Description
I am running DS 6.2 on Jetson Orin. I passed Onnx file in config file. Deepstream could generated engine file successfully but deepstream can’t run the pipeline to start inference and got the following error:
Runtime commands:
h: Print this help
q: Quit
p: Pause
r: Resume
** INFO: <bus_callback:239>: Pipeline ready
0:00:03.830428023 46006 0xaaab04fe5b00 WARN qtdemux qtdemux_types.c:239:qtdemux_type_get: unknown QuickTime node type pasp
0:00:03.830502584 46006 0xaaab04fe5b00 WARN qtdemux qtdemux.c:3250:qtdemux_parse_trex:<qtdemux0> failed to find fragment defaults for stream 1
Opening in BLOCKING MODE
0:00:03.866730226 46006 0xffff040529e0 WARN v4l2 gstv4l2object.c:4512:gst_v4l2_object_probe_caps:<nvv4l2decoder0:src> Failed to probe pixel aspect ratio with VIDIOC_CROPCAP: Unknown error -1
0:00:03.866778450 46006 0xffff040529e0 WARN v4l2 gstv4l2object.c:2398:gst_v4l2_object_add_interlace_mode:0xfffefc01a010 Failed to determine interlace mode
0:00:03.866804467 46006 0xffff040529e0 WARN v4l2 gstv4l2object.c:2398:gst_v4l2_object_add_interlace_mode:0xfffefc01a010 Failed to determine interlace mode
0:00:03.866824467 46006 0xffff040529e0 WARN v4l2 gstv4l2object.c:2398:gst_v4l2_object_add_interlace_mode:0xfffefc01a010 Failed to determine interlace mode
0:00:03.866842867 46006 0xffff040529e0 WARN v4l2 gstv4l2object.c:2398:gst_v4l2_object_add_interlace_mode:0xfffefc01a010 Failed to determine interlace mode
NvMMLiteOpen : Block : BlockType = 261
NVMEDIA: Reading vendor.tegra.display-size : status: 6
NvMMLiteBlockCreate : Block : BlockType = 261
0:00:03.971916810 46006 0xffff040529e0 WARN v4l2 gstv4l2object.c:4512:gst_v4l2_object_probe_caps:<nvv4l2decoder0:src> Failed to probe pixel aspect ratio with VIDIOC_CROPCAP: Unknown error -1
0:00:03.971977931 46006 0xffff040529e0 WARN v4l2 gstv4l2object.c:2398:gst_v4l2_object_add_interlace_mode:0xfffefc01a010 Failed to determine interlace mode
0:00:03.972003787 46006 0xffff040529e0 WARN v4l2 gstv4l2object.c:2398:gst_v4l2_object_add_interlace_mode:0xfffefc01a010 Failed to determine interlace mode
0:00:03.972018476 46006 0xffff040529e0 WARN v4l2 gstv4l2object.c:2398:gst_v4l2_object_add_interlace_mode:0xfffefc01a010 Failed to determine interlace mode
0:00:03.972032524 46006 0xffff040529e0 WARN v4l2 gstv4l2object.c:2398:gst_v4l2_object_add_interlace_mode:0xfffefc01a010 Failed to determine interlace mode
0:00:03.974525521 46006 0xffff040529e0 WARN v4l2videodec gstv4l2videodec.c:1880:gst_v4l2_video_dec_decide_allocation:<nvv4l2decoder0> Duration invalid, not setting latency
** INFO: <bus_callback:225>: Pipeline running
0:00:03.978452555 46006 0xffff040529e0 WARN v4l2bufferpool gstv4l2bufferpool.c:1114:gst_v4l2_buffer_pool_start:<nvv4l2decoder0:pool:src> Uncertain or not enough buffers, enabling copy threshold
NvMMLiteOpen : Block : BlockType = 4
===== NVMEDIA: NVENC =====
NvMMLiteBlockCreate : Block : BlockType = 4
0:00:04.004423148 46006 0xffff0800a180 WARN v4l2bufferpool gstv4l2bufferpool.c:1565:gst_v4l2_buffer_pool_dqbuf:<nvv4l2decoder0:pool:src> Driver should never set v4l2_buffer.field to ANY
0:00:04.005385147 46006 0xaaaae8daf1e0 WARN v4l2bufferpool gstv4l2bufferpool.c:1114:gst_v4l2_buffer_pool_start:<sink_sub_bin_encoder1:pool:src> Uncertain or not enough buffers, enabling copy threshold
Segmentation fault
Environment
TensorRT Version: 8.5.2-1+cuda11.4
GPU Type: Jetson Orin
Nvidia Driver Version: Jetson Orin
CUDA Version: 11.4
CUDNN Version: 8.6.0.166-1+cuda11.4 arm64
Operating System + Version: Ubuntu 20.04
Python Version (if applicable): NA
TensorFlow Version (if applicable): NA
PyTorch Version (if applicable): NA
Baremetal or Container (if container which image + tag): Baremetal
Steps To Reproduce
$ Deepstream-app -c deepstream-app-config.txt
$ cat deepstream-app-config.txt
[application]
enable-perf-measurement=1
perf-measurement-interval-sec=5
[tiled-display]
enable=0
rows=1
columns=1
width=1280
height=720
gpu-id=0
nvbuf-memory-type=0
[source0]
enable=1
type=3
uri=file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_720p.mp4
ream.mp4
num-sources=1
gpu-id=0
cudadec-memtype=0
[sink0]
enable=0
type=2
sync=0
gpu-id=0
nvbuf-memory-type=0
[sink1]
enable=1
type=3
#1=mp4 2=mkv
container=1
#1=h264 2=h265
codec=1
sync=0
#iframeinterval=10
bitrate=4000000
output-file=output_test.mp4
source-id=0
[osd]
enable=1
gpu-id=0
border-width=5
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
live-source=0
batch-size=1
batched-push-timeout=40000
width=1920
height=1080
enable-padding=0
nvbuf-memory-type=0
[primary-gie]
enable=1
gpu-id=0
gie-unique-id=1
nvbuf-memory-type=0
config-file=config_infer_primary_yoloV5.txt
[tests]
file-loop=0
config_infer_primary_yoloV5.txt:
[property]
gpu-id=0
net-scale-factor=0.0039215697906911373
model-color-format=0
onnx-file=yolov5lv6.1_img640_class9.onnx
model-engine-file=yolov5lv6.1_img640_class9_fp16.engine
#int8-calib-file=calib.table
labelfile-path=labels.txt
batch-size=1 # number of frames for inference
network-mode=2 # 0:fp32 1:int8 2:fp16
num-detected-classes=9
interval=0
gie-unique-id=1
process-mode=1 # 1:primary 2:secondary
network-type=0 # 0:detector 1: classifier
cluster-mode=2 # 2: NMS
maintain-aspect-ratio=1
symmetric-padding=1
#force-implicit-batch-dim=1
#workspace-size=1000
parse-bbox-func-name=NvDsInferParseYolo
#parse-bbox-func-name=NvDsInferParseYoloCuda
custom-lib-path=nvdsinfer_custom_impl_Yolo/libnvdsinfer_custom_impl_Yolo.so
engine-create-func-name=NvDsInferYoloCudaEngineGet
[class-attrs-all]
nms-iou-threshold=0.45
pre-cluster-threshold=0.25
topk=300