what do you mean by pgie and nvinfer element?
here is my source 30 file:
[application]
enable-perf-measurement=1
perf-measurement-interval-sec=5
#gie-kitti-output-dir=streamscl
[tiled-display]
enable=0
rows=1
columns=6
width=1280
height=720
gpu-id=1
#(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=3
uri=file://…/…/streams/sample_qHD.mp4
num-sources=60
#drop-frame-interval=2
gpu-id=1
(0): memtype_device - Memory type Device
(1): memtype_pinned - Memory type Host Pinned
(2): memtype_unified - Memory type Unified
cudadec-memtype=0
[source1]
enable=0
#Type - 1=CameraV4L2 2=URI 3=MultiURI 4=RTSP
type=3
uri=file://…/…/streams/sample_1080p_h264.mp4
num-sources=60
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=1
source-id=0
gpu-id=1
nvbuf-memory-type=0
[sink1]
enable=0
type=2
#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=1
#Type - 1=FakeSink 2=EglSink 3=File 4=RTSPStreaming
type=2
#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=4
set below properties in case of RTSPStreaming
rtsp-port=8554
udp-port=5400
[osd]
enable=1
gpu-id=1
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=1
##Boolean property to inform muxer that sources are live
live-source=0
batch-size=60
##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=1
model-engine-file=…/…/models/Primary_Detector/resnet10.caffemodel_b30_gpu0_int8.engine
#Required to display the PGIE labels, should be added even when using config-file
#property
batch-size=60
#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
#Required by the app for SGIE, when used along with config-file property
gie-unique-id=1
nvbuf-memory-type=1
config-file=config_infer_primary.txt
[tests]
###################
###################
##################
here is my config file
################################################################################
Copyright (c) 2018-2020, NVIDIA CORPORATION. All rights reserved.
Permission is hereby granted, free of charge, to any person obtaining a
copy of this software and associated documentation files (the “Software”),
to deal in the Software without restriction, including without limitation
the rights to use, copy, modify, merge, publish, distribute, sublicense,
and/or sell copies of the Software, and to permit persons to whom the
Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
DEALINGS IN THE SOFTWARE.
################################################################################
Following properties are mandatory when engine files are not specified:
int8-calib-file(Only in INT8)
Caffemodel mandatory properties: model-file, proto-file, output-blob-names
UFF: uff-file, input-dims, uff-input-blob-name, output-blob-names
ONNX: onnx-file
Mandatory properties for detectors:
num-detected-classes
Optional properties for detectors:
cluster-mode(Default=Group Rectangles), interval(Primary mode only, Default=0)
custom-lib-path,
parse-bbox-func-name
Mandatory properties for classifiers:
classifier-threshold, is-classifier
Optional properties for classifiers:
classifier-async-mode(Secondary mode only, Default=false)
Optional properties in secondary mode:
operate-on-gie-id(Default=0), operate-on-class-ids(Defaults to all classes),
input-object-min-width, input-object-min-height, input-object-max-width,
input-object-max-height
Following properties are always recommended:
batch-size(Default=1)
Other optional properties:
net-scale-factor(Default=1), network-mode(Default=0 i.e FP32),
model-color-format(Default=0 i.e. RGB) model-engine-file, labelfile-path,
mean-file, gie-unique-id(Default=0), offsets, process-mode (Default=1 i.e. primary),
custom-lib-path, network-mode(Default=0 i.e FP32)
The values in the config file are overridden by values set through GObject
properties.
[property]
gpu-id=1
net-scale-factor=0.0039215697906911373
model-file=…/…/models/Primary_Detector/resnet10.caffemodel
proto-file=…/…/models/Primary_Detector/resnet10.prototxt
model-engine-file=…/…/models/Primary_Detector/resnet10.caffemodel_b30_gpu0_int8.engine
labelfile-path=…/…/models/Primary_Detector/labels.txt
int8-calib-file=…/…/models/Primary_Detector/cal_trt.bin
batch-size=60
process-mode=1
model-color-format=0
0=FP32, 1=INT8, 2=FP16 mode
network-mode=1
num-detected-classes=4
interval=0
gie-unique-id=1
output-blob-names=conv2d_bbox;conv2d_cov/Sigmoid
force-implicit-batch-dim=1
#parse-bbox-func-name=NvDsInferParseCustomResnet
#custom-lib-path=/path/to/libnvdsparsebbox.so
0=Group Rectangles, 1=DBSCAN, 2=NMS, 3= DBSCAN+NMS Hybrid, 4 = None(No clustering)
#cluster-mode=1
#scaling-filter=0
#scaling-compute-hw=0
#Use these config params for group rectangles clustering mode
[class-attrs-all]
pre-cluster-threshold=0.2
group-threshold=1
eps=0.2
roi-top-offset=0
roi-bottom-offset=0
detected-min-w=0
detected-min-h=0
detected-max-w=0
detected-max-h=0
#Use the config params below for dbscan clustering mode
#[class-attrs-all]
#detected-min-w=4
#detected-min-h=4
#minBoxes=3
Per class configurations
#[class-attrs-0]
#pre-cluster-threshold=0.05
#eps=0.7
#dbscan-min-score=0.95
#[class-attrs-1]
#pre-cluster-threshold=0.05
#eps=0.7
#dbscan-min-score=0.5
#[class-attrs-2]
#pre-cluster-threshold=0.1
#eps=0.6
#dbscan-min-score=0.95
#[class-attrs-3]
#pre-cluster-threshold=0.05
#eps=0.7
#dbscan-min-score=0.5
I have set source and batch size to 60 in both of these files it still giving me 30 streams