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/SNNF/release # ./snnf_run.sh
Usage: ./bin/snnf_nnsample [-m|-s|-a|-h] [-i|-v|-o|option]
        Version: 1.1.0_
        Time:
        [-m,--model <model>] run a single model
                <model>:Age                        Det10g                     HumanAttr
                        HumanFilter                LightFace                  OcrCls
                        OcrDet                     OcrRec                     VehicleAttr
                        VehicleFilter              W600kR50                   YoloV8sOdMap
                        Yolov5sDetection           Yolov5sV1                  Yolov8nClassify
                        Yolov8sClassify            stgcn                      Yolov5sV2
                        BotSortTrackStgcn          GenderAge                  Rtmdets
                        YoloV10sDetection          YoloV8nCcpdOpti            YoloV8nDetectionBaseOpti
                        YoloV8nDetectionOpti       YoloV8nObbOpti             YoloV8nPoseOpti
                        YoloV8nSegmentOpti         YoloV8sDetection           YoloV8sDetectionBaseOpti
                        YoloV8sDetectionOpti       YoloV8sObb                 YoloV8sPose
                        YoloV8sSegment
                example:./bin/snnf_nnsample -m Yolov5sDetection
                        ./bin/snnf_nnsample --model HumanAttr

        [-s,--sequential <model1,model2,...>] run sequential models
                <models>:Yolov5sDetection,HumanFilter,HumanAttr
                        LightFace,Age
                        OcrDet,OcrRec
                        OcrDet,OcrCls,OcrRec
                        YoloV8nCcpdOpti,OcrRec
                        Det10g,W600kR50
                        YoloV8sDetection,VehicleFilter,VehicleAttr
                        YoloV8nDetectionOpti,BotSortTrack
                        YoloV8nPoseOpti,BotSortTrackStgcn
                        YoloV8nCcpdOpti,OcrRec
                        YoloV8nCcpdOpti,OcrCls,OcrRec
                example:./bin/snnf_nnsample -s Yolov5sDetection,HumanFilter,HumanAttr
                        ./bin/snnf_nnsample --sequential ocrDet,ocrCls,ocrRec
                        ./bin/snnf_nnsample -s YoloV8nCcpdOpti,OcrRec,imageWriter
                        ./bin/snnf_nnsample -s YoloV8sDetectionOpti,BotSortTrack,videoWriter -v resource/video/humanCountpk-12.mp4
                        ./bin/snnf_nnsample -s YoloV8nPoseOpti,BotSortTrackStgcn,videoWriter -v resource/video/person-falling.mp4

        [-i,--image file] set image file to nn detection.
                <file>: file name
                [-c | option]: test count, this parameter is only match with -i
                example:./bin/snnf_nnsample -s Yolov5sDetection,HumanAttr -i filename -c testCount
                        ./bin/snnf_nnsample -s Yolov5sDetection,HumanAttr --image filename -c testCount

        [-v,--video file] set video file to nn detection.
                <file>: file name
                example:./bin/snnf_nnsample -s Yolov5sDetection,HumanAttr -v filename
                        ./bin/snnf_nnsample -s Yolov5sDetection,HumanAttr --video filename

        [-o,--output file] specify the output file name for saving results.
                <file>: file name with extension (e.g., output.jpg, output.json, output.mp4)
                This parameter must be used in conjunction with imageWriter, jsonWriter, or videoWriter.
                example:./bin/snnf_nnsample -s Yolov5sDetection,HumanAttr,imageWriter -i filename -o output.jpg
                        ./bin/snnf_nnsample -s Yolov5sDetection,HumanAttr,jsonWriter -i filename -o output.json
                        ./bin/snnf_nnsample -s Yolov5sDetection,HumanAttr,videoWriter -v filename -o output.mp4
                        
        [-a,--all] run all model testing

        assist tools: imageWriter videoWriter jsonWriter BotSortTrack HumanFilter VehicleFilter