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sys.path.append('./vendors/Sphereface')
config_path = os.path.join('./vendors', 'Sphereface',
'20220428_232053', 'config.yml')
with open(config_path, 'r') as f:
test…
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Hi ! Thank you for this pytorch version sphereface code ,I have found this for a long time .But when I run train.py ,some problems occured.
VisibleDeprecationWarning: using a non-integer number …
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Thank you for the excellent work! I would like to ask if you would mind if we adapt this code into the official WeSpeaker models. We will definitely include the original paper link, authorship, etc. I…
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Hi, @wy1iu, sphereface is quite a great work and i have some questions about the formula derivation in margin_inner_product_layer. Such as in "margin_inner_product_layer.hpp" file, why set "sign_0 = s…
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Hi clcarwin,
I run the code: python train.py, with default hyper parameters.
and evaluate on lfw: python lfw_eval.py.
The accuracy is: LFWACC=0.9907 std=0.0033 thd=0.3250.
For your model, the ac…
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[Discussion]
[1st place solution: Metric learning and GPT](https://www.kaggle.com/c/coleridgeinitiative-show-us-the-data/discussion/248251)
[1st solution: Matching the : Context Similarity via Dee…
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之前一直在研究局部描述子特征匹配,发现与人脸识别有很多相似之处,所以想借鉴一下。对于Siamese和Triplet这种度量方式很好理解,但是对于改进softmax这类方法,存在一处疑惑。sphereFace划分的类别数就是数据集中人脸的总数吗?
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Hi,
@tpys
I tried a sample video with one sample image. However, the recognition is so bad.
This is the sample image which I have put in facedb folder:
![messi](https://user-images.githubuserc…
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I trained sphereface64 network in the same super-parameter setting, but can not reach 99.% accuracy in LFW, but sphereface20 network can get 99.20% accuracy in LFW, which make me confused...why the de…
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I have train a model use the cleaned ms_1m data it have 79056 person.but when I use m=4 to finetuning,it failed. when i use m=2. the model test on LFW only acheive 99.1%.how to improve the performfac…