* Add python api that generates desciptor(s) from the aligned image(s)
* Remove asserts from face_recognition.py example/tutorial
* In batch_compute_face_descriptors_from_aligned_images, use for-in loop to simplify the code
Improvde the document on binding methods and the error message if the aligned image is not of size 150x150
pull/1675/head
Kapil Sachdeva6 years agocommitted byDavis E. King
"If num_jitters>1 then each face will be randomly jittered slightly num_jitters times, each run through the 128D projection, and the average used as the face descriptor. "
"If num_jitters>1 then each face will be randomly jittered slightly num_jitters times, each run through the 128D projection, and the average used as the face descriptor. "
"Optionally allows to override default padding of 0.25 around the face."
"Optionally allows to override default padding of 0.25 around the face."
"Takes an aligned face image of size 150x150 and converts it into a 128D face descriptor."
"Note that the alignment should be done in the same way dlib.get_face_chip does it."
"If num_jitters>1 then image will be randomly jittered slightly num_jitters times, each run through the 128D projection, and the average used as the face descriptor. "
"Takes an array of images and an array of arrays of full_object_detections. `batch_faces[i]` must be an array of full_object_detections corresponding to the image `batch_img[i]`, "
"Takes an array of images and an array of arrays of full_object_detections. `batch_faces[i]` must be an array of full_object_detections corresponding to the image `batch_img[i]`, "
"referencing faces in that image. Every face will be converting into 128D face descriptors. "
"referencing faces in that image. Every face will be converted into 128D face descriptors. "
"If num_jitters>1 then each face will be randomly jittered slightly num_jitters times, each run through the 128D projection, and the average used as the face descriptor. "
"If num_jitters>1 then each face will be randomly jittered slightly num_jitters times, each run through the 128D projection, and the average used as the face descriptor. "
"Optionally allows to override default padding of 0.25 around the face."
"Optionally allows to override default padding of 0.25 around the face."
"Takes an array of aligned images of faces of size 150_x_150."
"Note that the alignment should be done in the same way dlib.get_face_chip does it."
"Every face will be converted into 128D face descriptors. "
"If num_jitters>1 then each face will be randomly jittered slightly num_jitters times, each run through the 128D projection, and the average used as the face descriptor. "