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kennethwdk / LocLLM

Code for "LocLLM: Exploiting Generalizable Human Keypoint Localization via Large Language Model", CVPR 2024 Highlight
MIT License
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Obtain the annotation files “Sample_trainmin_train_Human36M_protocol_2.json” #5

Open li-stu-998 opened 4 weeks ago

li-stu-998 commented 4 weeks ago

Hi author,

It is wonderful work, Thank you for your code and models.

Where can I obtain the annotation files “Sample_trainmin_train_Human36M_protocol_2.json” and "Sample_64_test_Human36M_protocol_2" for training and testingthe H36M dataset on LocLLM？ Is it convenient for you to provide？

ni123die commented 3 weeks ago

https://github.com/Jeff-sjtu/res-loglikelihood-regression?tab=readme-ov-file

ni123die commented 3 weeks ago

How can you get the valid.json of mpii

li-stu-998 commented 3 weeks ago

How can you get the valid.json of mpii https://drive.google.com/drive/folders/1En_VqmStnsXMdldXA6qpqEyDQulnmS3a

li-stu-998 commented 3 weeks ago

https://github.com/Jeff-sjtu/res-loglikelihood-regression?tab=readme-ov-file Thanks!

ni123die commented 3 weeks ago

太牛逼了兄弟

ni123die commented 3 weeks ago

Can you run the command bash scripts/valid_h36m.sh?

image
li-stu-998 commented 3 weeks ago

Can you run the command bash scripts/valid_h36m.sh? image

I haven't trained and validated the Human3.6m dataset yet, and I'm currently experiencing issues downloading the dataset.

li-stu-998 commented 3 weeks ago

Can you run the command bash scripts/valid_h36m.sh? image

I haven't trained and validated the Human3.6m dataset yet, and I'm currently experiencing issues downloading the dataset.

你好，方便加一下您的联系方式，交流一下该模型么。

ni123die commented 3 weeks ago

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