From scratch train the model with custom dataset.

[hewumars]

I use fit_scan.py to generate my custom dataset.

after train 500 epoch, to test image, 2d vertices are close to ok, but 3d vertices are not correct at all.

What is the possible reason for this?

vertices unit is millimeters.
label json is as follows:
{
"vertices": [
[
0.04518344467567696,
0.17775802332478438,
-0.39643736129255214
],
[
0.048658336279237865,
0.1768529119593747,
-0.39521232999733014
],
[
0.04945889770001125,
0.17799078430798437,
-0.39566139249431254
],
[
0.04600878696145669,
0.17851796093268812,
-0.39655851551505694
],
[
0.049867298790216646,
0.18126493109592973,
-0.3838844547280212
],
[
0.05354209709941608,
0.18278256826344497,
-0.3882279945523791
],
........

],
"model_view_matrix": [
[
0.9792482433597487,
0.0477148473832626,
0.19696743694336385,
0.28946250677108765
],
[
-0.0029217173213029147,
0.9751122033902291,
-0.22169270255772225,
-0.300279438495636
],
[
-0.2026433849024943,
0.2165167063730747,
0.9550163215446188,
1.0343986749649048
],
[
0.0,
0.0,
0.0,
1.0
]
],
"projection_matrix": [
[
1373.6173986936753,
0.0,
-252.10671060735615,
0.0
],
[
0.0,
1372.9339350792657,
356.03684183339647,
0.0
],
[
0.0,
0.0,
1,
-0.2
],
[
0.0,
0.0,
1,
0.0
]
]
}