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Starbeamrainbowlabs 2023-03-23 18:09:52 +00:00
parent 81cad8e6b4
commit 4a4df380e3
Signed by: sbrl
GPG key ID: 1BE5172E637709C2
1 changed files with 26 additions and 20 deletions
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46
aimodel/src/plot_metrics.py
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@ -14,27 +14,33 @@ def plot_metric(ax, train, val, name, dir_output):
# plt.savefig(os.path.join(dir_output, f"{name}.png"))
# plt.close()
FILEPATH_INPUT = os.environ["INPUT"]
DIRPATH_OUTPUT = os.environ["OUTPUT"] if "OUTPUT" in os.environ else os.getcwd()
def plot_metrics(filepath_input, dirpath_output):
df = pd.read_csv(filepath_input, sep="\t")
fig = plt.figure(figsize=(10,13))
for i, colname in enumerate(filter(lambda colname: colname != "epoch" and not colname.startswith("val_"), df.columns.values.tolist())):
train = df[colname]
val = df[f"val_{colname}"]
colname_display = colname.replace("metric_dice_coefficient", "dice coefficient") \
.replace("one_hot_mean_iou", "mean iou")
ax = fig.add_subplot(3, 2, i+1)
plot_metric(ax, train, val, name=colname_display, dir_output=dirpath_output)
fig.tight_layout()
target=os.path.join(dirpath_output, f"metrics.png")
plt.savefig(target)
print(f">>> Saved to {target}")
df = pd.read_csv(FILEPATH_INPUT, sep="\t")
fig = plt.figure(figsize=(10,13))
for i, colname in enumerate(filter(lambda colname: colname != "epoch" and not colname.startswith("val_"), df.columns.values.tolist())):
train = df[colname]
val = df[f"val_{colname}"]
if __name__ == "__main__":
FILEPATH_INPUT = os.environ["INPUT"]
DIRPATH_OUTPUT = os.environ["OUTPUT"] if "OUTPUT" in os.environ else os.getcwd()
colname_display = colname.replace("metric_dice_coefficient", "dice coefficient") \
.replace("one_hot_mean_iou", "mean iou")
plot_metrics(FILEPATH_INPUT, DIRPATH_OUTPUT)
ax = fig.add_subplot(3, 2, i+1)
plot_metric(ax, train, val, name=colname_display, dir_output=DIRPATH_OUTPUT)
fig.tight_layout()
target=os.path.join(DIRPATH_OUTPUT, f"metrics.png")
plt.savefig(target)
print(f">>> Saved to {target}")