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Implementation of tiny yolo object detector in keras using pretrained weights

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Tiny YOLO with pretrained weights in Keras

Implementation of tiny yolo object detector in Keras using pretrained weights

Dependencies:

  1. Python 3.5
  2. Keras with Tensorflow backend
  3. OpenCV 3

Get yolov2-tiny-voc.weights(Tiny YOLO - VOC 2007+2012) from https://pjreddie.com/media/files/yolov2-tiny-voc.weights or (https://pjreddie.com/darknet/yolov2/)

Place pretrained weights along with tiny-yolo-preTrained.py.

Run using:

  python tiny-yolo-preTrained.py <imagePath>

Example : $ python tiny-yolo-preTrained.py dog.jpg

Output:

Detection probabilities and bounding boxes [xmin,ymin,xmax,ymax] are printed to console.

Image with bounding box and detection drawn is shown in a window.

Reference:

https://github.com/experiencor/basic-yolo-keras

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