I changed net to tiny-yolov3-coco and board to Intel - Arria 10 SOC.
When I run command : dn = compile(hW);
result:
Prepending following Altera Quartus II path(s) to the system path:
/home/trolny/intelFPGA/18.1/quartus/bin
Setting QUARTUS_64BIT environment variable to 1 to turn on 64-bit processing.
### Compiling network for Deep Learning FPGA prototyping ...
### Targeting FPGA bitstream arria10soc_single.
### An output layer called 'Output1_conv2d_10' of type 'nnet.cnn.layer.RegressionOutputLayer' has been added to the provided network. This layer performs no operation during prediction and thus does not affect the output of the network.
### An output layer called 'Output2_conv2d_13' of type 'nnet.cnn.layer.RegressionOutputLayer' has been added to the provided network. This layer performs no operation during prediction and thus does not affect the output of the network.
### Optimizing network: Fused 'nnet.cnn.layer.BatchNormalizationLayer' into 'nnet.cnn.layer.Convolution2DLayer'
Error using dnnfpga.compiler.codegenfpga
The bitstream does not have a(n) Resize2D block present in the custom processing module. To fix the problem, enable the Resize2D property of the custom module in the processor configuration and generate the bitstream again.
Error in dnnfpga.apis.Workflow/compileNetwork
Error in dnnfpga.apis.Workflow/compile
How can I fix it?
