 | 1 | initial version |
I have some contours which represent certain objects found with cv2.findContours() in a segmentation result. On the other hand, I also have the ground truth data in the same format (polygon points in [x, y]). I'm now looking for the best way to measure the intersection/overlap of both polygons to measure how well the segmentation performed.
Thank you in advance!
I have some contours which represent certain objects found with cv2.findContours() in a segmentation result. On the other hand, I also have the ground truth data in the same format (polygon points in [x, y]). I'm now looking for the best way to measure the intersection/overlap of both polygons to measure how well the segmentation performed.
Thank you in advance!
-- Update --
To add in some context, here's for example the data from one contour found with cv2.findContours():
[[[1086 603]],[[1085 605]],[[1078 605]],[[1076 606]],[[1073 606]],[[1071 608]],[[1068 608]],[[1066 610]],[[1065 610]],[[1061 6,3]],[[1060 613]],[[1060 615]],[[1058 616]],[[1058 625]],[[1060 626]],[[1060 636]],[[1061 638]],[[1061 650]],[[1063 651]],[[1063 658]],[[1061 660]],[[1063 661]],[[1063 671]],[[1065 673]],[[1065 676]],[[1066 678]],[[1066 681]],[[1068 683]],[[1068 701]],[[1070 703]],[[1070 713]],[[1075 718]],[[1078 718]],[[1080 720]],[[1101 720]],[[1103 718]],[[1106 718]],[[1110 715]],[[1111 715]],[[1115 711]],[[1116 711]],[[1118 710]],[[1118 708]],[[1120 706]],[[1120 703]],[[1121 701]],[[1121 683]],[[1123 681]],[[1123 670]],[[1121 668]],[[1121 615]],[[1120 613]],[[1120 611]],[[1118 610]],[[1113 610]],[[1111 608]],[[1108 608]],[[1106 606]],[[1103 606]],[[1101 605]],[[1088 605]]]
And this is the ground truth data:
[[1054, 625], [1070, 719], [1084, 726], [1112, 724], [1125, 716], [1126, 631], [1128, 619], [1132, 610], [1127, 603], [1118, 602], [1107, 600], [1090, 600], [1074, 603], [1059, 607], [1049, 614], [1051, 620]]
I have some contours which represent certain objects found with cv2.findContours() in a segmentation result. On the other hand, I also have the ground truth data in the same format (polygon points in [x, y]). I'm now looking for the best way to measure the intersection/overlap of both polygons to measure how well the segmentation performed.
Thank you in advance!
-- Update --
To add in some context, here's for example the data from one contour found with cv2.findContours():
[[[1086 603]],[[1085 605]],[[1078 605]],[[1076 606]],[[1073 606]],[[1071 608]],[[1068 608]],[[1066 610]],[[1065 610]],[[1061 6,3]],[[1060 613]],[[1060 615]],[[1058 616]],[[1058 625]],[[1060 626]],[[1060 636]],[[1061 638]],[[1061 650]],[[1063 651]],[[1063 658]],[[1061 660]],[[1063 661]],[[1063 671]],[[1065 673]],[[1065 676]],[[1066 678]],[[1066 681]],[[1068 683]],[[1068 701]],[[1070 703]],[[1070 713]],[[1075 718]],[[1078 718]],[[1080 720]],[[1101 720]],[[1103 718]],[[1106 718]],[[1110 715]],[[1111 715]],[[1115 711]],[[1116 711]],[[1118 710]],[[1118 708]],[[1120 706]],[[1120 703]],[[1121 701]],[[1121 683]],[[1123 681]],[[1123 670]],[[1121 668]],[[1121 615]],[[1120 613]],[[1120 611]],[[1118 610]],[[1113 610]],[[1111 608]],[[1108 608]],[[1106 606]],[[1103 606]],[[1101 605]],[[1088 605]]]
And this is the ground truth data:
[[1054, 625], [1070, 719], [1084, 726], [1112, 724], [1125, 716], [1126, 631], [1128, 619], [1132, 610], [1127, 603], [1118, 602], [1107, 600], [1090, 600], [1074, 603], [1059, 607], [1049, 614], [1051, 620]]
(Ignore the extra array, this is just to give an example)
I have some contours which represent certain objects found with cv2.findContours() in a segmentation result. On the other hand, I also have the ground truth data in the same format (polygon points in [x, y]). I'm now looking for the best way to measure the intersection/overlap of both polygons to measure how well the segmentation performed.
Thank you in advance!
-- Update --
To add in some context, here's for example the data from one contour found with cv2.findContours():
[[[1086 603]],[[1085 605]],[[1078 605]],[[1076 606]],[[1073 606]],[[1071 608]],[[1068 608]],[[1066 610]],[[1065 610]],[[1061 6,3]],[[1060 613]],[[1060 615]],[[1058 616]],[[1058 625]],[[1060 626]],[[1060 636]],[[1061 638]],[[1061 650]],[[1063 651]],[[1063 658]],[[1061 660]],[[1063 661]],[[1063 671]],[[1065 673]],[[1065 676]],[[1066 678]],[[1066 681]],[[1068 683]],[[1068 701]],[[1070 703]],[[1070 713]],[[1075 718]],[[1078 718]],[[1080 720]],[[1101 720]],[[1103 718]],[[1106 718]],[[1110 715]],[[1111 715]],[[1115 711]],[[1116 711]],[[1118 710]],[[1118 708]],[[1120 706]],[[1120 703]],[[1121 701]],[[1121 683]],[[1123 681]],[[1123 670]],[[1121 668]],[[1121 615]],[[1120 613]],[[1120 611]],[[1118 610]],[[1113 610]],[[1111 608]],[[1108 608]],[[1106 606]],[[1103 606]],[[1101 605]],[[1088 605]]]
And this is the ground truth data:
[[1054, 625], [1070, 719], [1084, 726], [1112, 724], [1125, 716], [1126, 631], [1128, 619], [1132, 610], [1127, 603], [1118, 602], [1107, 600], [1090, 600], [1074, 603], [1059, 607], [1049, 614], [1051, 620]]
(Ignore the extra array, mismatch of arrays between the contours data and ground truth, this is just to give an example)example.)