scipy and numpy version dependency

[fei4xu]

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Question

Hi,

I noticed that in the requirement.txt
https://github.com/ultralytics/yolov5/blob/master/requirements.txt#L5-L10

numpy>=1.18.5
scipy>=1.4.1

and also in the scipy & numpy version compatible table at https://docs.scipy.org/doc/scipy/dev/toolchain.html#numpy

SciPy version	Python versions	NumPy versions
1.2	2.7, >=3.4, <=3.7	>=1.8.2, <= 1.16.x
1.4	>=3.5, <=3.8	>=1.13.3, <= 1.17.3
1.5	>=3.6, <=3.9	>=1.14.5, <= 1.19.3

if numpy>1.18, scipy should be at least 1.5, so the current version of >=1.4.1 should be change to at lease 1.5, am I right?
(I'm new to scipy and numpy)

Additional

No response

[glenn-jocher]

@fei4xu yes I think you are right! I'll make a PR.

[glenn-jocher]

@fei4xu good news 😃! Your original issue may now be fixed ✅ in PR #7646. To receive this update:

• Git – git pull from within your yolov5/ directory or git clone https://github.com/ultralytics/yolov5 again
• PyTorch Hub – Force-reload model = torch.hub.load('ultralytics/yolov5', 'yolov5s', force_reload=True)
• Notebooks – View updated notebooks
• Docker – sudo docker pull ultralytics/yolov5:latest to update your image

Thank you for spotting this issue and informing us of the problem. Please let us know if this update resolves the issue for you, and feel free to inform us of any other issues you discover or feature requests that come to mind. Happy trainings with YOLOv5 🚀!