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[MFR21] ICCV21 masked face recognition challenge discussion #1564
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有谁测试过baseline 模型在IJBC上的准确率吗?我测试时一直报错。 |
Hello and thank you for organizing the challenge this year! |
@vuvko Yes, top-rank players should send their solutions to organizers after submission closed. |
Thank you for your quick response! |
@vuvko We will strictly check the reproducibility. There should not be any hardware-dependent issue. |
Please join the QQ group or WeChat group, let’s talk in detail. |
Hello |
Same problem here, I cannot upload the baseline iresnet50 model due to very slow upload speed. |
Looks like the speed is even low now, less than 10 KB/sec is being uploaded from my system. @nttstar Can you please look into this? |
@manideep2510 @vuvko The submission server is located in China and it seems to have bandwidth problems for other countries. We will try to find a solution soon. |
Is there any preprocessing like normalization before load to model ? |
@nutsam Normalization setting will be auto-detected in our onnx_helper.py, please check it. |
@nttstar is there any update on the uploading problem? |
@vuvko We're trying! |
Hello @nttstar ,
Thank you, file_: ms1m_groupface_resnet101.onnx |
@nqkhai1706 Have you checked with onnxruntime==1.6 ? |
No, my onnxruntime version: 1.8.0. |
@nttstar I have checked again with onnxruntime==1.6, the result is same with onnxruntume==1.8.0. |
This is our error: >>> import onnxruntime
>>> session = onnxruntime.InferenceSession("ms1m_groupface_resnet101.onnx", None) Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/face/miniconda3/lib/python3.7/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 206, in __init__
self._create_inference_session(providers, provider_options)
File "/home/face/miniconda3/lib/python3.7/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 226, in _create_inference_session
sess = C.InferenceSession(session_options, self._model_path, True, self._read_config_from_model)
onnxruntime.capi.onnxruntime_pybind11_state.InvalidProtobuf: [ONNXRuntimeError] : 7 : INVALID_PROTOBUF : Load model from /mnt/data/models/1624534624858999668/ms1m_groupface_resnet101.onnx failed:Protobuf parsing failed. The environment of our system is as follows: Driver Version: 450.80.02
Cuda compilation tools, release 10.2, V10.2.89
onnx==1.8.0
onnx-simplifier==0.3.5
onnxoptimizer==0.2.5
onnxruntime-gpu==1.6.0 |
测试的时候能否知道当前的图片是否有mask |
@nttstar Even though I have not submitted any model today or yesterday. The portal is still showing that
Can you please look into this? Thanks in advance. |
@manideep2510 What is your username? |
@zhanglaplace 目前不能 |
My user name is |
It's probably a bug about jet lag, and we'll fix that in no time. |
Hi, please provide some information related to the browser to help better debug. Like which browser you use and the version of the browser. |
@manideep2510 Hi, @JesseEisen is helping us build the evaluation system, please let him know your detailed issue. |
I am using Mozilla Firefox Version 89.02. The portal is now showing
But I am able to upload and make submissions. |
@manideep2510 Can you try Chrome? |
I have approved all new registrations. |
Hello,
We uploaded our model to the server but it is written that "evaluation tool
MIV failed: max feat dim exceed, given 12500". Our method returns 12500
dimensional features and there is no way to decrease it. We submitted a
paper to IEEE Transactions on Neural networks and one reviewer insisted on
testing our method on this challenge. Could you test our method and share
the results with us please? You do not need to report our results on the
MFR site.
Best regards,
Prof. Hakan Cevikalp
…On Wed, Mar 27, 2024 at 12:35 PM Jia Guo ***@***.***> wrote:
I have approved all new registrations.
—
Reply to this email directly, view it on GitHub
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@Cevikalp Sorry we don't support the model evaluation with such high feature dimension. |
Hi Hakan,
Let me check the evaluation server status and get back to you shortly.
Best regards,
Jiankang
…________________________________
From: Hakan Cevikalp ***@***.***>
Sent: 30 March 2024 13:45
To: deepinsight/insightface ***@***.***>; ***@***.*** ***@***.***>; Deng, Jiankang ***@***.***>; ***@***.*** ***@***.***>; Jiwen Lu ***@***.***>; ***@***.*** ***@***.***>; ***@***.*** ***@***.***>
Cc: deepinsight/insightface ***@***.***>; Comment ***@***.***>
Subject: Re: [deepinsight/insightface] [MFR21] ICCV21 masked face recognition challenge discussion (#1564)
This email from ***@***.*** originates from outside Imperial. Do not click on links and attachments unless you recognise the sender. If you trust the sender, add them to your safe senders list<https://spam.ic.ac.uk/SpamConsole/Senders.aspx> to disable email stamping for this address.
Hello,
We uploaded our model to the server but it is written that "evaluation tool MIV failed: max feat dim exceed, given 12500". Our method returns 12500 dimensional features and there is no way to decrease it. We submitted a paper to IEEE Transactions on Neural networks and one reviewer insisted on testing our method on this challenge. Could you test our method and share the results with us please? You do not need to report our results on the MFR site.
Best regards,
Prof. Hakan Cevikalp
On Wed, Mar 27, 2024 at 12:35 PM Jia Guo ***@***.******@***.***>> wrote:
I have approved all new registrations.
—
Reply to this email directly, view it on GitHub<#1564 (comment)>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/AQFHF22EGFQAIJV3ZS5LRB3Y2KHFZAVCNFSM46CTAFN2U5DIOJSWCZC7NNSXTN2JONZXKZKDN5WW2ZLOOQ5TEMBSGIZTCMZSGA4A>.
You are receiving this because you commented.Message ID: ***@***.***>
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Thank you very much.
31 Mar 2024 Pzr 00:55 tarihinde Deng, Jiankang ***@***.***>
şunu yazdı:
… Hi Hakan,
Let me check the evaluation server status and get back to you shortly.
Best regards,
Jiankang
------------------------------
*From:* Hakan Cevikalp ***@***.***>
*Sent:* 30 March 2024 13:45
*To:* deepinsight/insightface <
***@***.***>;
***@***.*** ***@***.***>; Deng, Jiankang <
***@***.***>; ***@***.*** <
***@***.***>; Jiwen Lu ***@***.***>;
***@***.*** ***@***.***>;
***@***.*** ***@***.***>
*Cc:* deepinsight/insightface ***@***.***>; Comment <
***@***.***>
*Subject:* Re: [deepinsight/insightface] [MFR21] ICCV21 masked face
recognition challenge discussion (#1564)
This email from ***@***.*** originates from outside
Imperial. Do not click on links and attachments unless you recognise the
sender. If you trust the sender, add them to your safe senders list
<https://spam.ic.ac.uk/SpamConsole/Senders.aspx> to disable email
stamping for this address.
Hello,
We uploaded our model to the server but it is written that "evaluation
tool MIV failed: max feat dim exceed, given 12500". Our method returns
12500 dimensional features and there is no way to decrease it. We submitted
a paper to IEEE Transactions on Neural networks and one reviewer insisted
on testing our method on this challenge. Could you test our method and
share the results with us please? You do not need to report our results on
the MFR site.
Best regards,
Prof. Hakan Cevikalp
On Wed, Mar 27, 2024 at 12:35 PM Jia Guo ***@***.***> wrote:
I have approved all new registrations.
—
Reply to this email directly, view it on GitHub
<#1564 (comment)>,
or unsubscribe
<https://github.com/notifications/unsubscribe-auth/AQFHF22EGFQAIJV3ZS5LRB3Y2KHFZAVCNFSM46CTAFN2U5DIOJSWCZC7NNSXTN2JONZXKZKDN5WW2ZLOOQ5TEMBSGIZTCMZSGA4A>
.
You are receiving this because you commented.Message ID:
***@***.***>
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您好,我想根据 MFR 数据集对我的模型进行基准测试,但没有收到任何确认电子邮件,能批准一下新注册吗? |
@juechengxi 已全部通过 |
您好,我想参加 MFR-Ongoing,注册后没有收到任何确认电子邮件,能批准一下新注册吗? |
@nttstar 你好,你们提供的 vit-l 代码训练出来就超过了 1 GB,无法上传测试,请问用什么方式可以 upload 测试? |
@nttstar Please request registration of MFR, username: koala, Thanks. |
已通过 |
DONE |
您好我再使用mbf作为backbone训练的人脸识别模型 送到mfr进行测试是报错如下: |
@nttstar Can you approve my registration? username: v.thanhtm6@vinbigdata.com, Thanks. |
@HustTD Done |
@nttstar Could you approve my registration? username: sun8878232@gmail.com. Thanks |
@livermoressss done |
@nttstar Could you approve my registration? username: chenzw. Thanks |
@nttstar Could you approve my registration? username: tom_hust. Thanks |
@nttstar Could you approve my registration? username: harikiran |
@nttstar Could you please approve my registration? username: satvik |
@nttstar what is wrong with your server? http://iccv21-mfr.com/ keep spinning |
@TranThanh96 Restarted, you can try again. |
@nttstar Could you approve my registration? username: ymd. Thanks |
@Eliza-and-black Done |
@nttstar Could you please approve my registration? username: xyz Thanks |
@zhangxueyuan2017 Done |
How to participate:
https://github.com/deepinsight/insightface/tree/master/challenges/iccv21-mfr
Submission server:
http://iccv21-mfr.com/
Workshop homepage:
https://ibug.doc.ic.ac.uk/resources/masked-face-recognition-challenge-workshop-iccv-21/
Any issue can be left in this thread.
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