Comments (9)
I got it, but you can train the model yourself with the provide code and use the current weights as the pretrained model for the next stage.
I will upload the trained-models as soon as possible
from handpose.
I appreciate it! It helps to speed up evaluating. Please update when the uploads are available, thank you!
from handpose.
Hi there! When can we expect the trained models to be uploaded? Thanks!
from handpose.
Could you provide a link to the trained models please?
from handpose.
I need trained model, too. Would you upload it?
from handpose.
the network is trained beginning with that all weights initialized from the zero-mean normal
distribution. So the 'pred-trained' models you said mean?
from handpose.
Sorry I wasn't clear. I meant the model weights output by your network, for us to use as pretrained models.
from handpose.
Hi,
could you please share a trained model to be able to directly use the demo without previous training? I need it urgently to generate reliable annotations for my own images, and it would be great to be able to use your model. Thanks in advance!
from handpose.
Hello @dumyy, could you please share the trained models with us? Thanks!
from handpose.
Related Issues (20)
- Inference time while testing HOT 5
- improper GPU utilization HOT 10
- Code_workflow HOT 5
- About Gesture Segmentation HOT 5
- About ICVL dataset for train
- Low GPU utilization and high CPU utilization HOT 15
- test error between paper and the code HOT 1
- Resnet-50 basemodel structure HOT 2
- Hands 2017 dataloader
- Variable crop_joint_idx ? HOT 1
- About Gesture Segmentation HOT 1
- Question about differences in accuracy of real-time demo HOT 5
- Question about MSRA HOT 3
- pre-trained model HOT 1
- About data Processing HOT 1
- Could you provide Pretrained Model?
- May you provide pretrain model?
- ValueError:too many values to unpack
- MSRA subsets HOT 1
- ICVL dataset training file
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from handpose.