Hi,
I have been using the age and gender prediction models- GitHub - GilLevi/AgeGenderDeepLearning to build the deepstream-test2 pipeline but my engine file is not getting created. And I am using python language
secondary model config file -
[property]
gpu-id=0
net-scale-factor=1
model-file=gender_net.caffemodel
proto-file=deploy_gender.prototxt
#model-engine-file=…/…/…/…/samples/models/Secondary_CarColor/resnet18.caffemodel_b16_gpu0_int8.engine
mean-file=mean.binaryproto
labelfile-path=labels-gender.txt
#int8-calib-file=cal_trt.bin
force-implicit-batch-dim=1
batch-size=16
0=FP32 and 1=INT8 mode
network-mode=1
input-object-min-width=64
input-object-min-height=64
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
#scaling-filter=0
#scaling-compute-hw=0
primary model config file-
[property]
gpu-id=0
net-scale-factor=0.0039215697906911373
tlt-model-key=tlt_encode
tlt-encoded-model=resnet34_peoplenet_pruned.etlt
labelfile-path=labels_peoplenet.txt
int8-calib-file=resnet18_peoplenet_int8.txt
#model-engine-file=…/…/models/tlt_pretrained_models/trafficcamnet/resnet18_trafficcamnet_pruned.etlt_b1_gpu0_int8.engine
input-dims=3;544;960;0
uff-input-blob-name=input_1
batch-size=1
process-mode=1
model-color-format=0
0=FP32, 1=INT8, 2=FP16 mode
network-mode=1
num-detected-classes=3
interval=0
gie-unique-id=1
output-blob-names=output_bbox/BiasAdd;output_cov/Sigmoid
[class-attrs-all]
pre-cluster-threshold=0.2
group-threshold=1
Set eps=0.7 and minBoxes for cluster-mode=1(DBSCAN)
eps=0.2
#minBoxes=3