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YOLOv3 dark2lite implementation

Requirement

  • OpenCV 3.4
  • Python 3.6
  • Tensorflow-gpu 1.5.0
  • Keras 2.1.3

Quick start

  • Copy your weight files and the config file in the root directory.

  • The following command will translate the model to keras .h5 model.

python yad2k.py cfg\yolo.cfg yolov3.weights data\yolo.h5
  • Copy the .h5 model to the data/ directory to be able to run the demo.

  • run follow command to show the keras demo. The result can be found in images\res\ floder.

python demo_keras.py
  • run follow command to show the tflite demo.
python demo_tflite.py

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