update latency benchmark graph

latency/generate_graph.py

@@ -2,10 +2,6 @@ import argparse
 import pandas as pd
 import matplotlib.pyplot as plt
 
-def shorten_title(title, max_len=12):
-    """Return a shortened title for plotting."""
-    return title if len(title) <= max_len else title[:max_len] + "..."
-
 def main():
     parser = argparse.ArgumentParser(description="Generate latency graph from CSV.")
     parser.add_argument("--input", required=True, help="Input CSV file")
@@ -22,7 +18,7 @@ def main():
 
     latencies = df["Latency(s)"].values
     titles = df["Title"].values
-    short_titles = [shorten_title(t) for t in titles]
+    short_titles = [t.split('_')[0] for t in titles]
 
     # Compute average
     avg_latency = latencies.mean()
@@ -46,10 +42,10 @@ def main():
     for i, value in enumerate(latencies):
         plt.text(i, value, f"{value:.3f}", ha="center", va="bottom", fontsize=8)
 
-    plt.xticks(rotation=45, ha="right")
-    plt.xlabel("Name")
+    plt.xlabel("Image Cases")
     plt.ylabel("Latency (seconds)")
     plt.title(f"Latency Performance of {args.user}")
+    plt.ylim(1, 300)
 
     plt.tight_layout()
     plt.savefig(args.output)