13.4 azface detect many faces
20210406
Here’s a photo with quite a few more faces. The model will output a line for each and every face that it finds. We don’t include them all here but there are quite a few listed.
$ ml detect azface https://bit.ly/3sYTz2F
591 846 591 969 714 969 7...,27.0,female,no glasses,happiness,no occlusion
892 655 892 777 1014 777 ...,65.0,male,no glasses,happiness,no occlusion
686 539 686 660 807 660 8...,38.0,male,no glasses,happiness,no occlusion
1635 745 1635 865 1755 86...,25.0,female,no glasses,happiness,forehead_occluded
1065 505 1065 625 1185 62...,60.0,male,no glasses,happiness,no occlusion
1182 675 1182 795 1302 79...,28.0,female,no glasses,happiness,no occlusion
359 672 359 791 478 791 4...,29.0,female,no glasses,happiness,forehead_occluded
1420 797 1420 915 1538 91...,50.0,female,no glasses,happiness,forehead_occluded
1690 504 1690 621 1807 62...,34.0,male,readingGlasses,happiness,no occlusion
1378 569 1378 675 1484 67...,35.0,female,no glasses,happiness,no occlusion
731 162 731 243 812 243 8...,33.0,female,no glasses,neutral,no occlusion
1474 153 1474 228 1549 22...,30.0,female,no glasses,happiness,mouth_occludedNotice the occlusion column includes forehead_occluded and
mouth_occluded. We make use of that in Section
13.7 where we identify those people who
are possibly wearing hats.
Can you also see the entry that has identified reading classes? Notice that the x coordinates for that entry are large numbers, probably corresponding to the person in the photo on the far right.
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