PFLD-pytorch
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replace retinaface got wrong result
Hi, I simply replaced face detector, and the landmark generate is wrong:
[ 931.92762136 2339.20769691]
[ 510.39959192 2297.27704525]
[ 63.24823201 2284.217906 ]
[ 494.01687384 2427.17235088]
[ 744.55595613 1609.01716948]
[ 909.48493481 1217.38911867]
[ 603.90601158 1840.64791203]
[-129.06481326 2212.34843731]
[-133.53530467 1858.27581882]
[ 815.31933546 1050.98218918]
[ 681.86050057 1324.7084856 ]
[ 932.11687803 1675.40012598]
[ 549.24564958 1647.93741703]
[ 837.87542582 1662.80833483]
[ 870.4960227 1671.6031909 ]
[ 825.64744949 2499.12979603]
[ 105.63829914 2475.21629333]
[ 282.52048194 1844.15559769]
[ 818.49040389 491.52097106]
[1190.8842802 1193.24022532]]
these coordinates generated were quit large.
and the visualized result is not very right as well:

these landmarks were at wrong place.
Even I got wrong result, could you please tell me what have you done to make it right?
I have a worked version hosted on manaai.cn @sana15
http://manaai.cn/aicodes_detail3.html?id=62
It's using retinaface as detector (this version retinaface also support TensorRT acceleration)
You can try PFLD_68points_Pytorch