• Hardware (T4/V100/Xavier/Nano/etc) T4
• Network Type :Classification
• TLT Version :2.0
Dear professor:
I hope use my classification engine in Deepstream. So I follow the step of tao _voc/classification.ipynb and produce a “final_model.etlt”. The Dataset is default set as voc2012, and class number is 20.
I copy “final_model.etlt” to deepstream-test2, and set the SGIE1 loading this engine. But It seems like don’t work.
The Fig.1 is shown the original test-2, the SGIE1 can classify the car color.
After I modify the configure as below:
[property]
gpu-id=0
net-scale-factor=1
offsets=123.67;116.28;103.53
tlt-model-key=ZmFtdW43NmZqOWZkczc5cmZsczFyNGFoODo1MGRlNGE5Ny1mNmYzLTRlZWYtOD**********
tlt-encoded-model=./final_model.etlt
labelfile-path=./SGIElabels.txt
input-dims=3;224;224;0
uff-input-blob-name=input_1
force-implicit-batch-dim=1
batch-size=8
0=FP32 and 1=INT8 mode
network-mode=1
input-object-min-width=10
input-object-min-height=10
process-mode=2
model-color-format=1
gie-unique-id=2
operate-on-gie-id=1
operate-on-class-ids=0
is-classifier=1
output-blob-names=predictions/Softmax
classifier-async-mode=1
classifier-threshold=0.51
process-mode=2
#scaling-filter=0
#scaling-compute-hw=0
I just get the following result
That means the SGIE1 does not work. What is the matter? Could kindly help me?
Thank you very much.