Please provide complete information as applicable to your setup.
**• Hardware Platform (Jetson / GPU) GPU v100
**• DeepStream Version deepstream-6.0
• TensorRT Version11.4
Run the deepstream app program on the V100 graphics card. After adding line
drawing, the GPU UTI becomes very large
What have you added to draw line? Which sample code?
Can you share some log or picture to show your issue?
Made an OSD probe function, the code is as follows：
typedef struct{
int x;
int y;
}point_t;
void function_display_line(NvDsBatchMeta *batch_meta, point_t point[], int n, NvOSD_ColorParams display_line_color, int line_width)
{
NvDsDisplayMeta *display_meta = NULL;
NvDsMetaList * l_frame = NULL;
int i = 0;
for (l_frame = batch_meta->frame_meta_list; l_frame != NULL; l_frame = l_frame->next) {
NvDsFrameMeta *frame_meta = (NvDsFrameMeta *) (l_frame->data);
if (!frame_meta) {
continue;
}
display_meta = nvds_acquire_display_meta_from_pool(batch_meta);
NvOSD_LineParams *line_params;
line_params = display_meta->line_params;
display_meta->num_lines = 0;
for(i = 0; i < (n/2); i++) {
if (i >= MAX_ELEMENTS_IN_DISPLAY_META) {
break;
}
//printf("111111111111display_meta->num_lines=%u\n", display_meta->num_lines);
line_params[i].x1 = point[2*i].x;
line_params[i].y1 = point[2*i].y;
line_params[i].x2 = point[2*i + 1].x;
line_params[i].y2 = point[2*i + 1].y;
line_params[i].line_width = line_width;
line_params[i].line_color = display_line_color;
}
display_meta->num_lines = i;
nvds_add_display_meta_to_frame(frame_meta, display_meta);
}
}
static GstPadProbeReturn pipeline_osd_sink_pad_buffer_probe (GstPad * pad, GstPadProbeInfo * info, gpointer u_data)
{
GstBuffer *buf = (GstBuffer *) info->data;
NvDsBatchMeta *batch_meta = gst_buffer_get_nvds_batch_meta (buf);
if (!batch_meta) {
return;
}
point_t point[8] = {{50, 100}, {600, 100}, {600, 100}, {200, 600}, {200, 100}, {200, 100}, {200, 100}, {200, 100}};
function_display_line(batch_meta, point, 8, (NvOSD_ColorParams){0.2, 0.8, 0.2, 1}, 4);
return GST_PAD_PROBE_OK;
}
What is the issue when you run your code?
No error is reported, but the GPU UTI will become larger. For example, on the Tesla T4 GPU, I can only process 6 channels of 2K resolution video at most, and the output frame rate is 24 frames. However, after adding line drawing, the output frame rate will be reduced from 24 frames to 18 frames, and the GPU UTI will also become larger
This is a configuration file for processing 8-way 2K cameras. Set one camera and one RTSP to output separately
################################################################################
# Copyright (c) 2019-2020, 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.
################################################################################
[application]
enable-perf-measurement=1
perf-measurement-interval-sec=5
#gie-kitti-output-dir=streamscl
[tiled-display]
enable=0
rows=1
columns=2
width=1280
height=720
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=3
uri=rtsp://guest:Guest123@172.1.7.123:554/h264/ch1/main/av_stream
num-sources=1
drop-frame-interval=0
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
[source1]
enable=1
#Type - 1=CameraV4L2 2=URI 3=MultiURI 4=RTSP
type=3
uri=rtsp://guest:Guest123@172.1.6.163:554/h264/ch1/main/av_stream
#uri=rtsp://admin:infiled8899@10.10.150.112:554/h264/ch1/main/av_stream
num-sources=1
drop-frame-interval=0
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
[source2]
enable=1
#Type - 1=CameraV4L2 2=URI 3=MultiURI 4=RTSP
type=3
uri=rtsp://guest:Guest123@172.1.9.133:554/h264/ch1/main/av_stream
num-sources=1
drop-frame-interval=0
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
[source3]
enable=1
#Type - 1=CameraV4L2 2=URI 3=MultiURI 4=RTSP
type=3
uri=rtsp://guest:Guest123@172.1.7.54:554/h264/ch1/main/av_stream
#uri=rtsp://admin:infiled8899@10.10.150.112:554/h264/ch1/main/av_stream
num-sources=1
drop-frame-interval=0
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
[source4]
enable=1
#Type - 1=CameraV4L2 2=URI 3=MultiURI 4=RTSP
type=3
uri=rtsp://guest:Guest123@172.1.5.63:554/h264/ch1/main/av_stream
num-sources=1
drop-frame-interval=0
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
[source5]
enable=1
#Type - 1=CameraV4L2 2=URI 3=MultiURI 4=RTSP
type=3
uri=rtsp://guest:Guest123@172.1.6.84:554/h264/ch1/main/av_stream
#uri=rtsp://admin:infiled8899@10.10.150.112:554/h264/ch1/main/av_stream
num-sources=1
drop-frame-interval=0
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
[source6]
enable=1
#Type - 1=CameraV4L2 2=URI 3=MultiURI 4=RTSP
type=3
uri=rtsp://guest:Guest123@172.1.6.84:554/h264/ch1/main/av_stream
#uri=rtsp://admin:infiled8899@10.10.150.112:554/h264/ch1/main/av_stream
num-sources=1
drop-frame-interval=0
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
[source7]
enable=1
#Type - 1=CameraV4L2 2=URI 3=MultiURI 4=RTSP
type=3
uri=rtsp://guest:Guest123@172.1.6.84:554/h264/ch1/main/av_stream
#uri=rtsp://admin:infiled8899@10.10.150.112:554/h264/ch1/main/av_stream
num-sources=1
drop-frame-interval=0
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 4=RTSPStreaming
type=4
source-id=0
#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
[sink1]
enable=1
#Type - 1=FakeSink 2=EglSink 3=File 4=RTSPStreaming
type=4
source-id=1
#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=8555
udp-port=5401
[sink2]
enable=1
#Type - 1=FakeSink 2=EglSink 3=File 4=RTSPStreaming
type=4
source-id=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=0
# set below properties in case of RTSPStreaming
rtsp-port=8556
udp-port=5402
[sink3]
enable=1
#Type - 1=FakeSink 2=EglSink 3=File 4=RTSPStreaming
type=4
source-id=3
#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=8557
udp-port=5403
[sink4]
enable=1
#Type - 1=FakeSink 2=EglSink 3=File 4=RTSPStreaming
type=4
source-id=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=8558
udp-port=5404
[sink5]
enable=1
#Type - 1=FakeSink 2=EglSink 3=File 4=RTSPStreaming
type=4
source-id=5
#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=8559
udp-port=5405
[sink6]
enable=1
#Type - 1=FakeSink 2=EglSink 3=File 4=RTSPStreaming
type=4
source-id=6
#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=8560
udp-port=5406
[sink7]
enable=1
#Type - 1=FakeSink 2=EglSink 3=File 4=RTSPStreaming
type=4
source-id=7
#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=8561
udp-port=5407
[osd]
enable=1
gpu-id=0
border-width=2
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=8
##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=2560
height=1440
#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=resnet10.caffemodel_b8_gpu0_int8.engine
batch-size=8
#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.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/lib/libnvds_mot_iou.so
#ll-lib-file=/opt/nvidia/deepstream/deepstream/lib/libnvds_nvdcf.so
#ll-lib-file=/opt/nvidia/deepstream/deepstream/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
#deepstream-6.x
ll-lib-file=/opt/nvidia/deepstream/deepstream/lib/libnvds_nvmultiobjecttracker.so
# ll-config-file required to set different tracker types
#ll-config-file=/opt/nvidia/deepstream/deepstream/samples/configs/deepstream-app/config_tracker_IOU.yml
ll-config-file=/opt/nvidia/deepstream/deepstream/samples/configs/deepstream-app/config_tracker_NvDCF_perf.yml
# ll-config-file=/opt/nvidia/deepstream/deepstream/samples/configs/deepstream-app/config_tracker_NvDCF_accuracy.yml
# ll-config-file=/opt/nvidia/deepstream/deepstream/samples/configs/deepstream-app/config_tracker_DeepSORT.yml
gpu-id=0
#enable-batch-process and enable-past-frame applicable to DCF only
enable-batch-process=0
enable-past-frame=0
display-tracking-id=0
[tests]
file-loop=0
Can you share several images to show your issue?
There is no update from you for a period, assuming this is not an issue any more.
Hence we are closing this topic. If need further support, please open a new one.
Thanks
Can you use “nvidia-smi dmon” to view the GPU loading while running your case? Please share the loading data to us.
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