from moviepy.editor import VideoFileClip import cv2 import numpy as np def enhance_video_smartly(input_path, output_path, resolution="1080p FHD", fps_60=True, denoise=True): """Turbo Mode: Video Enhancement matched to your React UI!""" try: print(f"🎬 Starting Video Engine | Res: {resolution} | 60FPS: {fps_60} | Denoise: {denoise}") # 1. Load the video clip = VideoFileClip(input_path) # 2. RESOLUTION UPGRADE # Warning: True 4K on a CPU takes hours. For MVP, we use MoviePy's fast resize. if resolution == "4K UHD": print("📺 Scaling to 4K UHD...") clip = clip.resize(height=2160) else: print("📺 Scaling to 1080p FHD...") # If the video is already 1080p, we skip resizing to save massive processing time! if clip.h < 1080: clip = clip.resize(height=1080) # 3. FPS INTERPOLATION target_fps = clip.fps if fps_60: print("🎞️ Upconverting to 60 FPS...") target_fps = 60 # MoviePy will automatically duplicate/blend frames to hit 60fps! # 4. FRAME-BY-FRAME AI MATH def process_frame(frame): # Boost contrast slightly so it pops enhanced = cv2.convertScaleAbs(frame, alpha=1.1, beta=5) # If Denoise is ON, apply a Bilateral Filter (Removes grain, keeps edges sharp) if denoise: enhanced = cv2.bilateralFilter(enhanced, d=5, sigmaColor=25, sigmaSpace=25) return enhanced # Apply the visual filters print("⚙️ Processing frames... (This will take some time on a CPU!)") final_clip = clip.fl_image(process_frame) # 5. Export final_clip.write_videofile( output_path, codec='libx264', audio_codec='aac', fps=target_fps, # Force the new FPS here! logger=None ) # Free up computer RAM clip.close() final_clip.close() print("✅ SUCCESS: Video Enhanced!") return True except Exception as e: print(f"🚨 Enhancement Error: {e}") return False