481 lines
16 KiB
Go
481 lines
16 KiB
Go
package enhancement
|
|
|
|
import (
|
|
"context"
|
|
"fmt"
|
|
"image"
|
|
"image/color"
|
|
"strings"
|
|
"time"
|
|
|
|
"git.leaktechnologies.dev/stu/VideoTools/internal/logging"
|
|
"git.leaktechnologies.dev/stu/VideoTools/internal/player"
|
|
"git.leaktechnologies.dev/stu/VideoTools/internal/utils"
|
|
)
|
|
|
|
// AIModel interface defines the contract for video enhancement models
|
|
type AIModel interface {
|
|
Name() string
|
|
Type() string // "basicvsr", "realesrgan", "rife", "realcugan"
|
|
Load() error
|
|
ProcessFrame(frame *image.RGBA) (*image.RGBA, error)
|
|
Close() error
|
|
}
|
|
|
|
// SkinToneAnalysis represents detailed skin tone analysis for enhancement
|
|
type SkinToneAnalysis struct {
|
|
DetectedSkinTones []string // List of detected skin tones
|
|
SkinSaturation float64 // 0.0-1.0
|
|
SkinBrightness float64 // 0.0-1.0
|
|
SkinWarmth float64 // -1.0 to 1.0 (negative=cool, positive=warm)
|
|
SkinContrast float64 // 0.0-2.0 (1.0=normal)
|
|
DetectedHemoglobin []string // Detected hemoglobin levels/characteristics
|
|
IsAdultContent bool // Whether adult content was detected
|
|
RecommendedProfile string // Recommended enhancement profile
|
|
}
|
|
|
|
// ContentAnalysis represents video content analysis results
|
|
type ContentAnalysis struct {
|
|
Type string // "general", "anime", "film", "interlaced", "adult"
|
|
Quality float64 // 0.0-1.0
|
|
Resolution int64
|
|
FrameRate float64
|
|
Artifacts []string // ["noise", "compression", "film_grain", "skin_tones"]
|
|
Confidence float64 // AI model confidence in analysis
|
|
SkinTones *SkinToneAnalysis // Detailed skin analysis
|
|
}
|
|
|
|
// EnhancementConfig configures the enhancement process
|
|
type EnhancementConfig struct {
|
|
Model string // AI model name (auto, basicvsr, realesrgan, etc.)
|
|
TargetResolution string // target resolution (match_source, 720p, 1080p, 4K, etc.)
|
|
QualityPreset string // fast, balanced, high
|
|
ContentDetection bool // enable content-aware processing
|
|
GPUAcceleration bool // use GPU acceleration if available
|
|
TileSize int // tile size for memory-efficient processing
|
|
PreviewMode bool // enable real-time preview
|
|
PreserveSkinTones bool // preserve natural skin tones (red/pink) instead of washing out
|
|
SkinToneMode string // off, conservative, balanced, professional
|
|
AdultContent bool // enable adult content optimization
|
|
Parameters map[string]interface{} // model-specific parameters
|
|
}
|
|
|
|
// EnhancementProgress tracks enhancement progress
|
|
type EnhancementProgress struct {
|
|
CurrentFrame int64
|
|
TotalFrames int64
|
|
PercentComplete float64
|
|
CurrentTask string
|
|
EstimatedTime time.Duration
|
|
PreviewImage *image.RGBA
|
|
}
|
|
|
|
// EnhancementCallbacks for progress updates and UI integration
|
|
type EnhancementCallbacks struct {
|
|
OnProgress func(progress EnhancementProgress)
|
|
OnPreviewUpdate func(frame int64, img image.Image)
|
|
OnComplete func(success bool, message string)
|
|
OnError func(err error)
|
|
}
|
|
|
|
// EnhancementModule provides unified video enhancement combining Filters + Upscale
|
|
// with content-aware processing and AI model management
|
|
type EnhancementModule struct {
|
|
player player.VTPlayer // Unified player for frame extraction
|
|
config EnhancementConfig
|
|
callbacks EnhancementCallbacks
|
|
currentModel AIModel
|
|
analysis *ContentAnalysis
|
|
progress EnhancementProgress
|
|
ctx context.Context
|
|
cancel context.CancelFunc
|
|
|
|
// Processing state
|
|
active bool
|
|
inputPath string
|
|
outputPath string
|
|
tempDir string
|
|
}
|
|
|
|
// NewEnhancementModule creates a new enhancement module instance
|
|
func NewEnhancementModule(player player.VTPlayer) *EnhancementModule {
|
|
ctx, cancel := context.WithCancel(context.Background())
|
|
|
|
return &EnhancementModule{
|
|
player: player,
|
|
config: EnhancementConfig{
|
|
Model: "auto",
|
|
TargetResolution: "match_source",
|
|
QualityPreset: "balanced",
|
|
ContentDetection: true,
|
|
GPUAcceleration: true,
|
|
TileSize: 512,
|
|
PreviewMode: false,
|
|
Parameters: make(map[string]interface{}),
|
|
},
|
|
callbacks: EnhancementCallbacks{},
|
|
ctx: ctx,
|
|
cancel: cancel,
|
|
progress: EnhancementProgress{},
|
|
}
|
|
}
|
|
|
|
// AnalyzeContent performs intelligent content analysis using FFmpeg
|
|
func (m *EnhancementModule) AnalyzeContent(path string) (*ContentAnalysis, error) {
|
|
logging.Debug(logging.CatEnhance, "Starting content analysis for: %s", path)
|
|
|
|
// Use FFprobe to get video information
|
|
cmd := utils.CreateCommand(m.ctx, utils.GetFFprobePath(),
|
|
"-v", "error",
|
|
"-select_streams", "v:0",
|
|
"-show_entries", "stream=r_frame_rate,width,height,duration,bit_rate,pix_fmt",
|
|
"-show_entries", "format=format_name,duration",
|
|
path,
|
|
)
|
|
|
|
output, err := cmd.CombinedOutput()
|
|
if err != nil {
|
|
return nil, fmt.Errorf("content analysis failed: %w", err)
|
|
}
|
|
|
|
// Parse FFprobe output to extract video characteristics
|
|
contentAnalysis := &ContentAnalysis{
|
|
Type: m.detectContentType(path, output),
|
|
Quality: m.estimateQuality(output),
|
|
Resolution: 1920, // Default, will be updated from FFprobe output
|
|
FrameRate: 30.0, // Default, will be updated from FFprobe output
|
|
Artifacts: m.detectArtifacts(output),
|
|
Confidence: 0.8, // Default confidence
|
|
}
|
|
|
|
// TODO: Implement advanced skin tone analysis with melanin/hemoglobin detection
|
|
// For now, use default skin analysis
|
|
|
|
// Advanced skin analysis for Phase 2.5
|
|
advancedSkinAnalysis := m.analyzeSkinTonesAdvanced(output)
|
|
|
|
// Update content analysis with advanced skin tone information
|
|
contentAnalysis.SkinTones = advancedSkinAnalysis
|
|
|
|
logging.Debug(logging.CatEnhance, "Advanced skin analysis applied: %+v", advancedSkinAnalysis)
|
|
return contentAnalysis, nil
|
|
}
|
|
|
|
// analyzeSkinTonesAdvanced performs sophisticated skin analysis for Phase 2.5
|
|
func (m *EnhancementModule) analyzeSkinTonesAdvanced(ffprobeOutput []byte) *SkinToneAnalysis {
|
|
// Default analysis for when content detection is disabled
|
|
if !m.config.ContentDetection {
|
|
return &SkinToneAnalysis{
|
|
DetectedSkinTones: []string{"neutral"}, // Default tone
|
|
SkinSaturation: 0.5, // Average saturation
|
|
SkinBrightness: 0.5, // Average brightness
|
|
SkinWarmth: 0.0, // Neutral warmth
|
|
SkinContrast: 1.0, // Normal contrast
|
|
DetectedHemoglobin: []string{"unknown"}, // Would be analyzed from frames
|
|
IsAdultContent: false, // Default until frame analysis
|
|
RecommendedProfile: "balanced", // Default enhancement profile
|
|
}
|
|
}
|
|
|
|
// Parse FFprobe output for advanced skin analysis (placeholder for future use)
|
|
_ = strings.Split(string(ffprobeOutput), "\n")
|
|
|
|
// Initialize advanced analysis structure
|
|
analysis := &SkinToneAnalysis{
|
|
DetectedSkinTones: []string{}, // Will be detected from frames
|
|
SkinSaturation: 0.5, // Average saturation
|
|
SkinBrightness: 0.5, // Average brightness
|
|
SkinWarmth: 0.0, // Neutral warmth
|
|
SkinContrast: 1.0, // Normal contrast
|
|
DetectedHemoglobin: []string{}, // Would be analyzed from frames
|
|
IsAdultContent: false, // Default until frame analysis
|
|
RecommendedProfile: "balanced", // Default enhancement profile
|
|
}
|
|
|
|
// TODO: Advanced frame-by-frame skin tone detection would use:
|
|
// - frameCount for tracking processed frames
|
|
// - skinToneHistogram for tone distribution
|
|
// - totalSaturation, totalBrightness, totalWarmth, totalCoolness for averages
|
|
// This will be implemented when video frame processing is added
|
|
|
|
return analysis
|
|
}
|
|
|
|
// detectContentType determines if content is anime, film, or general
|
|
func (m *EnhancementModule) detectContentType(path string, ffprobeOutput []byte) string {
|
|
// Simple heuristic-based detection
|
|
pathLower := strings.ToLower(path)
|
|
|
|
if strings.Contains(pathLower, "anime") || strings.Contains(pathLower, "manga") {
|
|
return "anime"
|
|
}
|
|
|
|
// TODO: Implement more sophisticated content detection
|
|
// Could use frame analysis, motion patterns, etc.
|
|
return "general"
|
|
}
|
|
|
|
// estimateQuality estimates video quality from technical parameters
|
|
func (m *EnhancementModule) estimateQuality(ffprobeOutput []byte) float64 {
|
|
// TODO: Implement quality estimation based on:
|
|
// - Bitrate vs resolution ratio
|
|
// - Compression artifacts
|
|
// - Frame consistency
|
|
return 0.7 // Default reasonable quality
|
|
}
|
|
|
|
// detectArtifacts identifies compression and quality artifacts
|
|
func (m *EnhancementModule) detectArtifacts(ffprobeOutput []byte) []string {
|
|
// TODO: Implement artifact detection for:
|
|
// - Compression blocking
|
|
// - Color banding
|
|
// - Noise patterns
|
|
// - Film grain
|
|
return []string{"compression"} // Default
|
|
}
|
|
|
|
// SelectModel chooses the optimal AI model based on content analysis
|
|
func (m *EnhancementModule) SelectModel(analysis *ContentAnalysis) string {
|
|
if m.config.Model != "auto" {
|
|
return m.config.Model
|
|
}
|
|
|
|
switch analysis.Type {
|
|
case "anime":
|
|
return "realesrgan-x4plus-anime" // Anime-optimized
|
|
case "film":
|
|
return "basicvsr" // Film restoration
|
|
case "adult":
|
|
// Adult content optimization - preserve natural tones
|
|
if analysis.SkinTones != nil {
|
|
switch m.config.SkinToneMode {
|
|
case "professional", "conservative":
|
|
return "realesrgan-x4plus-skin-preserve"
|
|
case "balanced":
|
|
return "realesrgan-x4plus-skin-enhance"
|
|
default:
|
|
return "realesrgan-x4plus-anime" // Fallback to anime model
|
|
}
|
|
}
|
|
return "realesrgan-x4plus-skin-preserve" // Default for adult content
|
|
default:
|
|
return "realesrgan-x4plus" // General purpose
|
|
}
|
|
}
|
|
|
|
// ProcessVideo processes video through the enhancement pipeline
|
|
func (m *EnhancementModule) ProcessVideo(inputPath, outputPath string) error {
|
|
logging.Debug(logging.CatEnhance, "Starting video enhancement: %s -> %s", inputPath, outputPath)
|
|
|
|
m.inputPath = inputPath
|
|
m.outputPath = outputPath
|
|
m.active = true
|
|
|
|
// Analyze content first
|
|
analysis, err := m.AnalyzeContent(inputPath)
|
|
if err != nil {
|
|
return fmt.Errorf("content analysis failed: %w", err)
|
|
}
|
|
|
|
m.analysis = analysis
|
|
|
|
// Select appropriate model
|
|
modelName := m.SelectModel(analysis)
|
|
logging.Debug(logging.CatEnhance, "Selected model: %s for content type: %s", modelName, analysis.Type)
|
|
|
|
// Load the AI model
|
|
model, err := m.loadModel(modelName)
|
|
if err != nil {
|
|
return fmt.Errorf("failed to load model %s: %w", modelName, err)
|
|
}
|
|
|
|
m.currentModel = model
|
|
defer model.Close()
|
|
|
|
// Load video in unified player
|
|
err = m.player.Load(inputPath, 0)
|
|
if err != nil {
|
|
return fmt.Errorf("failed to load video: %w", err)
|
|
}
|
|
defer m.player.Close()
|
|
|
|
// Get video info
|
|
videoInfo := m.player.GetVideoInfo()
|
|
m.progress.TotalFrames = videoInfo.FrameCount
|
|
m.progress.CurrentFrame = 0
|
|
m.progress.PercentComplete = 0.0
|
|
|
|
// Process frame by frame
|
|
for m.active && m.progress.CurrentFrame < m.progress.TotalFrames {
|
|
select {
|
|
case <-m.ctx.Done():
|
|
return fmt.Errorf("enhancement cancelled")
|
|
default:
|
|
// Extract current frame from player
|
|
frame, err := m.extractCurrentFrame()
|
|
if err != nil {
|
|
logging.Error(logging.CatEnhance, "Frame extraction failed: %v", err)
|
|
continue
|
|
}
|
|
|
|
// Apply AI enhancement to frame
|
|
enhancedFrame, err := m.currentModel.ProcessFrame(frame)
|
|
if err != nil {
|
|
logging.Error(logging.CatEnhance, "Frame enhancement failed: %v", err)
|
|
continue
|
|
}
|
|
|
|
// Update progress
|
|
m.progress.CurrentFrame++
|
|
m.progress.PercentComplete = float64(m.progress.CurrentFrame) / float64(m.progress.TotalFrames)
|
|
m.progress.CurrentTask = fmt.Sprintf("Processing frame %d/%d", m.progress.CurrentFrame, m.progress.TotalFrames)
|
|
|
|
// Send preview update if enabled
|
|
if m.config.PreviewMode && m.callbacks.OnPreviewUpdate != nil {
|
|
m.callbacks.OnPreviewUpdate(m.progress.CurrentFrame, enhancedFrame)
|
|
}
|
|
|
|
// Send progress update
|
|
if m.callbacks.OnProgress != nil {
|
|
m.callbacks.OnProgress(m.progress)
|
|
}
|
|
}
|
|
}
|
|
|
|
// Reassemble enhanced video from frames
|
|
err = m.reassembleEnhancedVideo()
|
|
if err != nil {
|
|
return fmt.Errorf("video reassembly failed: %w", err)
|
|
}
|
|
|
|
// Call completion callback
|
|
if m.callbacks.OnComplete != nil {
|
|
m.callbacks.OnComplete(true, fmt.Sprintf("Enhancement completed using %s model", modelName))
|
|
}
|
|
|
|
m.active = false
|
|
logging.Debug(logging.CatEnhance, "Video enhancement completed successfully")
|
|
return nil
|
|
}
|
|
|
|
// loadModel instantiates and returns an AI model instance
|
|
func (m *EnhancementModule) loadModel(modelName string) (AIModel, error) {
|
|
switch modelName {
|
|
case "basicvsr":
|
|
return NewBasicVSRModel(m.config.Parameters)
|
|
case "realesrgan-x4plus":
|
|
return NewRealESRGANModel(m.config.Parameters)
|
|
case "realesrgan-x4plus-anime":
|
|
return NewRealESRGANAnimeModel(m.config.Parameters)
|
|
default:
|
|
return nil, fmt.Errorf("unsupported model: %s", modelName)
|
|
}
|
|
}
|
|
|
|
// Placeholder model constructors - will be implemented in Phase 2.2
|
|
func NewBasicVSRModel(params map[string]interface{}) (AIModel, error) {
|
|
return &placeholderModel{name: "basicvsr"}, nil
|
|
}
|
|
|
|
func NewRealESRGANModel(params map[string]interface{}) (AIModel, error) {
|
|
return &placeholderModel{name: "realesrgan-x4plus"}, nil
|
|
}
|
|
|
|
func NewRealESRGANAnimeModel(params map[string]interface{}) (AIModel, error) {
|
|
return &placeholderModel{name: "realesrgan-x4plus-anime"}, nil
|
|
}
|
|
|
|
// placeholderModel implements AIModel interface for development
|
|
type placeholderModel struct {
|
|
name string
|
|
}
|
|
|
|
func (p *placeholderModel) Name() string {
|
|
return p.name
|
|
}
|
|
|
|
func (p *placeholderModel) Type() string {
|
|
return "placeholder"
|
|
}
|
|
|
|
func (p *placeholderModel) Load() error {
|
|
return nil
|
|
}
|
|
|
|
func (p *placeholderModel) ProcessFrame(frame *image.RGBA) (*image.RGBA, error) {
|
|
// TODO: Implement actual AI processing
|
|
return frame, nil
|
|
}
|
|
|
|
func (p *placeholderModel) Close() error {
|
|
return nil
|
|
}
|
|
|
|
// extractCurrentFrame extracts the current frame from the unified player
|
|
func (m *EnhancementModule) extractCurrentFrame() (*image.RGBA, error) {
|
|
// Interface with the unified player's frame extraction
|
|
// The unified player should provide frame access methods
|
|
|
|
// For now, simulate frame extraction from player
|
|
// In full implementation, this would call m.player.ExtractCurrentFrame()
|
|
|
|
// Create a dummy frame for testing
|
|
frame := image.NewRGBA(image.Rect(0, 0, 1920, 1080))
|
|
|
|
// Fill with a test pattern
|
|
for y := 0; y < 1080; y++ {
|
|
for x := 0; x < 1920; x++ {
|
|
// Create a simple gradient pattern
|
|
frame.Set(x, y, color.RGBA{
|
|
R: uint8(x / 8),
|
|
G: uint8(y / 8),
|
|
B: uint8(255),
|
|
A: 255,
|
|
})
|
|
}
|
|
}
|
|
|
|
return frame, nil
|
|
}
|
|
|
|
// reassembleEnhancedVideo reconstructs the video from enhanced frames
|
|
func (m *EnhancementModule) reassembleEnhancedVideo() error {
|
|
// This will use FFmpeg to reconstruct video from enhanced frames
|
|
// Implementation will use the temp directory for frame storage
|
|
return fmt.Errorf("video reassembly not yet implemented")
|
|
}
|
|
|
|
// Cancel stops the enhancement process
|
|
func (m *EnhancementModule) Cancel() {
|
|
if m.active {
|
|
m.active = false
|
|
m.cancel()
|
|
logging.Debug(logging.CatEnhance, "Enhancement cancelled")
|
|
}
|
|
}
|
|
|
|
// SetConfig updates the enhancement configuration
|
|
func (m *EnhancementModule) SetConfig(config EnhancementConfig) {
|
|
m.config = config
|
|
}
|
|
|
|
// GetConfig returns the current enhancement configuration
|
|
func (m *EnhancementModule) GetConfig() EnhancementConfig {
|
|
return m.config
|
|
}
|
|
|
|
// SetCallbacks sets the enhancement progress callbacks
|
|
func (m *EnhancementModule) SetCallbacks(callbacks EnhancementCallbacks) {
|
|
m.callbacks = callbacks
|
|
}
|
|
|
|
// GetProgress returns current enhancement progress
|
|
func (m *EnhancementModule) GetProgress() EnhancementProgress {
|
|
return m.progress
|
|
}
|
|
|
|
// IsActive returns whether enhancement is currently running
|
|
func (m *EnhancementModule) IsActive() bool {
|
|
return m.active
|
|
}
|