Add overall.py from cb_results
Browse files- cb_results/overall.py +32 -0
cb_results/overall.py
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import pandas as pd
|
| 2 |
+
|
| 3 |
+
def main():
|
| 4 |
+
nisqa_df = pd.read_csv("NISQA_results.csv")
|
| 5 |
+
|
| 6 |
+
noisiness = nisqa_df["noi_pred"].mean()
|
| 7 |
+
coloration = nisqa_df["col_pred"].mean()
|
| 8 |
+
discontinuity = nisqa_df["dis_pred"].mean()
|
| 9 |
+
loudness = nisqa_df["loud_pred"].mean()
|
| 10 |
+
mos_v1 = nisqa_df["mos_pred"].mean()
|
| 11 |
+
|
| 12 |
+
mos_df = pd.read_csv("NISQA_results_mos.csv")
|
| 13 |
+
mos_v2 = mos_df["mos_pred"].mean()
|
| 14 |
+
|
| 15 |
+
cossim_df = pd.read_csv("cossim.csv")
|
| 16 |
+
cossim = cossim_df["cossim"].mean()
|
| 17 |
+
|
| 18 |
+
metrics_df = pd.read_csv("metadata.metrics.csv", sep="|")
|
| 19 |
+
metrics_df.columns = ["uttr", "ttfa", "ttft", "rtf"]
|
| 20 |
+
avg_row = metrics_df[metrics_df["uttr"] == "avg"]
|
| 21 |
+
|
| 22 |
+
ttfa = avg_row["ttfa"].iloc[0]
|
| 23 |
+
ttft = avg_row["ttft"].iloc[0]
|
| 24 |
+
rtf = avg_row["rtf"].iloc[0]
|
| 25 |
+
|
| 26 |
+
l = [cossim, mos_v2, mos_v1, noisiness, discontinuity, coloration, loudness, ttfa, ttft, rtf]
|
| 27 |
+
_l = list(map(lambda x: str(x), l))
|
| 28 |
+
|
| 29 |
+
print(",".join(_l))
|
| 30 |
+
|
| 31 |
+
if __name__ == "__main__":
|
| 32 |
+
main()
|