Commit b2a53cf6 by Gencer

fix

parent 97850e31
# BigEarthNet Deep Learning Models With TensorFlow
This repository contains code to use deep learning models, pre-trained on the [BigEarthNet archive](http://bigearth.net/) with TensorFlow, to train new models, and to evaluate pre-trained models. It is recommended to first check the [BigEarthNet Deep Models repository](https://gitlab.tu-berlin.de/rsim/bigearthnet-models).
This repository contains code to use deep learning models, pre-trained on the [BigEarthNet archive](http://bigearth.net/) with TensorFlow, to train new models, and to evaluate pre-trained models. It is recommended to first check the [BigEarthNet Deep Learning Models repository](https://gitlab.tu-berlin.de/rsim/bigearthnet-models).
## Prerequisites
* The definitions of ResNet and VGG models are based on their TensorFlow-Slim implementations. Thus, you need to first download the `nets` folder of [TensorFlow-Slim repository](https://github.com/tensorflow/models/tree/master/research/slim/nets) to the root folder.
......@@ -33,7 +33,7 @@ The script `eval.py` expects a `JSON` configuration file. The needed parameters
* `model_file`: The base name of a pre-trained model snapshot (i.e., checkpoint).
* `test_size`: The size of the test set. If you are using test set suggested in [here](https://gitlab.tu-berlin.de/rsim/bigearthnet-models/), it is already set.
Bugs and Requests
# Bugs and Requests
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If you face a bug or have a feature request, please create an issue:
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