robocar-steering-tflite-edg.../cmd/rc-steering/rc-steering.go

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package main
import (
"context"
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"flag"
"fmt"
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"github.com/cyrilix/robocar-base/cli"
"github.com/cyrilix/robocar-steering-tflite-edgetpu/pkg/metrics"
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"github.com/cyrilix/robocar-steering-tflite-edgetpu/pkg/steering"
"github.com/cyrilix/robocar-steering-tflite-edgetpu/pkg/tools"
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"go.uber.org/zap"
"log"
"os"
"regexp"
"strconv"
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)
const (
DefaultClientId = "robocar-steering-tflite-edgetpu"
)
var (
modelNameRegex = regexp.MustCompile(".*model_(?P<type>(categorical)|(linear))_(?P<imgWidth>\\d+)x(?P<imgHeight>\\d+)h(?P<horizon>\\d+)_edgetpu.tflite$")
)
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func main() {
var mqttBroker, username, password, clientId string
var cameraTopic, steeringTopic string
var modelPath string
var edgeVerbosity int
var imgWidth, imgHeight, horizon int
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mqttQos := cli.InitIntFlag("MQTT_QOS", 0)
_, mqttRetain := os.LookupEnv("MQTT_RETAIN")
cli.InitMqttFlags(DefaultClientId, &mqttBroker, &username, &password, &clientId, &mqttQos, &mqttRetain)
flag.StringVar(&modelPath, "model", "", "path to model file")
flag.StringVar(&steeringTopic, "mqtt-topic-road", os.Getenv("MQTT_TOPIC_STEERING"), "Mqtt topic to publish road detection result, use MQTT_TOPIC_STEERING if args not set")
flag.StringVar(&cameraTopic, "mqtt-topic-camera", os.Getenv("MQTT_TOPIC_CAMERA"), "Mqtt topic that contains camera frame values, use MQTT_TOPIC_CAMERA if args not set")
flag.IntVar(&edgeVerbosity, "edge-verbosity", 0, "Edge TPU Verbosity")
flag.IntVar(&imgWidth, "img-width", 0, "image width expected by model")
flag.IntVar(&imgHeight, "img-height", 0, "image height expected by model")
flag.IntVar(&horizon, "horizon", 0, "upper zone to crop from image. Models expect size 'imgHeight - horizon'")
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logLevel := zap.LevelFlag("log", zap.InfoLevel, "log level")
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flag.Parse()
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if len(os.Args) <= 1 {
flag.PrintDefaults()
os.Exit(1)
}
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config := zap.NewDevelopmentConfig()
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config.Level = zap.NewAtomicLevelAt(*logLevel)
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lgr, err := config.Build()
if err != nil {
log.Fatalf("unable to init logger: %v", err)
}
defer func() {
if err := lgr.Sync(); err != nil {
log.Printf("unable to Sync logger: %v\n", err)
}
}()
zap.ReplaceGlobals(lgr)
cleanup := metrics.Init(context.Background())
defer cleanup()
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if modelPath == "" {
zap.L().Error("model path is mandatory")
flag.PrintDefaults()
os.Exit(1)
}
modelType, width, height, horizonFromName, err := parseModelName(modelPath)
if err != nil {
zap.S().Panicf("bad model name '%v', unable to detect configuration from name pattern: %v", modelPath, err)
}
if imgWidth == 0 {
imgWidth = width
}
if imgHeight == 0 {
imgHeight = height
}
if horizonFromName == 0 {
horizon = horizonFromName
}
if imgWidth <= 0 || imgHeight <= 0 {
zap.L().Error("img-width and img-height are mandatory")
flag.PrintDefaults()
os.Exit(1)
}
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zap.S().Infof("model type : %v", modelType)
zap.S().Infof("model for image width : %v", imgWidth)
zap.S().Infof("model for image height: %v", imgHeight)
zap.S().Infof("model with horizon : %v", horizon)
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client, err := cli.Connect(mqttBroker, username, password, clientId)
if err != nil {
zap.L().Fatal("unable to connect to mqtt bus", zap.Error(err))
}
defer client.Disconnect(50)
p := steering.NewPart(client, modelType, modelPath, steeringTopic, cameraTopic, edgeVerbosity, imgWidth, imgHeight, horizon)
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defer p.Stop()
cli.HandleExit(p)
err = p.Start()
if err != nil {
zap.L().Fatal("unable to start service", zap.Error(err))
}
}
func parseModelName(modelPath string) (modelType tools.ModelType, imgWidth, imgHeight int, horizon int, err error) {
match := modelNameRegex.FindStringSubmatch(modelPath)
results := map[string]string{}
for i, name := range match {
results[modelNameRegex.SubexpNames()[i]] = name
}
modelType = tools.ParseModelType(results["type"])
if modelType == tools.ModelTypeUnknown {
err = fmt.Errorf("unknown model type '%v'", results["type"])
return
}
imgWidth, err = strconv.Atoi(results["imgWidth"])
if err != nil {
err = fmt.Errorf("unable to convert image width '%v' to integer: %v", results["imgWidth"], err)
return
}
imgHeight, err = strconv.Atoi(results["imgHeight"])
if err != nil {
err = fmt.Errorf("unable to convert image height '%v' to integer: %v", results["imgHeight"], err)
return
}
horizon, err = strconv.Atoi(results["horizon"])
if err != nil {
err = fmt.Errorf("unable to convert horizon '%v' to integer: %v", results["horizon"], err)
return
}
return
}