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webp_benchmark_test.go
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package lilliput
import (
"errors"
"fmt"
"math"
"os"
"path/filepath"
"testing"
"time"
)
type encoderConfig struct {
method int // 0-6, where 0 is fastest and 6 is best compression
quality int // 0-100
filterStrength int // 0-100
filterType int // 0-1
autofilter int // 0-1
partitions int // 0-3
segments int // 1-4
preprocessing int // 0-1
threads int // 1-n
palette int // 0-1
}
func (c encoderConfig) String() string {
return fmt.Sprintf("m%d_q%d_fs%d_ft%d_af%d_p%d_s%d_pp%d_t%d_pl%d",
c.method, c.quality, c.filterStrength, c.filterType,
c.autofilter, c.partitions, c.segments, c.preprocessing, c.threads, c.palette)
}
type benchmarkResult struct {
config encoderConfig
duration time.Duration
outputSize int64
psnr float64
}
var testConfigs = []encoderConfig{
// Default settings
{method: 4, quality: 80, filterStrength: 60, filterType: 1, autofilter: 0, partitions: 0, segments: 4, preprocessing: 0, threads: 0, palette: 0},
// Ultra fast encoding - WebP optimized
{method: 0, quality: 60, filterStrength: 20, filterType: 0, autofilter: 0, partitions: 0, segments: 1, preprocessing: 0, threads: 1, palette: 0},
{method: 1, quality: 60, filterStrength: 20, filterType: 0, autofilter: 0, partitions: 0, segments: 1, preprocessing: 0, threads: 1, palette: 0},
// Ultra fast encoding - GIF optimized (with palette)
{method: 0, quality: 60, filterStrength: 20, filterType: 0, autofilter: 0, partitions: 0, segments: 1, preprocessing: 0, threads: 1, palette: 1},
// Fast encoding, lower quality
{method: 0, quality: 75, filterStrength: 20, filterType: 0, autofilter: 0, partitions: 0, segments: 1, preprocessing: 0, threads: 1, palette: 0},
{method: 1, quality: 75, filterStrength: 20, filterType: 0, autofilter: 0, partitions: 0, segments: 1, preprocessing: 0, threads: 1, palette: 0},
// Fast encoding - GIF optimized (with palette)
{method: 0, quality: 75, filterStrength: 20, filterType: 0, autofilter: 0, partitions: 0, segments: 1, preprocessing: 0, threads: 1, palette: 1},
// Intermediate method (2)
{method: 2, quality: 75, filterStrength: 30, filterType: 0, autofilter: 0, partitions: 0, segments: 1, preprocessing: 0, threads: 1, palette: 0},
// Balanced encoding
{method: 3, quality: 80, filterStrength: 40, filterType: 1, autofilter: 1, partitions: 1, segments: 2, preprocessing: 1, threads: 1, palette: 0},
{method: 4, quality: 80, filterStrength: 40, filterType: 1, autofilter: 1, partitions: 1, segments: 2, preprocessing: 1, threads: 1, palette: 0},
// High quality encoding
{method: 5, quality: 90, filterStrength: 60, filterType: 1, autofilter: 1, partitions: 2, segments: 3, preprocessing: 1, threads: 1, palette: 0},
{method: 6, quality: 90, filterStrength: 60, filterType: 1, autofilter: 1, partitions: 2, segments: 3, preprocessing: 1, threads: 1, palette: 0},
// Segment count variations (using method 4 as baseline)
{method: 4, quality: 80, filterStrength: 40, filterType: 1, autofilter: 1, partitions: 1, segments: 1, preprocessing: 1, threads: 1, palette: 0},
{method: 4, quality: 80, filterStrength: 40, filterType: 1, autofilter: 1, partitions: 1, segments: 3, preprocessing: 1, threads: 1, palette: 0},
{method: 4, quality: 80, filterStrength: 40, filterType: 1, autofilter: 1, partitions: 1, segments: 4, preprocessing: 1, threads: 1, palette: 0},
}
// calculatePSNR calculates the Peak Signal-to-Noise Ratio between original and transformed first frames
func calculatePSNR(origBuffer, transBuffer *Framebuffer) (float64, error) {
if origBuffer == nil || transBuffer == nil {
return 0, errors.New("nil buffer")
}
if len(origBuffer.buf) != len(transBuffer.buf) {
return 0, fmt.Errorf("buffer size mismatch: %d != %d", len(origBuffer.buf), len(transBuffer.buf))
}
var mse float64
n := len(origBuffer.buf)
// Calculate MSE across all color channels
for i := 0; i < n; i++ {
diff := float64(origBuffer.buf[i]) - float64(transBuffer.buf[i])
mse += diff * diff
}
mse /= float64(n)
if mse == 0 {
return math.Inf(1), nil // Perfect match
}
// Calculate PSNR using max pixel value of 255 for 8-bit images
psnr := 20*math.Log10(255) - 10*math.Log10(mse)
return psnr, nil
}
func BenchmarkWebPEncoding(b *testing.B) {
testCases := []struct {
name string
inputPath string
}{
{"AnimatedWebP", "testdata/animated-webp-supported.webp"},
}
for _, tc := range testCases {
b.Run(tc.name, func(b *testing.B) {
// Read input file
inputData, err := os.ReadFile(tc.inputPath)
if err != nil {
b.Fatalf("Failed to read input file: %v", err)
}
// Create output directory if it doesn't exist
outDir := filepath.Join("testdata", "benchmark_out")
if err := os.MkdirAll(outDir, 0755); err != nil {
b.Fatalf("Failed to create output directory: %v", err)
}
for _, config := range testConfigs {
b.Run(config.String(), func(b *testing.B) {
var decoder Decoder
var err error
// Create appropriate decoder based on input type
if filepath.Ext(tc.inputPath) == ".gif" {
decoder, err = newGifDecoder(inputData)
} else {
decoder, err = newWebpDecoder(inputData)
}
if err != nil {
b.Fatalf("Failed to create decoder: %v", err)
}
// defer decoder.Close()
// Get original dimensions and first frame for PSNR calculation
header, err := decoder.Header()
if err != nil {
b.Fatalf("Failed to get header: %v", err)
}
// Create framebuffer for original image
origBuffer := NewFramebuffer(header.Width(), header.Height())
defer origBuffer.Close()
// Create framebuffer for transformed image
transBuffer := NewFramebuffer(header.Width(), header.Height())
defer transBuffer.Close()
// Initialize framebuffers based on pixel type
if header.PixelType().Channels() == 4 {
if err := origBuffer.Create4Channel(header.Width(), header.Height()); err != nil {
b.Fatalf("Failed to create original buffer: %v", err)
}
if err := transBuffer.Create4Channel(header.Width(), header.Height()); err != nil {
b.Fatalf("Failed to create transformed buffer: %v", err)
}
} else {
if err := origBuffer.Create3Channel(header.Width(), header.Height()); err != nil {
b.Fatalf("Failed to create original buffer: %v", err)
}
if err := transBuffer.Create3Channel(header.Width(), header.Height()); err != nil {
b.Fatalf("Failed to create transformed buffer: %v", err)
}
}
// Decode first frame of original image
if err := decoder.DecodeTo(origBuffer); err != nil {
b.Fatalf("Failed to decode original frame: %v", err)
}
options := &ImageOptions{
FileType: ".webp",
NormalizeOrientation: true,
Width: header.Width(),
Height: header.Height(),
ResizeMethod: ImageOpsNoResize,
EncodeTimeout: time.Second * 300,
EncodeOptions: map[int]int{
WebpQuality: config.quality,
WebpMethod: config.method,
WebpFilterStrength: config.filterStrength,
WebpFilterType: config.filterType,
WebpAutofilter: config.autofilter,
WebpPartitions: config.partitions,
WebpSegments: config.segments,
WebpPreprocessing: config.preprocessing,
WebpThreadLevel: config.threads,
WebpPalette: config.palette,
},
}
dstBuf := make([]byte, destinationBufferSize)
ops := NewImageOps(8192)
defer ops.Close()
b.ResetTimer()
var lastOutput []byte
for i := 0; i < b.N; i++ {
output, err := ops.Transform(decoder, options, dstBuf)
if err != nil {
b.Fatalf("Transform failed: %v", err)
}
lastOutput = output
// Reset decoder for next iteration
decoder.Close()
if filepath.Ext(tc.inputPath) == ".gif" {
decoder, _ = newGifDecoder(inputData)
} else {
decoder, _ = newWebpDecoder(inputData)
}
}
b.StopTimer()
// Save the last output for analysis
outPath := filepath.Join(outDir, fmt.Sprintf("%s_%s.webp",
filepath.Base(tc.inputPath), config.String()))
if err := os.WriteFile(outPath, lastOutput, 0644); err != nil {
b.Fatalf("Failed to write output file: %v", err)
}
// Record results
fileInfo, err := os.Stat(outPath)
if err != nil {
b.Fatalf("Failed to get output file info: %v", err)
}
// Calculate PSNR using the last output
transformedDecoder, err := newWebpDecoder(lastOutput)
if err != nil {
b.Fatalf("Failed to create decoder for transformed image: %v", err)
}
defer transformedDecoder.Close()
// Decode first frame of transformed image
if err := transformedDecoder.DecodeTo(transBuffer); err != nil {
b.Fatalf("Failed to decode transformed frame: %v", err)
}
psnr, err := calculatePSNR(origBuffer, transBuffer)
if err != nil {
b.Fatalf("Failed to calculate PSNR: %v", err)
}
result := benchmarkResult{
config: config,
duration: b.Elapsed() / time.Duration(b.N),
outputSize: fileInfo.Size(),
psnr: psnr,
}
b.ReportMetric(float64(result.duration.Milliseconds()), "ms/op")
b.ReportMetric(float64(result.outputSize), "output_size_bytes/op")
b.ReportMetric(result.psnr, "psnr_db/op")
})
}
})
}
}