@@ -15,8 +15,8 @@ import (
1515func googleNetClassification (path string , arguments * Arguments , wg * sync.WaitGroup ) {
1616 defer wg .Done ()
1717 url := arguments .URL + "/predict"
18- path , _ = filepath . Abs (path )
19- var jsonStr = []byte (`{"service":"deepsort-resnet","parameters":{"input":{"width":224,"height":224},"output":{"best":1},"mllib":{"gpu":false}},"data":["` + path + `"]}` )
18+ dataStr := readFile (path )
19+ var jsonStr = []byte (`{"service":"deepsort-resnet","parameters":{"input":{"width":224,"height":224},"output":{"best":1},"mllib":{"gpu":false}},"data":["` + dataStr + `"]}` )
2020 // DEBUG
2121 //fmt.Println("Request: " + string(jsonStr))
2222 req , err := http .NewRequest ("POST" , url , bytes .NewBuffer (jsonStr ))
@@ -51,8 +51,8 @@ func googleNetClassification(path string, arguments *Arguments, wg *sync.WaitGro
5151func resNet50Classification (path string , arguments * Arguments , wg * sync.WaitGroup ) {
5252 defer wg .Done ()
5353 url := arguments .URL + "/predict"
54- path , _ = filepath . Abs (path )
55- var jsonStr = []byte (`{"service":"deepsort-resnet-50","parameters":{"input":{"width":224,"height":224},"output":{"best":1},"mllib":{"gpu":false}},"data":["` + path + `"]}` )
54+ dataStr := readFile (path )
55+ var jsonStr = []byte (`{"service":"deepsort-resnet-50","parameters":{"input":{"width":224,"height":224},"output":{"best":1},"mllib":{"gpu":false}},"data":["` + dataStr + `"]}` )
5656 // DEBUG
5757 //fmt.Println("Request: " + string(jsonStr))
5858 req , err := http .NewRequest ("POST" , url , bytes .NewBuffer (jsonStr ))
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