From 733c0fe23d65438077ec7e16fc89d7ffdb267895 Mon Sep 17 00:00:00 2001 From: allanzelener Date: Tue, 14 Feb 2017 02:08:15 -0500 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index b3b2eac..23ed9e2 100644 --- a/README.md +++ b/README.md @@ -46,7 +46,7 @@ The YAD2K converter currently only supports YOLO_v2 style models, this include t `yad2k.py -p` will produce a plot of the generated Keras model. For example see [yolo.png](model_data/yolo.png). -YAD2K assumes the Keras backend is Tensorflow. In particular for YOLO_v2 models with a passthrough layer, YAD2K uses `tf.space_to_depth` to implement the passthrough layer. The evaluation script also directly uses Tensorflow tensors and uses `tf.non_max_supression` for the final output. +YAD2K assumes the Keras backend is Tensorflow. In particular for YOLO_v2 models with a passthrough layer, YAD2K uses `tf.space_to_depth` to implement the passthrough layer. The evaluation script also directly uses Tensorflow tensors and uses `tf.non_max_suppression` for the final output. `voc_conversion_scripts` contains two scripts for converting the Pascal VOC image dataset with XML annotations to either HDF5 or TFRecords format for easier training with Keras or Tensorflow.