sbrl-github/research-rainfallradar
1
0
Fork 0
mirror of https://github.com/sbrl/research-rainfallradar synced 2024-12-22 14:15:01 +00:00
Code Issues Projects Releases Packages Wiki Activity

dlr: steps per execution is ugh

Browse source
This commit is contained in:
Starbeamrainbowlabs 2023-05-04 19:54:51 +01:00
parent f0a2e7c450
commit 214afcc914
Signed by: sbrl
GPG key ID: 1BE5172E637709C2
1 changed files with 3 additions and 2 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

5
aimodel/src/deeplabv3_plus_test_rainfall.py
View file

@ -52,7 +52,8 @@ LEARNING_RATE = float(os.environ["LEARNING_RATE"]) if "LEARNING_RATE" in os.envi
WATER_THRESHOLD = float(os.environ["WATER_THRESHOLD"]) if "WATER_THRESHOLD" in os.environ else 0.1
UPSAMPLE = int(os.environ["UPSAMPLE"]) if "UPSAMPLE" in os.environ else 2
STEPS_PER_EXECUTION = int(os.environ["STEPS_PER_EXECUTION"]) if "STEPS_PER_EXECUTION" in os.environ else 16
STEPS_PER_EXECUTION = int(os.environ["STEPS_PER_EXECUTION"]) if "STEPS_PER_EXECUTION" in os.environ else 1
JIT_COMPILE = True if "JIT_COMPILE" in os.environ else False
DIR_OUTPUT=os.environ["DIR_OUTPUT"] if "DIR_OUTPUT" in os.environ else f"output/{datetime.utcnow().date().isoformat()}_deeplabv3plus_rainfall_TEST"
@ -158,7 +159,7 @@ if PATH_CHECKPOINT is None:
x = backbone.get_layer("conv4_block6_2_relu").output
x = DilatedSpatialPyramidPooling(x)
input_a = tf.keras.layers.UpSampling2D(
size=(image_size // 4 // x.shape[1] * 2, image_size // 4 // x.shape[2] * 2), # <--- UPSAMPLE after pyramid
interpolation="bilinear",