ultralytics / yolov3

YOLOv3 in PyTorch > ONNX > CoreML > TFLite
https://docs.ultralytics.com
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yolov4.yaml #1821

Closed Piplebobble closed 3 years ago

Piplebobble commented 3 years ago

❔Question

Do you have yolov4.yaml or yolov4-tiny resources?

Additional context

github-actions[bot] commented 3 years ago

πŸ‘‹ Hello @Piplebobble, thank you for your interest in YOLOv3 πŸš€! 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 πŸ› Bug Report, please provide screenshots and minimum viable code to reproduce your issue, otherwise we can not help you.

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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

YOLOv3 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

Status

CI CPU testing

If this badge is green, all YOLOv3 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv3 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.

github-actions[bot] commented 3 years ago

πŸ‘‹ Hello, this issue has been automatically marked as stale because it has not had recent activity. Please note it will be closed if no further activity occurs.

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glenn-jocher commented 11 months ago

@Piplebobble hi there! The YOLOv4 and YOLOv4-tiny configurations are available in the YOLOv5 repository maintained by Ultralytics. You can find them there along with the latest updates and resources. Let me know if you need any further assistance.