2021-11-08
30
IDS NXT: Technical manual IDS NXT rome
11 System specification
CPU
1.3 GHz Dual Core ARM Cortex-A53
FPGA
Xilinx Zynq Ult (ZU3CG)
RAM
2 GB DDR4
Flash
8 GB (with the system)
11.1 CNN
Operating system
Linux
Image preprocessing
·
Demosaicing
·
AOI
·
Resolution scaling
·
CNN preprocessing modes
o
zeroto255
o
zerotoone
·
CNN preprocessing modes from
keras.applications.imagenet_utils.preprocess_input
o
tf
o
caffe
o
torch
Data postprocessing on CPU
·
Softmax operation for classification
·
Box regression for object detection
·
User programmable processing on Dual Core ARM Cortex-A53
11.1.1 deep ocean core
Input data formats
·
Up to 512 x 512 pixels
·
Tensor of shape (x, y, 3) for color
·
Tensor of shape (x, y, 1) for mono
Output data formats
·
Float
·
Shape formating can be defined in post-processing (depending on
model and task)
Internal number format
·
16-bit fixed point
·
Integer and fractional bits individually optimized for each layer
Maximum number of layers in
model
·
180 layers
Maximum model size
Any size fitting the RAM size (maximum 245 MB (1,6 MP mono),
minimum 160 MB (6 MP color)
Supported operations/layers
·
2D convolution layer
·
Depthwise separable convolution layer
·
Average pooling layer
·
Max. pooling layer
·
Dense layer
·
Add layer
·
Concatenate layer
