Edge Compute Device
Viewing Raw Model Output
2 min
initially, the camera is setup to run a generic model, either peoplenet or our hardhat model you can select the model from the admin page, on the ai model tab by default, the model data will be output to the console you can observe this raw output with the following command journalctl fu canopy deepstream you should see an output similar to below {"timestamp" 1656520856 358412,"data" \[{"class id" 1,"label" "no hardhat","confidence" 0 76260924339294434,"top" 44 093578338623047,"left" 426 87469482421875,"width" 133 80183410644531,"height" 186 41763305664062}]} {"timestamp" 1656520856 3609099,"data" \[{"class id" 1,"label" "no hardhat","confidence" 0 7589266300201416,"top" 44 183940887451172,"left" 426 92059326171875,"width" 133 310302734375,"height" 184 90948486328125}]} {"timestamp" 1656520856 3635709,"data" \[{"class id" 1,"label" "no hardhat","confidence" 0 76997458934783936,"top" 44 002788543701172,"left" 424 93472290039062,"width" 137 00949096679688,"height" 183 94688415527344}]} {"timestamp" 1656520856 36601,"data" \[{"class id" 1,"label" "no hardhat","confidence" 0 7851373553276062,"top" 44 204544067382812,"left" 425 24423217773438,"width" 137 88632202148438,"height" 183 83177185058594}]} {"timestamp" 1656520856 3683879,"data" \[{"class id" 1,"label" "no hardhat","confidence" 0 72882759571075439,"top" 44 225082397460938,"left" 425 73562622070312,"width" 137 2818603515625,"height" 187 77508544921875}]}