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motokimura avatar motokimura commented on July 23, 2024

According to the error message, memory size of your GPU device seems to be insufficient for the default batch size. Can you try with --batchsize option?

$ python train_model.py ../../data/dataSplit ../../data/processedBuildingLabels/3band ../../data/buildingMaskImages --batchsize 8

Because the default batch size is set to 16, required memory size will decrease by half with the example above.

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ssalvadeo avatar ssalvadeo commented on July 23, 2024

Continues the same erros, these are the data of my computer, what minimal memory should I have? or how could this problem be solved

 *-core
       descripción: Placa base
       producto: H310M-HDV
       fabricante: ASRock
       id físico: 0
       serie: M80-B5014702592
     *-memory
          descripción: Memoria de sistema
          id físico: 9
          ranura: Placa de sistema o placa base
          tamaño: 8GiB
        *-bank:0
             descripción: DIMM DDR4 Síncrono 2667 MHz (0,4 ns)
             producto: BLS8G4D26BFSBK.8FD
             fabricante: 859B
             id físico: 0
             serie: A91EB06E
             ranura: ChannelA-DIMM0
             tamaño: 8GiB
             anchura: 64 bits
             reloj: 2667MHz (0.4ns)
     *-cpu
          descripción: CPU
          producto: Intel(R) Core(TM) i5-8400 CPU @ 2.80GHz
          fabricante: Intel Corp.
          id físico: 15
          información del bus: cpu@0
          versión: Intel(R) Core(TM) i5-8400 CPU @ 2.80GHz
          serie: To Be Filled By O.E.M.
          ranura: CPUSocket
          tamaño: 1548MHz
          capacidad: 4005MHz
          anchura: 64 bits
          reloj: 100MHz
      *-display
                descripción: VGA compatible controller
                producto: GM107GL [Quadro K620]
                fabricante: NVIDIA Corporation
                id físico: 0
                información del bus: pci@0000:01:00.0
                versión: a2
                anchura: 64 bits
                reloj: 33MHz
                capacidades: pm msi pciexpress vga_controller bus_master cap_list rom
                configuración: driver=nvidia latency=0
                recursos: irq:126 memoria:a2000000-a2ffffff memoria:90000000-9fffffff memoria:a0000000-a1ffffff ioport:4000(size=128) memoria:c0000-dffff
           *-multimedia
                descripción: Audio device
                producto: NVIDIA Corporation
                fabricante: NVIDIA Corporation
                id físico: 0.1
                información del bus: pci@0000:01:00.1
                versión: a1
                anchura: 32 bits
                reloj: 33MHz
                capacidades: pm msi pciexpress bus_master cap_list
                configuración: driver=snd_hda_intel latency=0
                recursos: irq:17 memoria:a3080000-a3083fff
        *-disk
             descripción: ATA Disk
             producto: KINGSTON SA400S3
             id físico: 0.0.0
             información del bus: scsi@0:0.0.0
             nombre lógico: /dev/sda
             versión: B1D1
             serie: 50026B76823F300B
             tamaño: 223GiB (240GB)
             capacidades: partitioned partitioned:dos
             configuración: ansiversion=5 logicalsectorsize=512 sectorsize=512 signature=b061fbf9

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motokimura avatar motokimura commented on July 23, 2024

Ok, please try:

python train_model.py ../../data/dataSplit ../../data/processedBuildingLabels/3band ../../data/buildingMaskImages --batchsize 1

from spacenet_building_detection.

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