Hello.
I’m trying to test deepstream sample app with 4 cameras(e-concsystems e-CAM 130A-CUXVR_QUAD) on our Xavier AGX.
I’m using Jetpack 4.5.1 version.
I modified source1_csi_dec_infer_resnet_int8.txt of deepstream-5.1/samples/configs/deepstream-app.
The code after modification is below. I just added sources and change the numbers.
[application]
enable-perf-measurement=1
perf-measurement-interval-sec=5
#gie-kitti-output-dir=streamscl
[tiled-display]
enable=1
rows=2
columns=2
width=1920
height=1080
[source0]
enable=1
#Type - 1=CameraV4L2 2=URI 3=MultiURI 4=RTSP 5=CSI
type=5
camera-width=1920
camera-height=1080
camera-fps-n=60
camera-fps-d=1
camera-csi-sensor-id=0
[source1]
enable=1
#Type - 1=CameraV4L2 2=URI 3=MultiURI 4=RTSP 5=CSI
type=5
camera-width=1920
camera-height=1080
camera-fps-n=60
camera-fps-d=1
camera-csi-sensor-id=1
[source2]
enable=1
#Type - 1=CameraV4L2 2=URI 3=MultiURI 4=RTSP 5=CSI
type=5
camera-width=1920
camera-height=1080
camera-fps-n=60
camera-fps-d=1
camera-csi-sensor-id=2
[source3]
enable=1
#Type - 1=CameraV4L2 2=URI 3=MultiURI 4=RTSP 5=CSI
type=5
camera-width=1920
camera-height=1080
camera-fps-n=60
camera-fps-d=1
camera-csi-sensor-id=3
[sink0]
enable=1
#Type - 1=FakeSink 2=EglSink 3=File 4=RTSPStreaming 5=Overlay
type=5
sync=0
display-id=0
offset-x=0
offset-y=0
width=0
height=0
overlay-id=1
source-id=0
And Xavier can recognize the cameras.
$ ls /dev/vi*
/dev/video0 /dev/video1 /dev/video2 /dev/video3
$ dmesg | grep -i sensor
[ 8.893491] SENSOR ID=0x0265
[ 9.026729] ar1335 30-0042: Detected ar1335 sensor
[ 11.275624] SENSOR ID=0x0265
[ 11.390509] ar1335 32-0042: Detected ar1335 sensor
[ 13.639013] SENSOR ID=0x0265
[ 13.745773] ar1335 34-0042: Detected ar1335 sensor
[ 15.995029] SENSOR ID=0x0265
[ 16.101364] ar1335 35-0042: Detected ar1335 sensor
But the sample app is not working. Also the original app is not working.
$ deepstream-app -c oml_csi_test.txt
(deepstream-app:13745): GLib-GObject-WARNING **: 14:21:33.106: g_object_set_is_valid_property: object class ‘GstNvArgusCameraSrc’ has no property named ‘maxperf’
(deepstream-app:13745): GLib-GObject-WARNING **: 14:21:33.110: g_object_set_is_valid_property: object class ‘GstNvArgusCameraSrc’ has no property named ‘maxperf’
(deepstream-app:13745): GLib-GObject-WARNING **: 14:21:33.112: g_object_set_is_valid_property: object class ‘GstNvArgusCameraSrc’ has no property named ‘maxperf’
(deepstream-app:13745): GLib-GObject-WARNING **: 14:21:33.113: g_object_set_is_valid_property: object class ‘GstNvArgusCameraSrc’ has no property named ‘maxperf’
ERROR: Deserialize engine failed because file path: /opt/nvidia/deepstream/deepstream-5.1/samples/configs/deepstream-app/…/…/models/Primary_Detector/resnet10.caffemodel_b30_gpu0_int8.engine open error
0:00:01.888819345 13745 0x3d60e060 WARN nvinfer gstnvinfer.cpp:616:gst_nvinfer_logger:<primary_gie> NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::deserializeEngineAndBackend() <nvdsinfer_context_impl.cpp:1691> [UID = 1]: deserialize engine from file :/opt/nvidia/deepstream/deepstream-5.1/samples/configs/deepstream-app/…/…/models/Primary_Detector/resnet10.caffemodel_b30_gpu0_int8.engine failed
0:00:01.889172995 13745 0x3d60e060 WARN nvinfer gstnvinfer.cpp:616:gst_nvinfer_logger:<primary_gie> NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::generateBackendContext() <nvdsinfer_context_impl.cpp:1798> [UID = 1]: deserialize backend context from engine from file :/opt/nvidia/deepstream/deepstream-5.1/samples/configs/deepstream-app/…/…/models/Primary_Detector/resnet10.caffemodel_b30_gpu0_int8.engine failed, try rebuild
0:00:01.889419984 13745 0x3d60e060 INFO nvinfer gstnvinfer.cpp:619:gst_nvinfer_logger:<primary_gie> NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::buildModel() <nvdsinfer_context_impl.cpp:1716> [UID = 1]: Trying to create engine from model files
INFO: [TRT]: Reading Calibration Cache for calibrator: EntropyCalibration2
INFO: [TRT]: Generated calibration scales using calibration cache. Make sure that calibration cache has latest scales.
INFO: [TRT]: To regenerate calibration cache, please delete the existing one. TensorRT will generate a new calibration cache.
INFO: [TRT]:
INFO: [TRT]: --------------- Layers running on DLA:
INFO: [TRT]:
INFO: [TRT]: --------------- Layers running on GPU:
INFO: [TRT]: conv1 + activation_1/Relu, block_1a_conv_1 + activation_2/Relu, block_1a_conv_2, block_1a_conv_shortcut + add_1 + activation_3/Relu, block_2a_conv_1 + activation_4/Relu, block_2a_conv_2, block_2a_conv_shortcut + add_2 + activation_5/Relu, block_3a_conv_1 + activation_6/Relu, block_3a_conv_2, block_3a_conv_shortcut + add_3 + activation_7/Relu, block_4a_conv_1 + activation_8/Relu, block_4a_conv_2, block_4a_conv_shortcut + add_4 + activation_9/Relu, conv2d_cov, conv2d_cov/Sigmoid, conv2d_bbox,
INFO: [TRT]: Detected 1 inputs and 2 output network tensors.
ERROR: Serialize engine failed because of file path: /opt/nvidia/deepstream/deepstream-5.1/samples/models/Primary_Detector/resnet10.caffemodel_b1_gpu0_int8.engine opened error
0:00:16.562224388 13745 0x3d60e060 WARN nvinfer gstnvinfer.cpp:616:gst_nvinfer_logger:<primary_gie> NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::buildModel() <nvdsinfer_context_impl.cpp:1744> [UID = 1]: failed to serialize cude engine to file: /opt/nvidia/deepstream/deepstream-5.1/samples/models/Primary_Detector/resnet10.caffemodel_b1_gpu0_int8.engine
INFO: [Implicit Engine Info]: layers num: 3
0 INPUT kFLOAT input_1 3x368x640
1 OUTPUT kFLOAT conv2d_bbox 16x23x40
2 OUTPUT kFLOAT conv2d_cov/Sigmoid 4x23x40
0:00:16.577461607 13745 0x3d60e060 INFO nvinfer gstnvinfer_impl.cpp:313:notifyLoadModelStatus:<primary_gie> [UID 1]: Load new model:/opt/nvidia/deepstream/deepstream-5.1/samples/configs/deepstream-app/config_infer_primary.txt sucessfully
Runtime commands:
h: Print this help
q: Quit
p: Pause
r: Resume
NOTE: To expand a source in the 2D tiled display and view object details, left-click on the source.
To go back to the tiled display, right-click anywhere on the window.**PERF: FPS 0 (Avg) FPS 1 (Avg) FPS 2 (Avg) FPS 3 (Avg)
**PERF: 0.00 (0.00) 0.00 (0.00) 0.00 (0.00) 0.00 (0.00)
** INFO: <bus_callback:181>: Pipeline ready
** INFO: <bus_callback:167>: Pipeline running
Error generated. /dvs/git/dirty/git-master_linux/multimedia/nvgstreamer/gst-nvarguscamera/gstnvarguscamerasrc.cpp, execute:645 No cameras available
Error generated. /dvs/git/dirty/git-master_linux/multimedia/nvgstreamer/gst-nvarguscamera/gstnvarguscamerasrc.cpp, execute:645 No cameras available
(deepstream-app:13745): GStreamer-CRITICAL **: 14:21:49.667: gst_mini_object_set_qdata: assertion ‘object != NULL’ failed
Error generated. /dvs/git/dirty/git-master_linux/multimedia/nvgstreamer/gst-nvarguscamera/gstnvarguscamerasrc.cpp, execute:645 No cameras available
(deepstream-app:13745): GStreamer-CRITICAL **: 14:21:49.667: gst_mini_object_set_qdata: assertion ‘object != NULL’ failed
(deepstream-app:13745): GStreamer-CRITICAL **: 14:21:49.667: gst_mini_object_set_qdata: assertion ‘object != NULL’ failed
Error generated. /dvs/git/dirty/git-master_linux/multimedia/nvgstreamer/gst-nvarguscamera/gstnvarguscamerasrc.cpp, execute:645 No cameras available
(deepstream-app:13745): GStreamer-CRITICAL **: 14:21:49.670: gst_mini_object_set_qdata: assertion ‘object != NULL’ failed
** INFO: <bus_callback:204>: Received EOS. Exiting …
Quitting
App run successful
Please give us some advice. Thanks.
