Update transcode_bench.py

transcode_bench.py

@@ -345,7 +345,7 @@ class TranscodeJob:
         """Execute the transcode job."""
         try:
             # Build FFmpeg command
-            cmd = ['ffmpeg', '-y']
+            cmd = ['ffmpeg', '-y', '-nostdin', '-stats']
 
             # Add hardware acceleration args (before input)
             if self.hwaccel_args:
@@ -404,12 +404,54 @@ class TranscodeJob:
     def _parse_fps(self, ffmpeg_output: str) -> float:
         """Parse average FPS from FFmpeg output."""
         try:
-            # Look for the final fps value in output
+            # Look for the last line with fps= (the final summary line)
+            fps_value = None
             for line in ffmpeg_output.split('\n'):
-                if 'fps=' in line:
-                    fps_str = line.split('fps=')[1].split()[0]
-                    return float(fps_str)
-        except:
+                if 'fps=' in line and 'frame=' in line:
+                    # Extract fps value
+                    try:
+                        fps_str = line.split('fps=')[1].split()[0]
+                        fps_value = float(fps_str)
+                    except:
+                        pass
+
+            if fps_value and fps_value > 0:
+                return fps_value
+
+            # Fallback: calculate from time and speed
+            # Look for lines like "time=00:00:30.00" and "speed=2.5x"
+            time_seconds = None
+            speed_multiplier = None
+
+            for line in ffmpeg_output.split('\n'):
+                if 'time=' in line:
+                    try:
+                        time_str = line.split('time=')[1].split()[0]
+                        # Parse time format HH:MM:SS.MS
+                        parts = time_str.split(':')
+                        if len(parts) == 3:
+                            h, m, s = parts
+                            time_seconds = int(h) * 3600 + int(m) * 60 + float(s)
+                    except:
+                        pass
+
+                if 'speed=' in line:
+                    try:
+                        speed_str = line.split('speed=')[1].split('x')[0]
+                        speed_multiplier = float(speed_str)
+                    except:
+                        pass
+
+            # Calculate effective FPS: if encoding 30fps video at 2x speed, effective fps = 60
+            if time_seconds and speed_multiplier and self.end_time and self.start_time:
+                wall_time = self.end_time - self.start_time
+                if wall_time > 0:
+                    # Assume input is 30fps
+                    input_fps = 30.0
+                    frames = time_seconds * input_fps
+                    return frames / wall_time
+
+        except Exception as e:
             pass
         return 0.0
 
@@ -496,8 +538,18 @@ class Benchmark:
         print(f"✓ (avg {avg_fps:.1f} fps)")
         max_streams = 1
 
+        # Estimate maximum possible streams based on single stream performance
+        # If 1 stream achieves X fps, we can theoretically handle X/min_fps streams
+        # Use 80% of theoretical max to account for overhead
+        theoretical_max = int((avg_fps / min_fps) * 0.8)
+
+        # Cap the search space reasonably
+        estimated_max = max(2, min(theoretical_max, 128))
+
+        print(f"Estimated capacity: ~{theoretical_max} streams (searching up to {estimated_max})")
+
         # Binary search bounds
-        low, high = 2, 64
+        low, high = 2, estimated_max
 
         while low <= high:
             mid = (low + high) // 2