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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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tiny_yolo's Issues

VOCFilesList.txt in training example

Hi,
Thank you for making this keras tiny yolo example available!
Is it possible to include the VOCFilesList.txt to better understand how the retraining works? Looking at the VOC2012 dataset, the file is not included.

_tiny-yolo-preTrained.py_LINE:33
Line:33 LineLABEL_FILE = 'data/VOC2012/VOCFilesList.txt'

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