Facial Landmark Detection Demo

This is a CI/CD example of an evaluation report produced by giskard-vision which compares a set of facial landmark detection models based on the following criteria:

• Performance on partial and entire facial parts
• Performance on images containing faces with different head poses (estimated with 6DRepNet: https://github.com/thohemp/6DRepNet)
• Performance on images containing people from different ethnicities (estimated with DeepFace: https://github.com/serengil/deepface)
• Robustness against image perturbations like blurring, resizing, recoloring (performed by opencv: https://github.com/opencv/opencv)

Summary of the latest run:

	Best(prediction_time)			Best(prediction_fail_rate)			Best(metric_value)
model	FaceAlignment	Mediapipe	OpenCV	FaceAlignment	Mediapipe	OpenCV	FaceAlignment	Mediapipe	OpenCV
criteria
300W		✓		✓					✓
altered color		✓		✓			✓
blurred		✓		✓			✓
cropped on left half		✓		✓			✓
cropped on upper half		✓		✓					✓
latino_ethnicity		✓				✓			✓
negative_roll		✓		✓			✓
positive_roll		✓		✓			✓
resized with ratios: 0.5		✓		✓			✓
white_ethnicity		✓		✓			✓

Full Report

	criteria	model	test	metric	metric_value	Best(metric_value)	prediction_time	Best(prediction_time)	prediction_fail_rate	Best(prediction_fail_rate)
0	300W	FaceAlignment	Test	NME_mean	0.214453		64.1483		0.05	✓
1	300W	Mediapipe	Test	NME_mean	3.08786		4.93624	✓	0.19
2	300W	OpenCV	Test	NME_mean	0.195668	✓	29.9249		0.16
3	altered color	FaceAlignment	Test	NME_mean	0.174517	✓	58.1809		0.02	✓
4	altered color	Mediapipe	Test	NME_mean	2.5315		3.96894	✓	0.79
5	altered color	OpenCV	Test	NME_mean	0.243567		28.037		0.14
6	blurred	FaceAlignment	Test	NME_mean	0.204779	✓	63.3339		0.04	✓
7	blurred	Mediapipe	Test	NME_mean	3.26273		5.59357	✓	0.09
8	blurred	OpenCV	Test	NME_mean	0.331916		24.6266		0.12
9	cropped on left half	FaceAlignment	Test	NME_mean	0.0950334	✓	22.3192		0.820441	✓
10	cropped on left half	Mediapipe	Test	NME_mean	2.39931		3.95156	✓	0.951029
11	cropped on left half	OpenCV	Test	NME_mean	0.17521		11.1745		0.825882
12	cropped on upper half	FaceAlignment	Test	NME_mean	0.0948426		26.6648		0.782941	✓
13	cropped on upper half	Mediapipe	Test	NME_mean	2.19568		4.02357	✓	0.941765
14	cropped on upper half	OpenCV	Test	NME_mean	0.0519043	✓	10.7939		0.978824
15	latino_ethnicity	FaceAlignment	Test	NME_mean	0.294063		4.06596		0.142857
16	latino_ethnicity	Mediapipe	Test	NME_mean	3.20718		0.469689	✓	0.285714
17	latino_ethnicity	OpenCV	Test	NME_mean	0.0664585	✓	3.8904		0	✓
18	negative_roll	FaceAlignment	Test	NME_mean	0.0909015	✓	25.7093		0.0416667	✓
19	negative_roll	Mediapipe	Test	NME_mean	3.04958		2.03313	✓	0.0833333
20	negative_roll	OpenCV	Test	NME_mean	0.0968505		10.9992		0.125
21	positive_roll	FaceAlignment	Test	NME_mean	0.330439	✓	30.441		0.0576923	✓
22	positive_roll	Mediapipe	Test	NME_mean	3.13338		2.88912	✓	0.288462
23	positive_roll	OpenCV	Test	NME_mean	0.411305		17.3002		0.192308
24	resized with ratios: 0.5	FaceAlignment	Test	NME_mean	0.218424	✓	59.4045		0.04	✓
25	resized with ratios: 0.5	Mediapipe	Test	NME_mean	3.19861		5.10067	✓	0.12
26	resized with ratios: 0.5	OpenCV	Test	NME_mean	0.252987		10.9042		0.18
27	white_ethnicity	FaceAlignment	Test	NME_mean	0.084737	✓	29.2241		0.0384615	✓
28	white_ethnicity	Mediapipe	Test	NME_mean	3.16841		2.83826	✓	0.173077
29	white_ethnicity	OpenCV	Test	NME_mean	0.0986856		15.3149		0.0769231