Detect faces in folders of images and write the resulting information into a CSV.
See fork parent for more info.
Simply pass the folders containing the images:
$ python inference_image_face.py <image_folder1> <image_folder2> ...
By default, it will pick up the test_images folder.
$ python inference_image_face.py
Which will result in the following:
Image Location | Score | X1 | Y1 | X2 | Y2 |
---|---|---|---|---|---|
test_images/nabokov.jpg | 0.999 | 130 | 162 | 318 | 387 |
test_images/1280px-Reagan_signs_Martin_Luther_King_bill.jpg | 0.982 | 819 | 206 | 892 | 292 |
test_images/1280px-Reagan_signs_Martin_Luther_King_bill.jpg | 0.980 | 630 | 161 | 700 | 263 |
test_images/1280px-Reagan_signs_Martin_Luther_King_bill.jpg | 0.940 | 305 | 150 | 388 | 268 |
test_images/1280px-Reagan_signs_Martin_Luther_King_bill.jpg | 0.926 | 960 | 212 | 1036 | 315 |
test_images/1280px-Reagan_signs_Martin_Luther_King_bill.jpg | 0.907 | 425 | 170 | 501 | 278 |
test_images/1280px-Reagan_signs_Martin_Luther_King_bill.jpg | 0.805 | 776 | 402 | 877 | 526 |
test_images/subfolder/musk_obama.jpeg | 0.989 | 164 | 322 | 232 | 413 |
test_images/subfolder/musk_obama.jpeg | 0.970 | 1678 | 439 | 1736 | 503 |
test_images/subfolder/musk_obama.jpeg | 0.968 | 465 | 431 | 517 | 495 |
test_images/subfolder/musk_obama.jpeg | 0.893 | 643 | 259 | 718 | 350 |
test_images/subfolder/musk_obama.jpeg | 0.872 | 963 | 293 | 1033 | 378 |