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.

Evner: C programmering, C++ Programmering, CUDA, Python, Software Arkitektur

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Om arbejdsgiveren:
( 0 bedømmelser ) Korea, Republic of

Projekt ID: #19761273

4 freelancere byder i gennemsnit $405 på dette job


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 dage
(31 bedømmelser)

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 dage
(4 bedømmelser)

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

$1200 USD in 7 dage
(27 bedømmelser)

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 Flere

$140 USD in 7 dage
(4 bedømmelser)