Hi @bcao,
Thanks for your reply on this post.
I referred the samples/configs/deepstream-app/source4_1080p_dec_infer-resnet_tracker_sgie_tiled_display_int8.txt and created separate file for my scenario i.e running FaceDetectIR as primary model to detect faces and my custom caffe gender model as the secondary model for classifying the gender on the detected faces. When I run the file it results into an error mentioned below,
ERROR:
glueck@gluecktx2DS5:/opt/nvidia/deepstream/deepstream-5.1/samples/configs/tlt_pretrained_models$ deepstream-app -c source_gender.txt
Warning: ‘input-dims’ parameter has been deprecated. Use ‘infer-dims’ instead.Using winsys: x11
ERROR: Deserialize engine failed because file path: /opt/nvidia/deepstream/deepstream-5.1/samples/configs/tlt_pretrained_models/…/…/models/Secondary_Gender/resnet18.caffemodel_b16_gpu0_int8.engine open error
0:00:01.651294650 17508 0x2fee0ca0 WARN nvinfer gstnvinfer.cpp:616:gst_nvinfer_logger:<secondary_gie_0> NvDsInferContext[UID 4]: Warning from NvDsInferContextImpl::deserializeEngineAndBackend() <nvdsinfer_context_impl.cpp:1691> [UID = 4]: deserialize engine from file :/opt/nvidia/deepstream/deepstream-5.1/samples/configs/tlt_pretrained_models/…/…/models/Secondary_Gender/resnet18.caffemodel_b16_gpu0_int8.engine failed
0:00:01.651448409 17508 0x2fee0ca0 WARN nvinfer gstnvinfer.cpp:616:gst_nvinfer_logger:<secondary_gie_0> NvDsInferContext[UID 4]: Warning from NvDsInferContextImpl::generateBackendContext() <nvdsinfer_context_impl.cpp:1798> [UID = 4]: deserialize backend context from engine from file :/opt/nvidia/deepstream/deepstream-5.1/samples/configs/tlt_pretrained_models/…/…/models/Secondary_Gender/resnet18.caffemodel_b16_gpu0_int8.engine failed, try rebuild
0:00:01.651488153 17508 0x2fee0ca0 INFO nvinfer gstnvinfer.cpp:619:gst_nvinfer_logger:<secondary_gie_0> NvDsInferContext[UID 4]: Info from NvDsInferContextImpl::buildModel() <nvdsinfer_context_impl.cpp:1716> [UID = 4]: Trying to create engine from model files
ERROR: [TRT]: CaffeParser: Could not parse binary model file
ERROR: [TRT]: CaffeParser: Could not parse model file
ERROR: Failed while parsing caffe network: /opt/nvidia/deepstream/deepstream-5.1/samples/models/Secondary_Gender/deploy.prototxt
ERROR: failed to build network since parsing model errors.
ERROR: failed to build network.
0:00:01.652141750 17508 0x2fee0ca0 ERROR nvinfer gstnvinfer.cpp:613:gst_nvinfer_logger:<secondary_gie_0> NvDsInferContext[UID 4]: Error in NvDsInferContextImpl::buildModel() <nvdsinfer_context_impl.cpp:1736> [UID = 4]: build engine file failed
0:00:01.652190325 17508 0x2fee0ca0 ERROR nvinfer gstnvinfer.cpp:613:gst_nvinfer_logger:<secondary_gie_0> NvDsInferContext[UID 4]: Error in NvDsInferContextImpl::generateBackendContext() <nvdsinfer_context_impl.cpp:1822> [UID = 4]: build backend context failed
0:00:01.652225269 17508 0x2fee0ca0 ERROR nvinfer gstnvinfer.cpp:613:gst_nvinfer_logger:<secondary_gie_0> NvDsInferContext[UID 4]: Error in NvDsInferContextImpl::initialize() <nvdsinfer_context_impl.cpp:1149> [UID = 4]: generate backend failed, check config file settings
0:00:01.652286325 17508 0x2fee0ca0 WARN nvinfer gstnvinfer.cpp:812:gst_nvinfer_start:<secondary_gie_0> error: Failed to create NvDsInferContext instance
0:00:01.652314037 17508 0x2fee0ca0 WARN nvinfer gstnvinfer.cpp:812:gst_nvinfer_start:<secondary_gie_0> error: Config file path: /opt/nvidia/deepstream/deepstream-5.1/samples/configs/tlt_pretrained_models/config_infer_gender_classifier.txt, NvDsInfer Error: NVDSINFER_CONFIG_FAILED
** ERROR: main:655: Failed to set pipeline to PAUSED
Quitting
ERROR from secondary_gie_0: Failed to create NvDsInferContext instance
Debug info: /dvs/git/dirty/git-master_linux/deepstream/sdk/src/gst-plugins/gst-nvinfer/gstnvinfer.cpp(812): gst_nvinfer_start (): /GstPipeline:pipeline/GstBin:secondary_gie_bin/GstNvInfer:secondary_gie_0:
Config file path: /opt/nvidia/deepstream/deepstream-5.1/samples/configs/tlt_pretrained_models/config_infer_gender_classifier.txt, NvDsInfer Error: NVDSINFER_CONFIG_FAILED
App run failed
I have attached my config file and deepstream_app file along.
source_face_gender.txt
[application]
enable-perf-measurement=1
perf-measurement-interval-sec=5
#gie-kitti-output-dir=streamscl
[tiled-display]
enable=1
rows=1
columns=1
width=1920
height=1080
gpu-id=0
#(0): nvbuf-mem-default - Default memory allocated, specific to particular platform
#(1): nvbuf-mem-cuda-pinned - Allocate Pinned/Host cuda memory applicable for Tesla
#(2): nvbuf-mem-cuda-device - Allocate Device cuda memory applicable for Tesla
#(3): nvbuf-mem-cuda-unified - Allocate Unified cuda memory applicable for Tesla
#(4): nvbuf-mem-surface-array - Allocate Surface Array memory, applicable for Jetson
nvbuf-memory-type=0
[source0]
enable=1
#Type - 1=CameraV4L2 2=URI 3=MultiURI 4=RTSP
type=4
#uri=file://../../streams/sample_1080p_h264.mp4
uri=rtsp://root:Glueck321@10.0.1.36/axis-media/media.amp?streamprofile=H264
num-sources=1
#drop-frame-interval=2
gpu-id=0
# (0): memtype_device - Memory type Device
# (1): memtype_pinned - Memory type Host Pinned
# (2): memtype_unified - Memory type Unified
cudadec-memtype=0
[sink0]
enable=1
#Type - 1=FakeSink 2=EglSink 3=File
type=2
sync=0
source-id=0
gpu-id=0
nvbuf-memory-type=0
[sink1]
enable=0
type=3
#1=mp4 2=mkv
container=1
#1=h264 2=h265
codec=1
#encoder type 0=Hardware 1=Software
enc-type=0
sync=0
#iframeinterval=10
bitrate=2000000
#H264 Profile - 0=Baseline 2=Main 4=High
#H265 Profile - 0=Main 1=Main10
profile=0
output-file=out.mp4
source-id=0
[sink2]
enable=0
#Type - 1=FakeSink 2=EglSink 3=File 4=RTSPStreaming
type=4
#1=h264 2=h265
codec=1
#encoder type 0=Hardware 1=Software
enc-type=0
sync=0
bitrate=4000000
#H264 Profile - 0=Baseline 2=Main 4=High
#H265 Profile - 0=Main 1=Main10
profile=0
# set below properties in case of RTSPStreaming
rtsp-port=8554
udp-port=5400
[osd]
enable=1
gpu-id=0
border-width=1
text-size=15
text-color=1;1;1;1;
text-bg-color=0.3;0.3;0.3;1
font=Serif
show-clock=0
clock-x-offset=800
clock-y-offset=820
clock-text-size=12
clock-color=1;0;0;0
nvbuf-memory-type=0
[streammux]
gpu-id=0
##Boolean property to inform muxer that sources are live
live-source=0
batch-size=4
##time out in usec, to wait after the first buffer is available
##to push the batch even if the complete batch is not formed
batched-push-timeout=40000
## Set muxer output width and height
width=1920
height=1080
##Enable to maintain aspect ratio wrt source, and allow black borders, works
##along with width, height properties
enable-padding=0
nvbuf-memory-type=0
## If set to TRUE, system timestamp will be attached as ntp timestamp
## If set to FALSE, ntp timestamp from rtspsrc, if available, will be attached
# attach-sys-ts-as-ntp=1
# config-file property is mandatory for any gie section.
# Other properties are optional and if set will override the properties set in
# the infer config file.
[primary-gie]
enable=1
gpu-id=0
model-engine-file=../../models/Primary_Detector/resnet10.caffemodel_b4_gpu0_int8.engine
batch-size=4
#Required by the app for OSD, not a plugin property
bbox-border-color0=1;0;0;1
bbox-border-color1=0;1;1;1
bbox-border-color2=0;0;1;1
bbox-border-color3=0;1;0;1
interval=0
gie-unique-id=1
nvbuf-memory-type=0
config-file=config_infer_primary_facedetectir.txt
[tracker]
enable=1
# For the case of NvDCF tracker, tracker-width and tracker-height must be a multiple of 32, respectively
tracker-width=640
tracker-height=384
#ll-lib-file=/opt/nvidia/deepstream/deepstream-5.1/lib/libnvds_mot_iou.so
#ll-lib-file=/opt/nvidia/deepstream/deepstream-5.1/lib/libnvds_nvdcf.so
ll-lib-file=/opt/nvidia/deepstream/deepstream-5.1/lib/libnvds_mot_klt.so
#ll-config-file required for DCF/IOU only
#ll-config-file=tracker_config.yml
#ll-config-file=iou_config.txt
gpu-id=0
#enable-batch-process and enable-past-frame applicable to DCF only
enable-batch-process=1
enable-past-frame=0
display-tracking-id=1
[secondary-gie0]
enable=1
model-engine-file=../../models/Secondary_Gender/resnet18.caffemodel_b16_gpu0_int8.engine
gpu-id=0
batch-size=16
gie-unique-id=4
operate-on-gie-id=1
operate-on-class-ids=0;
config-file=config_infer_gender_classifier.txt
[tests]
file-loop=0
config_infer_sgie_gender.txt
[property]
gpu-id=0
net-scale-factor=1
model-file=../../models/Secondary_Gender/deploy.prototxt
proto-file=../../models/Secondary_Gender/deploy.prototxt
model-engine-file=../../models/Secondary_Gender/resnet18.caffemodel_b16_gpu0_int8.engine
int8-calib-file=../../models/Secondary_VehicleTypes/cal_trt.bin
mean-file=../../models/Secondary_Gender/x.ppm
labelfile-path=../../models/Secondary_Gender/labels.txt
force-implicit-batch-dim=1
batch-size=16
model-color-format=1
## 0=FP32, 1=INT8, 2=FP16 mode
network-mode=1
is-classifier=1
process-mode=2
output-blob-names=predictions/Softmax
classifier-async-mode=1
classifier-threshold=0.51
input-object-min-width=128
input-object-min-height=128
operate-on-gie-id=1
operate-on-class-ids=0
#scaling-filter=0
#scaling-compute-hw=0
The x.ppm file was created using the reference provided in this post → Mean file "mean.ppm" of deepstream - #5 by Amycao
Can you help me on this error?