Awesome explanation of the Inception architecture: "If you don`t know what kernel to use just use them all and let the network figure out what to use."
thanks for the nice review, when i load the facenet model by tf.keras.models.load_model('facenet_keras.h5') with tensorflow 2.2, it keeps raising error (ValueError: bad marshal data (unknown type code), may i know is there any idea to mitigate it?
@@GabitTolendiyev Yeah I tried it using opencv and a caffe model and an SVM for classification. It works great so far. I'm creating a GUI desktop app for this and will be uploading it to my github so you can take a look at github.com/ashar-7
Gabit Tolendiyev if you want to train your own then yes, but you can use a pre-trained model and just generate embeddings from single or few photos per person
Awesome explanation of the Inception architecture: "If you don`t know what kernel to use just use them all and let the network figure out what to use."
@Lyle Rocco is this marketing? :))
This was so cool! Thank you Tess for this wonderful explanation!
THAT was a great great show right here. Thank you so much. that was very helpful. Great Work!
Great talk, thanks for uploading this!
Thank you for the upload! It helped a lot in understanding FaceNet.
I was just trying to read this paper. I was not able to understand it very much but this gave me a very good overall understanding of the paper.
thanks for the nice review, when i load the facenet model by tf.keras.models.load_model('facenet_keras.h5') with tensorflow 2.2, it keeps raising error (ValueError: bad marshal data (unknown type code), may i know is there any idea to mitigate it?
Thanks for sharing
This is a great video and a great Channel I just found!!
Thank you for sharing it ! It's amazing...
Hello, Thank you so much for the explanation. Please caw you share with us the notebook ? Thank you!
github.com/TessFerrandez/research-papers/blob/master/facenet/FaceNet.ipynb
Hello, did you try this?
How can i khow how many hidden layer used in facenet?
At 13:21 - With DALL·E we can create beach jam! 😂😂😂
I love you for uploading this!
Did you try this? Didn't you have any problem?
@@GabitTolendiyev Yeah I tried it using opencv and a caffe model and an SVM for classification. It works great so far. I'm creating a GUI desktop app for this and will be uploading it to my github so you can take a look at github.com/ashar-7
Good job
This if fantastic. 😍
It's even better than that ;)
Terrific! thank you for making it public.
Great video. Where can I find the notebook
I'll ask Tess to publish it!
@@machinelearningdojo thanks!
that would be phenomenal
@@machinelearningdojo sorry to bother you once again,but could you please share the notebook
Plzz share the notebook
@@siddheshghadi9207 github.com/TessFerrandez/research-papers/blob/master/facenet/FaceNet.ipynb
I have a problem,
RuntimeError: Unable to open models/landmarks.dat
Could you help me please?
you either need to train your own, or find/download a pre-trained off the internet... I am unfortunately not allowed to distribute it
@@tessferrandez7773 what I need to train? Lots of data? Thanks
Gabit Tolendiyev if you want to train your own then yes, but you can use a pre-trained model and just generate embeddings from single or few photos per person
@@tessferrandez7773 thank you!
@@tessferrandez7773 mam how to generate embeddings from images
Is this IEEE Transaction
The paper
could you provide the slides of the presentation?
Hi Wilger, I have uploaded them here www.slideshare.net/TessFerrandez/facenet-paper-review
can we use cosine in facennet
In theory yeah, but I have a DB of 70,000 faces. And searching for 1 face can find 1000 or so results. And this is being conservative.