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Can the quantized yolov5 model with Brevitas be deployed on the DPU (Deep Learning Processing Unit)? #47

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IkrameBeggar opened this issue Jan 22, 2024 · 2 comments
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@IkrameBeggar
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IkrameBeggar commented Jan 22, 2024

❔Question

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Hello, I want to quantize a yolov5 model and deploy on it ZCU104 using the DPU. I want to know if the quantized model with Brevitas can be compiled and deployed on the DPU.

@IkrameBeggar IkrameBeggar added the question Further information is requested label Jan 22, 2024
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👋 Hello @IkrameBeggar, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.

If this is a 🐛 Bug Report, please provide screenshots and minimum viable code to reproduce your issue, otherwise we can not help you.

If this is a custom training ❓ Question, please provide as much information as possible, including dataset images, training logs, screenshots, and a public link to online W&B logging if available.

For business inquiries or professional support requests please visit https://ultralytics.com or email Glenn Jocher at glenn.jocher@ultralytics.com.

Requirements

Python>=3.6.0 with all requirements.txt installed including PyTorch>=1.7. To get started:

$ git clone https://github.com/ultralytics/yolov5
$ cd yolov5
$ pip install -r requirements.txt

Environments

YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

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CI CPU testing

If this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training (train.py), validation (val.py), inference (detect.py) and export (export.py) on MacOS, Windows, and Ubuntu every 24 hours and on every commit.

@sefaburakokcu
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Hi @IkrameBeggar,

Thank you for your interest. Unfortunately, I don't have any information about DPU support. Perhaps @bestamigunay might have some insights.

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