ultralytics / yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
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when i train as guide document, i got the Segmentation fault (core dumped) #472

Closed 1006927966 closed 4 years ago

1006927966 commented 4 years ago

i get that the error is produced by dataloader, but i don,t know why?

github-actions[bot] commented 4 years ago

Hello @1006927966, thank you for your interest in our work! Please visit our Custom Training Tutorial to get started, and see our Jupyter Notebook Open In Colab, Docker Image, and Google Cloud Quickstart Guide for example environments.

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 model or data training question, please note that Ultralytics does not provide free personal support. As a leader in vision ML and AI, we do offer professional consulting, from simple expert advice up to delivery of fully customized, end-to-end production solutions for our clients, such as:

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glenn-jocher commented 4 years ago

@1006927966 hello, thank you for your interest in our work! This issue seems to lack the minimum requirements for a proper response, or is insufficiently detailed for us to help you. Please note that most technical problems are due to:

If none of these apply to you, we suggest you close this issue and raise a new one using the Bug Report template, providing screenshots and minimum viable code to reproduce your issue. Thank you!

1006927966 commented 4 years ago

i use coco128 to train . and the environment is pytorch 1.4 torchvsion 0.6 python 3.64

1006927966 commented 4 years ago

i use coco128 to train . and the environment is pytorch 1.4 torchvsion 0.6 python 3.64 cuda 10.0

glenn-jocher commented 4 years ago

@1006927966 it appears you have environment problems. In order to run YOLOv5 correctly your environment must meet the minimum version requirements for the dependencies described in https://github.com/ultralytics/yolov5#requirements. You can either update your local environment to bring it into compliance or you can use one of our verified environment options below.

Reproduce Our Environment

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

github-actions[bot] commented 4 years ago

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.