How import pickle to index? about pynndescent

[lmcinnes]

What data type is all_face_encodings? I feel like this should work, but it isn't exactly clear to me whart is getting handed to NNDescent, so it is hard to judge quite what has gone astray...

[arpsyapathy]

@lmcinnes Hello! =)

I use https://github.com/ageitgey/face_recognition

I encodings get for images with faces with this library.
Encoding - a list of 128 real-valued numbers

**Like this:**
    known_face_encoding = [-0.09634063,  0.12095481, -0.00436332, -0.07643753,  0.0080383,
                            0.01902981, -0.07184699, -0.09383309,  0.18518871, -0.09588896,
                            0.23951106,  0.0986533 , -0.22114635, -0.1363683 ,  0.04405268,
                            0.11574756, -0.19899382, -0.09597053, -0.11969153, -0.12277931,
                            0.03416885, -0.00267565,  0.09203379,  0.04713435, -0.12731361,
                           -0.35371891, -0.0503444 , -0.17841317, -0.00310897, -0.09844551,
                           -0.06910533, -0.00503746, -0.18466514, -0.09851682,  0.02903969,
                           -0.02174894,  0.02261871,  0.0032102 ,  0.20312519,  0.02999607,
                           -0.11646006,  0.09432904,  0.02774341,  0.22102901,  0.26725179,
                            0.06896867, -0.00490024, -0.09441824,  0.11115381, -0.22592428,
                            0.06230862,  0.16559327,  0.06232892,  0.03458837,  0.09459756,
                           -0.18777156,  0.00654241,  0.08582542, -0.13578284,  0.0150229 ,
                            0.00670836, -0.08195844, -0.04346499,  0.03347827,  0.20310158,
                            0.09987706, -0.12370517, -0.06683611,  0.12704916, -0.02160804,
                            0.00984683,  0.00766284, -0.18980607, -0.19641446, -0.22800779,
                            0.09010898,  0.39178532,  0.18818057, -0.20875394,  0.03097027,
                           -0.21300618,  0.02532415,  0.07938635,  0.01000703, -0.07719778,
                           -0.12651891, -0.04318593,  0.06219772,  0.09163868,  0.05039065,
                           -0.04922386,  0.21839413, -0.02394437,  0.06173781,  0.0292527 ,
                            0.06160797, -0.15553983, -0.02440624, -0.17509389, -0.0630486 ,
                            0.01428208, -0.03637431,  0.03971229,  0.13983178, -0.23006812,
                            0.04999552,  0.0108454 , -0.03970895,  0.02501768,  0.08157793,
                           -0.03224047, -0.04502571,  0.0556995 , -0.24374914,  0.25514284,
                            0.24795187,  0.04060191,  0.17597422,  0.07966681,  0.01920104,
                           -0.01194376, -0.02300822, -0.17204897, -0.0596558 ,  0.05307484,
0.07417042, 0.07126575, 0.00209804]

I put this in pickle file with code:

import face_recognition
import pickle

all_face_encodings = {}

img1 = face_recognition.load_image_file("obama.jpg")
all_face_encodings["obama"] = face_recognition.face_encodings(img1)[0]

img2 = face_recognition.load_image_file("biden.jpg")
all_face_encodings["biden"] = face_recognition.face_encodings(img2)[0]

# ... etc ...
with open('dataset_faces.dat', 'wb') as f:
    pickle.dump(all_face_encodings, f)

And then i want to import this encodings to index for pynndescent.
And search a pynndescent index for the 5 nearest neighbors of one query image.

Do you understand me,friend? Sorry for my English..

I hope for your help. Thank you advanced!

[lmcinnes]

I think I understand. You should not be getting the error you are getting, but it is entirely unclear to me where the error actually is. Is it possible for you to post the full traceback rather than just the immediate error? It would be helpful to know on which lines of code it is failing.

…

On Thu, Dec 6, 2018 at 12:36 PM psyapathy ***@***.***> wrote: @lmcinnes <https://github.com/lmcinnes> Hello! =) I use https://github.com/ageitgey/face_recognition I encodings get for images with faces with this library. Encoding - a list of 128 real-valued numbers **Like this:** known_face_encoding = [-0.09634063, 0.12095481, -0.00436332, -0.07643753, 0.0080383, 0.01902981, -0.07184699, -0.09383309, 0.18518871, -0.09588896, 0.23951106, 0.0986533 , -0.22114635, -0.1363683 , 0.04405268, 0.11574756, -0.19899382, -0.09597053, -0.11969153, -0.12277931, 0.03416885, -0.00267565, 0.09203379, 0.04713435, -0.12731361, -0.35371891, -0.0503444 , -0.17841317, -0.00310897, -0.09844551, -0.06910533, -0.00503746, -0.18466514, -0.09851682, 0.02903969, -0.02174894, 0.02261871, 0.0032102 , 0.20312519, 0.02999607, -0.11646006, 0.09432904, 0.02774341, 0.22102901, 0.26725179, 0.06896867, -0.00490024, -0.09441824, 0.11115381, -0.22592428, 0.06230862, 0.16559327, 0.06232892, 0.03458837, 0.09459756, -0.18777156, 0.00654241, 0.08582542, -0.13578284, 0.0150229 , 0.00670836, -0.08195844, -0.04346499, 0.03347827, 0.20310158, 0.09987706, -0.12370517, -0.06683611, 0.12704916, -0.02160804, 0.00984683, 0.00766284, -0.18980607, -0.19641446, -0.22800779, 0.09010898, 0.39178532, 0.18818057, -0.20875394, 0.03097027, -0.21300618, 0.02532415, 0.07938635, 0.01000703, -0.07719778, -0.12651891, -0.04318593, 0.06219772, 0.09163868, 0.05039065, -0.04922386, 0.21839413, -0.02394437, 0.06173781, 0.0292527 , 0.06160797, -0.15553983, -0.02440624, -0.17509389, -0.0630486 , 0.01428208, -0.03637431, 0.03971229, 0.13983178, -0.23006812, 0.04999552, 0.0108454 , -0.03970895, 0.02501768, 0.08157793, -0.03224047, -0.04502571, 0.0556995 , -0.24374914, 0.25514284, 0.24795187, 0.04060191, 0.17597422, 0.07966681, 0.01920104, -0.01194376, -0.02300822, -0.17204897, -0.0596558 , 0.05307484, 0.07417042, 0.07126575, 0.00209804] **I put this in pickle file with code:** import face_recognition import pickle all_face_encodings = {} img1 = face_recognition.load_image_file("obama.jpg") all_face_encodings["obama"] = face_recognition.face_encodings(img1)[0] img2 = face_recognition.load_image_file("biden.jpg") all_face_encodings["biden"] = face_recognition.face_encodings(img2)[0] ... etc ... with open('dataset_faces.dat', 'wb') as f: pickle.dump(all_face_encodings, f) And then i want to import this encodings to index for pynndescent. And search a pynndescent index for the 5 nearest neighbors of one query image. Do you understand me,friend? Sorry for my English.. — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#8 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/ALaKBaQSKPGNE2evBQas4ZKYsoNqBrqUks5u2VWbgaJpZM4ZBjgG> .