easy-blury / utils /video_processor.py
Abdo96's picture
Upload 19 files
86e3fda verified
Raw
History Blame Contribute Delete
9.13 kB
"""
Video Processor - Handles video I/O using FFmpeg
Supports frame extraction, video assembly, and audio preservation
"""
import os
import cv2
import json
import shutil
import subprocess
import numpy as np
from pathlib import Path
from typing import Generator, Tuple, Optional, Dict
from dataclasses import dataclass
@dataclass
class VideoInfo:
"""Video metadata"""
width: int
height: int
fps: float
total_frames: int
duration: float
has_audio: bool
codec: str
filepath: str
class VideoProcessor:
"""Handles all video I/O operations"""
def __init__(self, config):
self.config = config
self._verify_ffmpeg()
def _verify_ffmpeg(self):
"""Verify FFmpeg is installed"""
try:
result = subprocess.run(
["ffmpeg", "-version"],
capture_output=True, text=True, timeout=5
)
if result.returncode != 0:
raise RuntimeError("FFmpeg not working properly")
except FileNotFoundError:
raise RuntimeError(
"FFmpeg not found! Install it:\n"
" Ubuntu: sudo apt install ffmpeg\n"
" Mac: brew install ffmpeg\n"
" Windows: choco install ffmpeg"
)
def get_video_info(self, video_path: str) -> VideoInfo:
"""Extract video metadata using ffprobe"""
cmd = [
"ffprobe", "-v", "quiet",
"-print_format", "json",
"-show_format", "-show_streams",
video_path
]
result = subprocess.run(cmd, capture_output=True, text=True)
if result.returncode != 0:
raise ValueError(f"Cannot read video: {video_path}")
probe = json.loads(result.stdout)
# Find video stream
video_stream = None
has_audio = False
for stream in probe.get("streams", []):
if stream["codec_type"] == "video" and video_stream is None:
video_stream = stream
elif stream["codec_type"] == "audio":
has_audio = True
if not video_stream:
raise ValueError("No video stream found")
# Parse FPS
fps_parts = video_stream.get("r_frame_rate", "30/1").split("/")
fps = float(fps_parts[0]) / float(fps_parts[1]) if len(fps_parts) == 2 else 30.0
# Parse frame count
nb_frames = int(video_stream.get("nb_frames", 0))
duration = float(probe.get("format", {}).get("duration", 0))
if nb_frames == 0 and duration > 0:
nb_frames = int(duration * fps)
return VideoInfo(
width=int(video_stream["width"]),
height=int(video_stream["height"]),
fps=fps,
total_frames=nb_frames,
duration=duration,
has_audio=has_audio,
codec=video_stream.get("codec_name", "unknown"),
filepath=video_path
)
def extract_frames_to_dir(
self,
video_path: str,
output_dir: str,
max_height: Optional[int] = None,
progress_callback=None
) -> Tuple[str, VideoInfo]:
"""
Extract all frames as numbered JPEGs (required by SAM 2)
Args:
video_path: Path to input video
output_dir: Directory to save frames
max_height: Optional max height for resizing
progress_callback: Optional callback(current, total)
Returns:
(frames_dir, video_info)
"""
os.makedirs(output_dir, exist_ok=True)
info = self.get_video_info(video_path)
# Build FFmpeg command
cmd = ["ffmpeg", "-y", "-i", video_path]
# Add scaling if needed
if max_height and info.height > max_height:
cmd.extend(["-vf", f"scale=-2:{max_height}"])
# Output as numbered JPEGs
cmd.extend([
"-qscale:v", "2", # High quality JPEG
os.path.join(output_dir, "%06d.jpg")
])
process = subprocess.Popen(
cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE
)
_, stderr = process.communicate()
if process.returncode != 0:
raise RuntimeError(f"Frame extraction failed: {stderr.decode()}")
# Count extracted frames
frame_files = sorted([
f for f in os.listdir(output_dir)
if f.endswith('.jpg')
])
info.total_frames = len(frame_files)
# Update dimensions if resized
if frame_files:
sample = cv2.imread(os.path.join(output_dir, frame_files[0]))
if sample is not None:
info.height, info.width = sample.shape[:2]
print(f"📹 Extracted {info.total_frames} frames ({info.width}x{info.height} @ {info.fps:.1f} FPS)")
return output_dir, info
def read_frames_generator(
self,
video_path: str,
max_height: Optional[int] = None
) -> Generator[Tuple[int, np.ndarray], None, None]:
"""
Stream frames from video using OpenCV (memory efficient)
Yields:
(frame_index, frame_bgr)
"""
cap = cv2.VideoCapture(video_path)
if not cap.isOpened():
raise ValueError(f"Cannot open video: {video_path}")
frame_idx = 0
while True:
ret, frame = cap.read()
if not ret:
break
# Resize if needed
if max_height and frame.shape[0] > max_height:
scale = max_height / frame.shape[0]
new_w = int(frame.shape[1] * scale)
frame = cv2.resize(frame, (new_w, max_height))
yield frame_idx, frame
frame_idx += 1
cap.release()
def assemble_video(
self,
frames_dir: str,
output_path: str,
fps: float,
original_video: Optional[str] = None,
progress_callback=None
) -> str:
"""
Assemble processed frames back into video with optional audio
Args:
frames_dir: Directory with numbered JPEG frames
output_path: Output video path
fps: Frame rate
original_video: Original video to copy audio from
progress_callback: Optional callback
Returns:
Path to output video
"""
temp_video = output_path + ".temp.mp4"
# Step 1: Encode frames to video
cmd = [
"ffmpeg", "-y",
"-framerate", str(fps),
"-i", os.path.join(frames_dir, "%06d.jpg"),
"-c:v", self.config.video.output_codec,
"-crf", str(self.config.video.output_crf),
"-preset", self.config.video.output_preset,
"-pix_fmt", self.config.video.pixel_format,
"-movflags", "+faststart",
]
if original_video:
cmd.append(temp_video)
else:
cmd.append(output_path)
process = subprocess.Popen(
cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE
)
_, stderr = process.communicate()
if process.returncode != 0:
raise RuntimeError(f"Video encoding failed: {stderr.decode()}")
# Step 2: Mux audio from original video
if original_video:
info = self.get_video_info(original_video)
if info.has_audio:
mux_cmd = [
"ffmpeg", "-y",
"-i", temp_video,
"-i", original_video,
"-c:v", "copy",
"-c:a", "aac",
"-map", "0:v:0",
"-map", "1:a:0?",
"-shortest",
output_path
]
process = subprocess.Popen(
mux_cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE
)
_, stderr = process.communicate()
if process.returncode != 0:
# Fallback: just use video without audio
shutil.move(temp_video, output_path)
print("⚠️ Audio muxing failed, output has no audio")
else:
os.remove(temp_video)
print("🔊 Audio preserved from original video")
else:
shutil.move(temp_video, output_path)
file_size_mb = os.path.getsize(output_path) / (1024 * 1024)
print(f"✅ Output video: {output_path} ({file_size_mb:.1f} MB)")
return output_path
def cleanup_temp(self, temp_dir: str):
"""Remove temporary files"""
if os.path.exists(temp_dir):
shutil.rmtree(temp_dir, ignore_errors=True)