From 7e5a4d7dd79399f98247a14f46c1d934549c9fb2 Mon Sep 17 00:00:00 2001
From: "Daniel.Frisinghelli" <daniel.frisinghelli@eurac.edu>
Date: Tue, 19 Jan 2021 16:58:13 +0100
Subject: [PATCH] Removed some options for network evaluation.
---
pysegcnn/main/config.py | 18 +++---------------
1 file changed, 3 insertions(+), 15 deletions(-)
diff --git a/pysegcnn/main/config.py b/pysegcnn/main/config.py
index 8bf71be..1e4c5a9 100644
--- a/pysegcnn/main/config.py
+++ b/pysegcnn/main/config.py
@@ -370,6 +370,7 @@ tlda_config = {
# the evaluation configuration
eval_config = {
+
# -------------------------------------------------------------------------
# ----------------------------- Evaluation --------------------------------
# -------------------------------------------------------------------------
@@ -377,8 +378,8 @@ eval_config = {
# these options are only used for evaluating a trained model using
# pysegcnn.main.eval.py
- # the model to evaluate
- 'state_file': '',
+ # the model(s) to evaluate
+ 'state_files': [''],
# Evaluate on datasets defined at training time ---------------------------
@@ -446,25 +447,12 @@ eval_config = {
# split_mode="date"
'predict_scene': True,
- # whether to save plots of (input, ground truth, prediction) for each
- # sample in the train/validation/test dataset to disk, applies if
- # predict_scene=False
- # output path is: pysegcnn/main/_samples/
- 'plot_samples': False,
-
# whether to save plots of (input, ground truth, prediction) for each scene
# in the train/validation/test dataset to disk, applies if
# predict_scene=True
# output path is: pysegcnn/main/_scenes/
'plot_scenes': True,
- # whether to create an animation of (input, ground truth, prediction) for
- # the scenes in the train/validation/test dataset. Useful when predicting a
- # time-series.
- # NOTE: this option only works if predict_scene=True and plot_scenes=True
- # output path is: pysegcnn/main/_animations/
- 'animate': False,
-
# plot_bands defines the bands used to plot a false color composite of
# the input scene: red': bands[0], green': bands[1], blue': bands[2]
'plot_bands': ['nir', 'red', 'green'],
--
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