Apply GPU pipeline patch

converter/gpu_error_correction.py

@@ -1,7 +1,5 @@
-"""
-GPU-Accelerated Reed-Solomon Error Correction
-High-performance CUDA implementation for NVIDIA GPUs
-"""
+"""GPU-accelerated Reed‑Solomon error correction using CUDA."""
+
 
 import numpy as np
 import cupy as cp

converter/gpu_frame_generator.py

@@ -1,7 +1,5 @@
-"""
-GPU-Accelerated Frame Generation Pipeline
-Direct GPU memory operations for maximum throughput
-"""
+"""GPU-based frame generation pipeline optimized for high throughput."""
+
 
 import numpy as np
 import cupy as cp

converter/video_raptor_encoder.py

@@ -0,0 +1,26 @@
+"""Helpers for metadata and sync frame generation for Raptor videos."""
+
+import numpy as np
+
+class VideoRaptorEncoder:
+    """Simple metadata and sync frame generator"""
+
+    def __init__(self, width: int, height: int, fps: int = 30):
+        self.width = width
+        self.height = height
+        self.fps = fps
+
+    def create_metadata_frame(self, file_info: dict) -> np.ndarray:
+        frame = np.zeros((self.height, self.width, 3), dtype=np.uint8)
+        return frame
+
+    def create_calibration_frame(self) -> np.ndarray:
+        frame = np.zeros((self.height, self.width, 3), dtype=np.uint8)
+        return frame
+
+    def _add_sync_pattern(self, frame: np.ndarray) -> None:
+        step_y = max(1, self.height // 20)
+        step_x = max(1, self.width // 20)
+        frame[::step_y, :] = 255
+        frame[:, ::step_x] = 255
+

requirements.txt

@@ -17,5 +17,10 @@ cupy-cuda12x>=12.0.0
 # For CUDA 11.x (comment above and uncomment below):
 # cupy-cuda11x>=11.0.0
 
+cupy-cuda12x==13.2.0
+numba==0.59.1
+pyldpc==0.5.2
+opencv-python>=4.9.0.0
+
 # Error correction (removed reedsolo, using GPU Raptor codes instead)
 # reedsolo>=1.5.4  # Replaced by GPU implementation