Thanks!
The image is created as Grayscale as follows:
Mat red (resized.rows, resized.cols, CV_8UC1);
Also converted all labels to be contiguous 0, 1, 2, 3, and 4:
P1020007.png, 0: 448962, 1: 21025, 2: 496, 3: 3059, 4: 58, BAD: 0
P1020008.png, 0: 448504, 1: 21388, 2: 654, 3: 2952, 4: 102, BAD: 0
P1020009.png, 0: 439044, 1: 30354, 2: 845, 3: 3234, 4: 123, BAD: 0
P1020010.png, 0: 439767, 1: 28556, 2: 608, 3: 4576, 4: 93, BAD: 0
P1020011.png, 0: 452752, 1: 17341, 2: 447, 3: 2951, 4: 109, BAD: 0
P1020012.png, 0: 452612, 1: 17946, 2: 537, 3: 2417, 4: 88, BAD: 0
P1020013.png, 0: 457016, 1: 13876, 2: 329, 3: 2317, 4: 62, BAD: 0
P1020014.png, 0: 456702, 1: 13838, 2: 483, 3: 2539, 4: 38, BAD: 0
P1020015.png, 0: 461810, 1: 9648, 2: 297, 3: 1797, 4: 48, BAD: 0
P1020016.png, 0: 457818, 1: 13526, 2: 409, 3: 1790, 4: 57, BAD: 0
P1020017.png, 0: 443266, 1: 25413, 2: 687, 3: 4163, 4: 71, BAD: 0
P1020018.png, 0: 444648, 1: 24016, 2: 575, 3: 4292, 4: 69, BAD: 0
P1020019.png, 0: 453011, 1: 17776, 2: 0, 3: 2759, 4: 54, BAD: 0
P1020020.png, 0: 455757, 1: 15088, 2: 0, 3: 2681, 4: 74, BAD: 0
P1020021.png, 0: 463272, 1: 8716, 2: 0, 3: 1580, 4: 32, BAD: 0
P1020022.png, 0: 460001, 1: 11711, 2: 127, 3: 1740, 4: 21, BAD: 0
P1020023.png, 0: 458486, 1: 11810, 2: 515, 3: 2730, 4: 59, BAD: 0
P1020024.png, 0: 463211, 1: 7981, 2: 420, 3: 1949, 4: 39, BAD: 0
P1020025.png, 0: 450812, 1: 19266, 2: 494, 3: 2949, 4: 79, BAD: 0
P1020026.png, 0: 443934, 1: 26056, 2: 513, 3: 3055, 4: 42, BAD: 0
P1020027.png, 0: 447317, 1: 20554, 2: 246, 3: 5308, 4: 175, BAD: 0
P1020028.png, 0: 452602, 1: 15976, 2: 819, 3: 4047, 4: 156, BAD: 0
P1020029.png, 0: 458531, 1: 10047, 2: 531, 3: 4417, 4: 74, BAD: 0
P1020030.png, 0: 458589, 1: 10126, 2: 298, 3: 4478, 4: 109, BAD: 0
P1020031.png, 0: 462452, 1: 8832, 2: 289, 3: 1965, 4: 62, BAD: 0
P1020032.png, 0: 457226, 1: 13178, 2: 680, 3: 2456, 4: 60, BAD: 0
P1020033.png, 0: 459907, 1: 10693, 2: 357, 3: 2589, 4: 54, BAD: 0
P1020034.png, 0: 458065, 1: 12243, 2: 510, 3: 2727, 4: 55, BAD: 0
P1020035.png, 0: 457595, 1: 12297, 2: 270, 3: 3394, 4: 44, BAD: 0
P1020036.png, 0: 458862, 1: 10877, 2: 265, 3: 3533, 4: 63, BAD: 0
P1020037.png, 0: 465058, 1: 6407, 2: 242, 3: 1789, 4: 104, BAD: 0
P1020038.png, 0: 465046, 1: 6464, 2: 497, 3: 1521, 4: 72, BAD: 0
P1020039.png, 0: 456134, 1: 13809, 2: 218, 3: 3355, 4: 84, BAD: 0
P1020040.png, 0: 451252, 1: 18191, 2: 515, 3: 3540, 4: 102, BAD: 0
P1020041.png, 0: 460170, 1: 11775, 2: 505, 3: 1100, 4: 50, BAD: 0
P1020042.png, 0: 463283, 1: 9159, 2: 24, 3: 1094, 4: 40, BAD: 0
P1020043.png, 0: 449870, 1: 20105, 2: 530, 3: 3035, 4: 60, BAD: 0
P1020044.png, 0: 444420, 1: 25455, 2: 604, 3: 3019, 4: 102, BAD: 0
P1020045.png, 0: 422175, 1: 46492, 2: 1131, 3: 3556, 4: 246, BAD: 0
P1020046.png, 0: 413711, 1: 52179, 2: 2345, 3: 5136, 4: 229, BAD: 0
P1020047.png, 0: 462088, 1: 10144, 2: 469, 3: 853, 4: 46, BAD: 0
P1020048.png, 0: 462609, 1: 10017, 2: 222, 3: 694, 4: 58, BAD: 0
P1020049.png, 0: 464067, 1: 6465, 2: 161, 3: 2853, 4: 54, BAD: 0
P1020050.png, 0: 466113, 1: 4973, 2: 142, 3: 2320, 4: 52, BAD: 0
P1020051.png, 0: 467099, 1: 5262, 2: 79, 3: 1131, 4: 29, BAD: 0
P1020052.png, 0: 466447, 1: 5854, 2: 55, 3: 1220, 4: 24, BAD: 0
P1020053.png, 0: 458785, 1: 12741, 2: 490, 3: 1532, 4: 52, BAD: 0
P1020054.png, 0: 449266, 1: 21846, 2: 704, 3: 1692, 4: 92, BAD: 0
P1020055.png, 0: 461822, 1: 8958, 2: 457, 3: 2313, 4: 50, BAD: 0
P1020056.png, 0: 461882, 1: 9371, 2: 300, 3: 1992, 4: 55, BAD: 0
P1020057.png, 0: 456263, 1: 14286, 2: 619, 3: 2346, 4: 86, BAD: 0
P1020058.png, 0: 451747, 1: 18317, 2: 561, 3: 2868, 4: 107, BAD: 0
P1020059.png, 0: 464750, 1: 7897, 2: 255, 3: 660, 4: 38, BAD: 0
P1020060.png, 0: 460274, 1: 12100, 2: 330, 3: 860, 4: 36, BAD: 0
P1020061.png, 0: 446557, 1: 24050, 2: 504, 3: 2424, 4: 65, BAD: 0
P1020062.png, 0: 446850, 1: 23363, 2: 934, 3: 2360, 4: 93, BAD: 0
P1020063.png, 0: 451786, 1: 19323, 2: 0, 3: 2428, 4: 63, BAD: 0
P1020064.png, 0: 451899, 1: 19199, 2: 62, 3: 2371, 4: 69, BAD: 0
P1020065.png, 0: 446823, 1: 25111, 2: 0, 3: 1616, 4: 50, BAD: 0
P1020066.png, 0: 441813, 1: 29572, 2: 494, 3: 1689, 4: 32, BAD: 0
P1020067.png, 0: 461030, 1: 10061, 2: 169, 3: 2295, 4: 45, BAD: 0
P1020068.png, 0: 462967, 1: 7781, 2: 377, 3: 2417, 4: 58, BAD: 0
P1020069.png, 0: 462920, 1: 7764, 2: 419, 3: 2407, 4: 90, BAD: 0
P1020070.png, 0: 463592, 1: 6971, 2: 429, 3: 2496, 4: 112, BAD: 0
P1020071.png, 0: 468470, 1: 2740, 2: 255, 3: 2057, 4: 78, BAD: 0
P1020072.png, 0: 467231, 1: 3925, 2: 212, 3: 2144, 4: 88, BAD: 0
P1020073.png, 0: 463645, 1: 8006, 2: 112, 3: 1766, 4: 71, BAD: 0
P1020074.png, 0: 459467, 1: 11703, 2: 302, 3: 2042, 4: 86, BAD: 0
P1020075.png, 0: 460108, 1: 12381, 2: 97, 3: 973, 4: 41, BAD: 0
P1020076.png, 0: 458322, 1: 13586, 2: 348, 3: 1308, 4: 36, BAD: 0
P1020077.png, 0: 459340, 1: 11437, 2: 451, 3: 2268, 4: 104, BAD: 0
P1020078.png, 0: 459097, 1: 11760, 2: 380, 3: 2297, 4: 66, BAD: 0
P1020079.png, 0: 468254, 1: 3838, 2: 269, 3: 1186, 4: 53, BAD: 0
P1020080.png, 0: 469210, 1: 2701, 2: 296, 3: 1348, 4: 45, BAD: 0
P1020081.png, 0: 465073, 1: 6065, 2: 288, 3: 2118, 4: 56, BAD: 0
P1020082.png, 0: 464379, 1: 6376, 2: 434, 3: 2355, 4: 56, BAD: 0
P1020083.png, 0: 459362, 1: 10380, 2: 580, 3: 3206, 4: 72, BAD: 0
P1020084.png, 0: 455451, 1: 14747, 2: 558, 3: 2754, 4: 90, BAD: 0
P1020085.png, 0: 464822, 1: 6127, 2: 436, 3: 2126, 4: 89, BAD: 0
P1020086.png, 0: 465382, 1: 4615, 2: 588, 3: 2929, 4: 86, BAD: 0
P1020087.png, 0: 464710, 1: 6370, 2: 169, 3: 2258, 4: 93, BAD: 0
P1020088.png, 0: 466585, 1: 4449, 2: 0, 3: 2488, 4: 78, BAD: 0
P1020089.png, 0: 466246, 1: 4353, 2: 419, 3: 2502, 4: 80, BAD: 0
P1020090.png, 0: 465710, 1: 4931, 2: 383, 3: 2534, 4: 42, BAD: 0
P1020091.png, 0: 460893, 1: 10249, 2: 664, 3: 1722, 4: 72, BAD: 0
P1020092.png, 0: 459747, 1: 10925, 2: 552, 3: 2303, 4: 73, BAD: 0
P1020093.png, 0: 466737, 1: 4576, 2: 278, 3: 1958, 4: 51, BAD: 0
P1020095.png, 0: 465370, 1: 5725, 2: 337, 3: 2103, 4: 65, BAD: 0
P1020096.png, 0: 465577, 1: 5278, 2: 338, 3: 2353, 4: 54, BAD: 0
P1020097.png, 0: 460146, 1: 10853, 2: 778, 3: 1764, 4: 59, BAD: 0
P1020098.png, 0: 461327, 1: 9383, 2: 764, 3: 2053, 4: 73, BAD: 0
P1020099.png, 0: 455540, 1: 12938, 2: 791, 3: 4225, 4: 106, BAD: 0
P1020100.png, 0: 460150, 1: 9331, 2: 528, 3: 3530, 4: 61, BAD: 0
P1020101.png, 0: 463599, 1: 6152, 2: 758, 3: 3002, 4: 89, BAD: 0
P1020102.png, 0: 458772, 1: 10578, 2: 478, 3: 3654, 4: 118, BAD: 0
visualize_images
Displays a proper and correct overlay
And this is the new specs for the classes:
data_class_config {
target_classes {
name: "Background"
mapping_class: "Background"
label_id: 0
}
target_classes {
name: "L10"
mapping_class: "L10"
label_id: 1
}
target_classes {
name: "N40"
mapping_class: "N40"
label_id: 2
}
target_classes {
name: "S70"
mapping_class: "S70"
label_id: 3
}
target_classes {
name: "E100"
mapping_class: "E100"
label_id: 4
}
}
Also converted all images and masks to 320 X 320
And still getting a nan result