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#!/usr/bin/env python3
"""
Smoke test for two-stage video processing
THIS IS A NEW FILE - Basic end-to-end test
Tests quality profiles, frame count preservation, and basic functionality
"""
import os
import sys
import cv2
import numpy as np
import tempfile
import logging
import time
from pathlib import Path
# Add project root to path
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from processing.two_stage.two_stage_processor import TwoStageProcessor
from models.loaders.matanyone_loader import MatAnyoneLoader
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
def create_test_video(path: str, frames: int = 30, fps: int = 30):
"""Create a simple test video with a moving circle (simulating a person)"""
width, height = 640, 480
fourcc = cv2.VideoWriter_fourcc(*'mp4v')
out = cv2.VideoWriter(path, fourcc, fps, (width, height))
if not out.isOpened():
raise RuntimeError(f"Failed to create test video at {path}")
for i in range(frames):
# Create frame with moving white circle on dark background
frame = np.zeros((height, width, 3), dtype=np.uint8)
frame[:] = (30, 30, 30) # Dark gray background
# Draw a moving circle (simulating a person)
x = int(width/2 + 100 * np.sin(i * 0.2))
y = int(height/2 + 50 * np.cos(i * 0.15))
cv2.circle(frame, (x, y), 60, (255, 255, 255), -1)
# Add some variation to simulate clothing
cv2.circle(frame, (x, y-20), 20, (200, 100, 100), -1) # "shirt"
out.write(frame)
out.release()
# Verify the video was created
cap = cv2.VideoCapture(path)
actual_frames = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
cap.release()
logger.info(f"Created test video: {path} ({actual_frames} frames)")
return actual_frames
def verify_output_video(path: str, expected_frames: int) -> bool:
"""Verify output video exists and has correct frame count"""
if not os.path.exists(path):
logger.error(f"Output video not found: {path}")
return False
file_size = os.path.getsize(path)
if file_size < 1000:
logger.error(f"Output video too small: {file_size} bytes")
return False
cap = cv2.VideoCapture(path)
if not cap.isOpened():
logger.error(f"Cannot open output video: {path}")
return False
actual_frames = 0
while True:
ret, frame = cap.read()
if not ret:
break
actual_frames += 1
cap.release()
if actual_frames != expected_frames:
logger.error(f"Frame count mismatch: got {actual_frames}, expected {expected_frames}")
return False
logger.info(f"Output verified: {actual_frames} frames, {file_size:,} bytes")
return True
def test_quality_profiles():
"""Test that different quality profiles produce different results"""
logger.info("="*60)
logger.info("Testing Quality Profiles")
logger.info("="*60)
with tempfile.TemporaryDirectory() as tmpdir:
tmpdir = Path(tmpdir)
# Create test video
test_video = tmpdir / "test_input.mp4"
expected_frames = create_test_video(str(test_video), frames=30, fps=30)
# Create a simple background
background = np.ones((480, 640, 3), dtype=np.uint8) * 128 # Gray
background[:240, :] = (100, 150, 200) # Blue top half
results = {}
for quality in ["speed", "balanced", "max"]:
logger.info(f"\nTesting quality mode: {quality}")
logger.info("-" * 40)
# Set quality environment variable
os.environ["BFX_QUALITY"] = quality
# Initialize processor (without models for basic test)
processor = TwoStageProcessor(
sam2_predictor=None, # Will use fallback
matanyone_model=None # Will use fallback
)
# Process video
output_path = tmpdir / f"output_{quality}.mp4"
start_time = time.time()
result, message = processor.process_full_pipeline(
video_path=str(test_video),
background=background,
output_path=str(output_path),
key_color_mode="auto",
chroma_settings=None,
progress_callback=lambda p, d: logger.debug(f"{p:.1%}: {d}"),
stop_event=None
)
process_time = time.time() - start_time
if result is None:
logger.error(f"Processing failed for {quality}: {message}")
continue
# Verify output
if verify_output_video(result, expected_frames):
results[quality] = {
"success": True,
"time": process_time,
"frames_refined": processor.frames_refined,
"total_frames": processor.total_frames_processed
}
logger.info(f"✓ {quality}: {process_time:.2f}s, "
f"{processor.frames_refined}/{processor.total_frames_processed} refined")
else:
results[quality] = {"success": False}
logger.error(f"✗ {quality}: verification failed")
# Summary
logger.info("\n" + "="*60)
logger.info("SUMMARY")
logger.info("="*60)
all_passed = all(r.get("success", False) for r in results.values())
if all_passed:
# Check that quality modes are actually different
if len(results) >= 2:
times = [r["time"] for r in results.values() if "time" in r]
refined_counts = [r["frames_refined"] for r in results.values() if "frames_refined" in r]
if len(set(refined_counts)) > 1:
logger.info("✓ Quality profiles show different refinement counts")
else:
logger.warning("⚠ All quality profiles refined same number of frames")
if max(times) - min(times) > 0.1:
logger.info("✓ Quality profiles show different processing times")
else:
logger.warning("⚠ Quality profiles have similar processing times")
for quality, result in results.items():
if result.get("success"):
logger.info(f"✓ {quality:8s}: {result['time']:.2f}s, "
f"{result['frames_refined']}/{result['total_frames']} frames refined")
else:
logger.info(f"✗ {quality:8s}: FAILED")
return all_passed
def test_frame_preservation():
"""Test that no frames are lost during processing"""
logger.info("\n" + "="*60)
logger.info("Testing Frame Preservation")
logger.info("="*60)
with tempfile.TemporaryDirectory() as tmpdir:
tmpdir = Path(tmpdir)
# Test different frame counts
test_cases = [10, 25, 30, 60]
for frame_count in test_cases:
logger.info(f"\nTesting with {frame_count} frames...")
test_video = tmpdir / f"test_{frame_count}.mp4"
expected = create_test_video(str(test_video), frames=frame_count, fps=30)
os.environ["BFX_QUALITY"] = "speed" # Fast for this test
processor = TwoStageProcessor()
output_path = tmpdir / f"output_{frame_count}.mp4"
result, message = processor.process_full_pipeline(
video_path=str(test_video),
background=np.ones((480, 640, 3), dtype=np.uint8) * 100,
output_path=str(output_path),
key_color_mode="green",
)
if result and verify_output_video(result, expected):
logger.info(f"✓ {frame_count} frames: preserved correctly")
else:
logger.error(f"✗ {frame_count} frames: FAILED")
return False
logger.info("\n✓ All frame preservation tests passed!")
return True
def main():
"""Run all smoke tests"""
logger.info("\n" + "🔥"*20)
logger.info("BACKGROUNDFX PRO SMOKE TESTS")
logger.info("🔥"*20)
tests_passed = []
# Test 1: Quality profiles
try:
tests_passed.append(test_quality_profiles())
except Exception as e:
logger.error(f"Quality profile test crashed: {e}")
tests_passed.append(False)
# Test 2: Frame preservation
try:
tests_passed.append(test_frame_preservation())
except Exception as e:
logger.error(f"Frame preservation test crashed: {e}")
tests_passed.append(False)
# Final result
logger.info("\n" + "="*60)
if all(tests_passed):
logger.info("✅ ALL SMOKE TESTS PASSED!")
logger.info("="*60)
return 0
else:
logger.error("❌ SOME TESTS FAILED")
logger.info("="*60)
return 1
if __name__ == "__main__":
exit(main()) |