Encerrado

Porting Pytorch/Detectron to TensorRT CUDA Custom Layer

I need to find a player who can implement a cuda custom layer of TensorRT from Detectron gpu operators.

Target is "Resnet50-FPN-FasterRCNN with ROI-Align-Pooling".

you can find the target codes from pytorch/caffe2/operators github.

Habilidades: Programação C, Programação C++ , CUDA, Python, Arquitetura de software

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Acerca do Empregador:
( 0 comentários ) Korea, Republic of

ID do Projeto: #19761273

4 freelancers estão ofertando em média $405 para esse trabalho

brianconey

Hello How are you I have read your job description in detail . I am Xu It is a piece of cake Please contact me and Let's discuss more thanks for your posting . hope to hear from you .

$140 USD in 7 dias
(31 Comentários)
6.0
amalphateam

Hello, Thanks for your posting. I am expert python and machine learning. I have many experience with image processing using tensorflow and CUDA. Please give me a chance to show my demo. Best regard.

$140 USD in 7 dias
(4 Comentários)
3.6
StrongDecs

Hi, I propose fastest delivery here, please pm to discuss this project details. Thank you, Best Regards,

$1200 USD in 7 dias
(27 Comentários)
4.5
techlinesols6

Dear Prospect Hiring Manager. Thank you for giving me a chance to bid on your project. i am a serious bidder here and i have already worked on a similar project before and can deliver as u have mentioned "I can do th Mais

$140 USD in 7 dias
(4 Comentários)
0.0