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Using YOLOv5 with Pillow-SIMD #7506
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👋 Hello @glenn-jocher, 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 support@ultralytics.com. RequirementsPython>=3.7.0 with all requirements.txt installed including PyTorch>=1.7. To get started: git clone https://github.com/ultralytics/yolov5 # clone
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Discussed in #7472
Originally posted by jkocherhans April 18, 2022
Hello! I’d like to use Pillow-SIMD (a drop-in replacement for Pillow) along with YOLOv5, but as soon as I import my model with
torch.hub.load
,check_requirements
notices that Pillow isn’t installed and installs it automatically over the top of Pillow-SIMD. I can think of a few possible ways around this, but they all involve changing YOLOv5’s code.install=True
default incheck_requirements
toFalse
. In a production environment, it’s surprising to me that importing code would cause a package to be installed, but I definitely see how the current behavior is helpful for most folks.install=False
intotorch.hub.load
, and pass that down to the call tocheck_requirements
.check_requirements
to check for Pillow-SIMD as a fallback for Pillow.If any combination of those options sound like a good idea to the maintainers, I’m happy to put together a PR.
Thank you!
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