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I read once on the forum that the test5 app supports 8 sources/streams. I tried 3 streams and it worked but whenever I try to increase the number of streams, I get the following messages on my terminal:
** WARN: <create_pipeline:1141>: Num of Tiles less than number of sources, readjusting to 4 rows, 1 columns
Warning: ‘input-dims’ parameter has been deprecated. Use ‘infer-dims’ instead.
Using winsys: x11
gstnvtracker: Loading low-level lib at /opt/nvidia/deepstream/deepstream-5.1/lib/libnvds_nvdcf.so
gstnvtracker: Batch processing is OFF
gstnvtracker: Past frame output is OFF
ERROR: Deserialize engine failed because file path: /opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/peoplenet/resnet34_peoplenet_pruned.etlt_b1_gpu0_int8.engine open error
0:00:01.975133859 429 0x5590f30f50 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/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/peoplenet/resnet34_peoplenet_pruned.etlt_b1_gpu0_int8.engine failed
0:00:01.975222714 429 0x5590f30f50 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/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/peoplenet/resnet34_peoplenet_pruned.etlt_b1_gpu0_int8.engine failed, try rebuild
0:00:01.975256621 429 0x5590f30f50 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
WARNING: INT8 not supported by platform. Trying FP16 mode.
WARNING: INT8 not supported by platform. Trying FP16 mode.
INFO: [TRT]: Some tactics do not have sufficient workspace memory to run. Increasing workspace size may increase performance, please check verbose output.
INFO: [TRT]: Detected 1 inputs and 2 output network tensors.
ERROR: Serialize engine failed because of file path: /opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/peoplenet/resnet34_peoplenet_pruned.etlt_b1_gpu0_fp16.engine opened error
0:01:21.574831667 429 0x5590f30f50 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/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/peoplenet/resnet34_peoplenet_pruned.etlt_b1_gpu0_fp16.engine
INFO: [Implicit Engine Info]: layers num: 3
0 INPUT kFLOAT input_1 3x544x960
1 OUTPUT kFLOAT output_bbox/BiasAdd 12x34x60
2 OUTPUT kFLOAT output_cov/Sigmoid 3x34x60
0:01:21.617685982 429 0x5590f30f50 INFO nvinfer gstnvinfer_impl.cpp:313:notifyLoadModelStatus:<primary_gie> [UID 1]: Load new model:/opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/config_infer_primary_peoplenet.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.
~~ CLOG[/dvs/git/dirty/git-master_linux/deepstream/sdk/src/utils/nvdcf/src/modules/NvDCF/NvDCF.cpp, NvDCF() @line 670]: !!![WARNING] Can’t open config file (/opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/tracker_config.yml). Will go ahead with default values
~~ CLOG[/dvs/git/dirty/git-master_linux/deepstream/sdk/src/utils/nvdcf/src/modules/NvDCF/NvDCF.cpp, NvDCF() @line 682]: !!![WARNING] Invalid low-level config file is provided. Will go ahead with default values
[NvDCF] Initialized
Enter: 0, Exit: 0
/dvs/git/dirty/git-master_linux/nvutils/nvbufsurftransform/nvbufsurftransform.cpp:3642: => Scale factor more than 16, use GPU for compositon
[NvTiler::Composite] ERROR: 352; NvBufSurfTransformComposite failed(-2)
ERROR from tiled_display_tiler: GstNvTiler: FATAL ERROR; NvTiler::Composite failed
Debug info: /dvs/git/dirty/git-master_linux/deepstream/sdk/src/gst-plugins/gst-nvtiler/gstnvtiler.cpp(662): gst_nvmultistreamtiler_transform (): /GstPipeline:pipeline/GstBin:tiled_display_bin/GstNvMultiStreamTiler:tiled_display_tiler
Quitting
~~ CLOG[/dvs/git/dirty/git-master_linux/deepstream/sdk/src/utils/nvdcf/src/modules/NvDCF/NvDCF.cpp, NvDCF() @line 670]: !!![WARNING] Can’t open config file (/opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/tracker_config.yml). Will go ahead with default values
~~ CLOG[/dvs/git/dirty/git-master_linux/deepstream/sdk/src/utils/nvdcf/src/modules/NvDCF/NvDCF.cpp, NvDCF() @line 682]: !!![WARNING] Invalid low-level config file is provided. Will go ahead with default values
[NvDCF] Initialized
[NvDCF] De-initialized
[NvDCF] De-initialized
App run failed
Can you please confirm what is the maximum number of streams supported by the app? and if this error is related to the number of streams I am using which is 4 in this case.
Thans
The text was updated successfully, but these errors were encountered:
**• Hardware Platform: Jetson Nano
**• DeepStream Version:5.1
**• JetPack Version:450
Hi,
I read once on the forum that the test5 app supports 8 sources/streams. I tried 3 streams and it worked but whenever I try to increase the number of streams, I get the following messages on my terminal:
** WARN: <create_pipeline:1141>: Num of Tiles less than number of sources, readjusting to 4 rows, 1 columns
Warning: ‘input-dims’ parameter has been deprecated. Use ‘infer-dims’ instead.
Using winsys: x11
gstnvtracker: Loading low-level lib at /opt/nvidia/deepstream/deepstream-5.1/lib/libnvds_nvdcf.so
gstnvtracker: Batch processing is OFF
gstnvtracker: Past frame output is OFF
ERROR: Deserialize engine failed because file path: /opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/peoplenet/resnet34_peoplenet_pruned.etlt_b1_gpu0_int8.engine open error
0:00:01.975133859 429 0x5590f30f50 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/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/peoplenet/resnet34_peoplenet_pruned.etlt_b1_gpu0_int8.engine failed
0:00:01.975222714 429 0x5590f30f50 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/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/peoplenet/resnet34_peoplenet_pruned.etlt_b1_gpu0_int8.engine failed, try rebuild
0:00:01.975256621 429 0x5590f30f50 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
WARNING: INT8 not supported by platform. Trying FP16 mode.
WARNING: INT8 not supported by platform. Trying FP16 mode.
INFO: [TRT]: Some tactics do not have sufficient workspace memory to run. Increasing workspace size may increase performance, please check verbose output.
INFO: [TRT]: Detected 1 inputs and 2 output network tensors.
ERROR: Serialize engine failed because of file path: /opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/peoplenet/resnet34_peoplenet_pruned.etlt_b1_gpu0_fp16.engine opened error
0:01:21.574831667 429 0x5590f30f50 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/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/peoplenet/resnet34_peoplenet_pruned.etlt_b1_gpu0_fp16.engine
INFO: [Implicit Engine Info]: layers num: 3
0 INPUT kFLOAT input_1 3x544x960
1 OUTPUT kFLOAT output_bbox/BiasAdd 12x34x60
2 OUTPUT kFLOAT output_cov/Sigmoid 3x34x60
0:01:21.617685982 429 0x5590f30f50 INFO nvinfer gstnvinfer_impl.cpp:313:notifyLoadModelStatus:<primary_gie> [UID 1]: Load new model:/opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/config_infer_primary_peoplenet.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)
Mon Nov 29 17:12:48 2021
**PERF: 0.00 (0.00) 0.00 (0.00) 0.00 (0.00) 0.00 (0.00)
** INFO: <bus_callback:181>: Pipeline ready
Opening in BLOCKING MODE
Opening in BLOCKING MODE
Opening in BLOCKING MODE
Opening in BLOCKING MODE
Opening in BLOCKING MODE
Opening in BLOCKING MODE
Opening in BLOCKING MODE
NvMMLiteOpen : Block : BlockType = 261
NvMMLiteOpen : Block : BlockType = 261
Opening in BLOCKING MODE
NvMMLiteOpen : Block : BlockType = 261
NvMMLiteOpen : Block : BlockType = 261
NVMEDIA: Reading vendor.tegra.display-size : status: 6
NVMEDIA: Reading vendor.tegra.display-size : status: 6
NVMEDIA: Reading vendor.tegra.display-size : status: 6
NvMMLiteBlockCreate : Block : BlockType = 261
NVMEDIA: Reading vendor.tegra.display-size : status: 6
NvMMLiteBlockCreate : Block : BlockType = 261
NvMMLiteBlockCreate : Block : BlockType = 261
NvMMLiteBlockCreate : Block : BlockType = 261
** INFO: <bus_callback:167>: Pipeline running
~~ CLOG[/dvs/git/dirty/git-master_linux/deepstream/sdk/src/utils/nvdcf/src/modules/NvDCF/NvDCF.cpp, NvDCF() @line 670]: !!![WARNING] Can’t open config file (/opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/tracker_config.yml). Will go ahead with default values
~~ CLOG[/dvs/git/dirty/git-master_linux/deepstream/sdk/src/utils/nvdcf/src/modules/NvDCF/NvDCF.cpp, NvDCF() @line 682]: !!![WARNING] Invalid low-level config file is provided. Will go ahead with default values
[NvDCF] Initialized
Enter: 0, Exit: 0
/dvs/git/dirty/git-master_linux/nvutils/nvbufsurftransform/nvbufsurftransform.cpp:3642: => Scale factor more than 16, use GPU for compositon
[NvTiler::Composite] ERROR: 352; NvBufSurfTransformComposite failed(-2)
ERROR from tiled_display_tiler: GstNvTiler: FATAL ERROR; NvTiler::Composite failed
Debug info: /dvs/git/dirty/git-master_linux/deepstream/sdk/src/gst-plugins/gst-nvtiler/gstnvtiler.cpp(662): gst_nvmultistreamtiler_transform (): /GstPipeline:pipeline/GstBin:tiled_display_bin/GstNvMultiStreamTiler:tiled_display_tiler
Quitting
~~ CLOG[/dvs/git/dirty/git-master_linux/deepstream/sdk/src/utils/nvdcf/src/modules/NvDCF/NvDCF.cpp, NvDCF() @line 670]: !!![WARNING] Can’t open config file (/opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/tracker_config.yml). Will go ahead with default values
~~ CLOG[/dvs/git/dirty/git-master_linux/deepstream/sdk/src/utils/nvdcf/src/modules/NvDCF/NvDCF.cpp, NvDCF() @line 682]: !!![WARNING] Invalid low-level config file is provided. Will go ahead with default values
[NvDCF] Initialized
[NvDCF] De-initialized
[NvDCF] De-initialized
App run failed
Can you please confirm what is the maximum number of streams supported by the app? and if this error is related to the number of streams I am using which is 4 in this case.
Thans
The text was updated successfully, but these errors were encountered: