 |
Extrema ( |
00:00.095 |
0.0 |
Niblack and Sauvola Thresholding ( |
00:00.085 |
0.0 |
Watershed segmentation ( |
00:00.068 |
0.0 |
Hausdorff Distance ( |
00:00.043 |
0.0 |