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@@ -135,7 +135,8 @@ def detSeg_demo(opt): |
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'device':'0', ###显卡号,如果用TRT模型,只支持0(单显卡)
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'labelnames':"../AIlib2/weights/conf/river/labelnames.json", ###检测类别对照表
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'max_workers':1, ###并行线程数
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'Detweights':"../weights/%s/AIlib2/%s/yolov5_%s_fp16.engine"%(opt['gpu'], opt['business'] ,opt['gpu'] ),###检测模型路径
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#'Detweights':"../weights/%s/AIlib2/%s/yolov5_%s_fp16.engine"%(opt['gpu'], opt['business'] ,opt['gpu'] ),###检测模型路径
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'Detweights':"/mnt/thsw2/DSP2/weights/river/yolov5.pt",###检测模型路径
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'detModelpara':[{"id":str(x),"config":{"k1":"v1","k2":"v2"}} for x in [0,1,2,3,4,5,6,7,8,9] ],###控制哪些检测类别显示,输出
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'seg_nclass':2,###分割模型类别数目,默认2类
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'segRegionCnt':1,###分割模型结果需要保留的等值线数目
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@@ -941,7 +942,7 @@ if __name__=="__main__": |
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#jkm_demo()
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businessAll=['river2','AnglerSwimmer', 'countryRoad','forest2', 'pedestrian' , 'smogfire' , 'vehicle','ship2',"highWay2","channelEmergency","cityMangement","drowning","noParking"]
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#trafficAccident、出问题
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businessAll = ["river"]
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businessAll = ['drowning']
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# forest 、 ocr2 、ocr_en 、 river 、 road 、 ship ,目前都没有在用
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