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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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👋 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. RequirementsPython>=3.6.0 with all requirements.txt installed including PyTorch>=1.7. To get started: $ git clone https://github.com/ultralytics/yolov5
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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. |
❔Question
Additional context
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.
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