Open Shahnawazgrewal opened 6 years ago
@syy6 hello,i also have the problem(OutOfRangeError). How can i do to solve it ?
@phoebushe , I just checked if there is any broken images for the input and I find one image is broken.
@syy6 , VGGFACE2 dataset have over 300 million images, could u tell me how to check the images?Thx!!!!!
@phoebushe , just use Python, code snip as below. `from PIL import Image, ExifTags
image=Image.open(file_path)
image.verify()`
@syy6 Thanks a lot!!
@syy6 image.verify()
is the best way to check up to now.
hi all, In this repo, @davidsandberg use LWF with LWF dataset and pairs.txt file. How to evaluate with your dataset (have use pairs.txt file, ...) when you fine-tune Asian-face dataset? I donn't know how to evaluate for new dataset (I fine tune for Asian-face dataset)? Thank you
Q1: What is your learning rate, learning rate decay epochs and learning rate decay epochs in the experiment using center loss? I find that the default settings of these hyperparameters are 0.1, 100 and 1.0, respectively. Did you modify them? If yes, can you share your modify value?
Q2: Have you tried training a initial inception-resnet-v1 with triplet loss using CASIA WebFace, MS-Celeb-1M or VGGFace2 ? I wonder if the triplet loss can well pre-train the inception-resnet-v1 and obtain better performance in LFW dataset in both rank-1 accuracy and the verification rates?
How to train on images of size 100,100 rather than 160,160 ?
Hi @Shahnawazgrewal , we are very much impressed with the performance of you model. Thank you.
@Shahnawazgrewal Hey thanks for releasing your model! However, it looks like the link is broken. Did you change the location of the link by any chance? Thanks in advance!
can some one tell me what computer spec your using to train the model using this dataset ,or the cloud spec if trained in cloud thanks in advance .I am beginner in computer vision and trying to train a model of my own from scratch using this dataset , the model similar to inception model used in facenet
Hi @Shahnawazgrewal Do you know how can I fine-tune this classifier for my dataset?
@Shahnawazgrewal link doesn`t work
Link broken
I trained a model on VGGFace2 using center loss. The embedding is powerful than the subset of MS-Celeb. I can make the model public with the two available mode. @davidsandberg