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Validation errors are NaN #1804

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OOF-dura opened this issue Dec 29, 2020 · 3 comments
Closed

Validation errors are NaN #1804

OOF-dura opened this issue Dec 29, 2020 · 3 comments
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bug Something isn't working Stale

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@OOF-dura
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I am using Depth images for detection using Yolov5.
And I switch the image from [1,200,200] to [3,200,200] by duplication.

But I find:
image
image

Any suggestions?

@OOF-dura OOF-dura added the bug Something isn't working label Dec 29, 2020
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github-actions bot commented Dec 29, 2020

Hello @OOF-dura, 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://www.ultralytics.com or email Glenn Jocher at glenn.jocher@ultralytics.com.

Requirements

Python 3.8 or later with all requirements.txt dependencies installed, including torch>=1.7. To install run:

$ 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), testing (test.py), inference (detect.py) and export (export.py) on MacOS, Windows, and Ubuntu every 24 hours and on every commit.

@OOF-dura
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My personal requirements are:

  • I want to set img size to be [320,180]
  • set the NN to take 1 channel rather than 3 channels
  • set the NN to take validation at each epoch round.

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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.

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