Add: googleNetClassification - Process GoogleNet based image classifi…

…cation.

Modify: argumentParsing - Add argument --dry-run.

cmd/deepsort/arguments.go

@@ -11,19 +11,22 @@ import (
 func argumentParsing(args []string, argument *Arguments) {
 	// Create new parser object
 	parser := argparse.NewParser("deepsort", "AI powered image tagger backed by DeepDetect")
-	// Create string flag
+	// Create flags
 	URL := parser.String("u", "url", &argparse.Options{Required: true, Help: "URL of your DeepDetect instance (i.e: http://localhost:8080)"})
 	input := parser.String("i", "input", &argparse.Options{Required: true, Help: "Your input folder."})
+	dryRun := parser.Flag("d", "dry-run", &argparse.Options{Required: false, Help: "Just classify images and return results, do not apply."})
 	// Parse input
 	err := parser.Parse(os.Args)
 	if err != nil {
 		// In case of error print error and print usage
 		// This can also be done by passing -h or --help flags
 		fmt.Print(parser.Usage(err))
+		os.Exit(0)
 	}
 	// Handle the input flag
 	inputFolder, _ := filepath.Abs(*input)
-	// Finally print the collected string
+	// Finally save the collected flags
+	argument.DryRun = *dryRun
 	argument.Input = inputFolder
 	argument.URL = *URL
 }

cmd/deepsort/classify.go

@@ -11,10 +11,10 @@ import (
 	"github.com/labstack/gommon/color"
 )
 
-func getClass(path string, arguments *Arguments) {
+func googleNetClassification(path string, arguments *Arguments) {
 	url := arguments.URL + "/predict"
 	path, _ = filepath.Abs(path)
-	var jsonStr = []byte(`{"service":"imageserv","parameters":{"input":{"width":224,"height":224},"output":{"best":1},"mllib":{"gpu":false}},"data":["` + path + `"]}`)
+	var jsonStr = []byte(`{"service":"deepsort-googlenet","parameters":{"input":{"width":224,"height":224},"output":{"best":1},"mllib":{"gpu":false}},"data":["` + path + `"]}`)
 	// DEBUG
 	//fmt.Println("Request: " + string(jsonStr))
 	req, err := http.NewRequest("POST", url, bytes.NewBuffer(jsonStr))

cmd/deepsort/main.go

@@ -9,8 +9,9 @@ import (
 )
 
 type Arguments struct {
-	Input string
-	URL   string
+	Input  string
+	URL    string
+	DryRun bool
 }
 
 func main() {

cmd/deepsort/process_recursively.go

@@ -26,7 +26,7 @@ func runRecursively(arguments *Arguments) ([]string, error) {
 	for _, file := range fileList {
 		buf, _ := ioutil.ReadFile(file)
 		if filetype.IsImage(buf) {
-			getClass(file, arguments)
+			googleNetClassification(file, arguments)
 		}
 	}