fix: bad inference result conversion
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parent
05a0af6b74
commit
c5c87da714
@ -7,6 +7,7 @@ import (
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"github.com/cyrilix/robocar-base/service"
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"github.com/cyrilix/robocar-protobuf/go/events"
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"github.com/cyrilix/robocar-steering-tflite-edgetpu/pkg/metrics"
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"github.com/cyrilix/robocar-steering-tflite-edgetpu/pkg/tools"
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"github.com/disintegration/imaging"
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mqtt "github.com/eclipse/paho.mqtt.golang"
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"github.com/golang/protobuf/proto"
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@ -15,7 +16,6 @@ import (
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"go.uber.org/zap"
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"image"
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_ "image/jpeg"
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"sort"
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"time"
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)
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@ -212,43 +212,21 @@ func (p *Part) Value(img image.Image) (float32, float32, error) {
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}
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output := p.interpreter.GetOutputTensor(0)
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outputSize := output.Dim(output.NumDims() - 1)
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b := make([]byte, outputSize)
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type result struct {
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score float64
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index int
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}
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status = output.CopyToBuffer(&b[0])
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if status != tflite.OK {
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return 0., 0., fmt.Errorf("output failed: %v", status)
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}
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var results []result
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minScore := 0.2
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for i := 0; i < outputSize; i++ {
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score := float64(b[i]) / 255.0
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if score < minScore {
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continue
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}
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results = append(results, result{score: score, index: i})
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}
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if len(results) == 0 {
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zap.L().Warn(fmt.Sprintf("none steering with score > %0.2f found", minScore))
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return 0., 0., nil
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}
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zap.S().Debugf("raw result: %v", results)
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sort.Slice(results, func(i, j int) bool {
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return results[i].score > results[j].score
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})
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steering := float64(results[0].index)*(2./float64(outputSize)) - 1
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steering, score := tools.LinearBin(b, 15, -1, 2.0)
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zap.L().Debug("found steering",
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zap.Float64("steering", steering),
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zap.Float64("score", results[0].score),
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zap.Float64("score", score),
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)
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return float32(steering), float32(results[0].score), nil
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return float32(steering), float32(score), nil
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}
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var registerCallbacks = func(p *Part) error {
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40
pkg/tools/tools.go
Normal file
40
pkg/tools/tools.go
Normal file
@ -0,0 +1,40 @@
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package tools
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import (
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"fmt"
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"go.uber.org/zap"
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"sort"
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)
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// LinearBin perform inverse linear_bin, taking
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func LinearBin(arr []byte, n int, offset int, r float64) (float64, float64) {
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outputSize := len(arr)
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type result struct {
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score float64
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index int
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}
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var results []result
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minScore := 0.2
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for i := 0; i < outputSize; i++ {
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score := float64(arr[i]) / 255.0
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if score < minScore {
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continue
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}
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results = append(results, result{score: score, index: i})
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}
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if len(results) == 0 {
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zap.L().Warn(fmt.Sprintf("none steering with score > %0.2f found", minScore))
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return 0., 0.
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}
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zap.S().Debugf("raw result: %v", results)
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sort.Slice(results, func(i, j int) bool {
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return results[i].score > results[j].score
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})
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b := results[0].index
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a := float64(b)*(r/(float64(n)+float64(offset))) + float64(offset)
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return a, results[0].score
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}
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77
pkg/tools/tools_test.go
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77
pkg/tools/tools_test.go
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@ -0,0 +1,77 @@
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package tools
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import (
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"testing"
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)
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func Test_LinearBin(t *testing.T) {
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type args struct {
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arr []byte
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n int
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offset int
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r float64
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}
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tests := []struct {
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name string
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args args
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want float64
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want1 float64
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}{
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{
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name: "default",
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args: args{
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arr: []byte{0, 0, 0, 0, 0, 0, 0, 255, 0, 0, 0, 0, 0, 0, 0},
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n: 15,
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offset: -1,
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r: 2.0,
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},
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want: 0.,
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want1: 1.0,
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},
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{
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name: "left",
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args: args{
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arr: []byte{255, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0},
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n: 15,
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offset: -1,
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r: 2.0,
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},
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want: -1.,
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want1: 1.0,
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},
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{
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name: "right",
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args: args{
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arr: []byte{0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255},
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n: 15,
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offset: -1,
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r: 2.0,
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},
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want: 1.,
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want1: 1.0,
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},
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{
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name: "right",
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args: args{
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arr: []byte{0, 0, 0, 0, 0, 0, 0, 5, 10, 15, 20, 40, 100, 60, 5},
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n: 15,
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offset: -1,
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r: 2.0,
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},
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want: 0.7142857142857142,
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want1: 0.39215686274509803,
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},
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}
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for _, tt := range tests {
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t.Run(tt.name, func(t *testing.T) {
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got, got1 := LinearBin(tt.args.arr, tt.args.n, tt.args.offset, tt.args.r)
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if got != tt.want {
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t.Errorf("linearBin() got = %v, want %v", got, tt.want)
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}
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if got1 != tt.want1 {
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t.Errorf("linearBin() got1 = %v, want %v", got1, tt.want1)
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}
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})
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}
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}
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