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"The goal of this project is to create solution that automate all the preparation process thereby simplifying genraterion of new customized YOLOv4 weights [...]" in Darknet format.

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patryklaskowski/YOLOv4_Automated_Custom_Training

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YOLOv4_Automated_Custom_Training

Click to open in Google Colaboratory:

Open In Collab

How to use:

  1. Open Google Colaboratory Notebook.
  2. Choose GPU runtime.
  3. Run all cells.
  4. Ready to use weights are available on Your Google Drive in ./yolov4 directory.

NOTE: To convert weights from Darknet format to Tensorflow go here: Convert_Darknet_YOLO_to_TensorFlow

Resources:

Made with Darknet Open Image Dataset YOLOv4 GitHub

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"The goal of this project is to create solution that automate all the preparation process thereby simplifying genraterion of new customized YOLOv4 weights [...]" in Darknet format.

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cloud gpu python3 object-detection weights darknet colaboratory google-colab google-colaboratory open-images-dataset yolov4

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