Can this repo apply for yolov4 with training or testing with custom dataset?

[ghost]

❔Question

Additional context

Sorry I am very new to computer vision. As title mentioned, it the code applicable for yolov4 instead of yolov3?

[github-actions[bot]]

👋 Hello @CharmFlex, thank you for your interest in 🚀 YOLOv3! 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.

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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):

• Google Colab Notebook with free GPU:
• Kaggle Notebook with free GPU: https://www.kaggle.com/ultralytics/yolov3
• Google Cloud Deep Learning VM. See GCP Quickstart Guide
• Docker Image https://hub.docker.com/r/ultralytics/yolov3. See Docker Quickstart Guide

Status

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[github-actions[bot]]

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.

[glenn-jocher]

@CharmFlex yes, this repo supports YOLOv4 for training and testing with custom datasets. You can easily switch to YOLOv4 by following the instructions in the repository. Let me know if you need any help with the process.