sbrl-github/research-rainfallradar
1
0
Fork 0
mirror of https://github.com/sbrl/research-rainfallradar synced 2024-11-22 09:13:01 +00:00
Code Issues Projects Releases Packages Wiki Activity

dataset_mono: normalise heightmap

Browse source
This commit is contained in:
Starbeamrainbowlabs 2022-12-08 16:10:34 +00:00
parent d997157f55
commit 08046340f4
Signed by: sbrl
GPG key ID: 1BE5172E637709C2
1 changed files with 4 additions and 0 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

4
aimodel/src/lib/dataset/dataset_mono.py
View file

@ -28,6 +28,10 @@ def parse_item(metadata, shape_water_desired=[100,100], water_threshold=0.1, wat
if heightmap is not None: if heightmap is not None:
heightmap = tf.expand_dims(heightmap, axis=-1) heightmap = tf.expand_dims(heightmap, axis=-1)
# NORMALLY, this wouldn't work 'cause you'd need to know the max of ALL frames, but here we only have a single frame.
heightmap_max = tf.math.reduce_max(heightmap)
heightmap_min = tf.math.reduce_min(tf.where(tf.math.less(heightmap, -500), a, tf.fill(heightmap.shape, 0)))
heightmap = (heightmap - heightmap_min) / heightmap_max
def parse_item_inner(item): def parse_item_inner(item):
parsed = tf.io.parse_single_example(item, features={ parsed = tf.io.parse_single_example(item, features={