Please provide complete information as applicable to your setup.
• Hardware Platform (TX1)
• DeepStream Version 6.0.1
• JetPack Version (valid for Jetson only) 4.6.4
• TensorRT Version 8.2
• NVIDIA GPU Driver Version (valid for GPU only)
• Issue Type( questions, new requirements, bugs)
• How to reproduce the issue ? (This is for bugs. Including which sample app is using, the configuration files content, the command line used and other details for reproducing)
• Requirement details( This is for new requirement. Including the module name-for which plugin or for which sample application, the function description)
sudo deepstream-app -c deepstream_app_config_yoloV3_custom_tiny.txt /dev/video0
(deepstream-app:9255): GLib-GObject-WARNING **: 10:33:16.009: value “TRUE” of type ‘gboolean’ is invalid or out of range for property ‘qos’ of type ‘gboolean’
Unknown or legacy key specified ‘is-classifier’ for group [property]
Warn: ‘threshold’ parameter has been deprecated. Use ‘pre-cluster-threshold’ instead.
gstnvtracker: Loading low-level lib at /opt/nvidia/deepstream/deepstream-6.0/lib/libnvds_nvmultiobjecttracker.so
gstnvtracker: Batch processing is ON
gstnvtracker: Past frame output is ON
[NvMultiObjectTracker] Initialized
0:00:02.208917354 9255 0x18640b80 INFO nvinfer gstnvinfer.cpp:638:gst_nvinfer_logger:<primary_gie> NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::buildModel() <nvdsinfer_context_impl.cpp:1914> [UID = 1]: Trying to create engine from model files
Loading pre-trained weights…
Loading weights of yolov3-tiny complete!
Total Number of weights read : 8858734
Loading pre-trained weights…
Loading weights of yolov3-tiny complete!
Total Number of weights read : 8858734
Building Yolo network…
layer inp_size out_size weightPtr
(0) conv-bn-leaky 3 x 416 x 416 16 x 416 x 416 496
(1) maxpool 16 x 416 x 416 16 x 208 x 208 496
(2) conv-bn-leaky 16 x 208 x 208 32 x 208 x 208 5232
(3) maxpool 32 x 208 x 208 32 x 104 x 104 5232
(4) conv-bn-leaky 32 x 104 x 104 64 x 104 x 104 23920
(5) maxpool 64 x 104 x 104 64 x 52 x 52 23920
(6) conv-bn-leaky 64 x 52 x 52 128 x 52 x 52 98160
(7) maxpool 128 x 52 x 52 128 x 26 x 26 98160
(8) conv-bn-leaky 128 x 26 x 26 256 x 26 x 26 394096
(9) maxpool 256 x 26 x 26 256 x 13 x 13 394096
(10) conv-bn-leaky 256 x 13 x 13 512 x 13 x 13 1575792
(11) maxpool 512 x 13 x 13 512 x 13 x 13 1575792
(12) conv-bn-leaky 512 x 13 x 13 1024 x 13 x 13 6298480
(13) conv-bn-leaky 1024 x 13 x 13 256 x 13 x 13 6561648
(14) conv-bn-leaky 256 x 13 x 13 512 x 13 x 13 7743344
(15) conv-linear 512 x 13 x 13 255 x 13 x 13 7874159
(16) yolo 255 x 13 x 13 255 x 13 x 13 7874159
(17) route - 256 x 13 x 13 7874159
(18) conv-bn-leaky 256 x 13 x 13 128 x 13 x 13 7907439
(19) upsample 128 x 13 x 13 128 x 26 x 26 -
(20) route - 384 x 26 x 26 7907439
(21) conv-bn-leaky 384 x 26 x 26 256 x 26 x 26 8793199
(22) conv-linear 256 x 26 x 26 255 x 26 x 26 8858734
(23) yolo 255 x 26 x 26 255 x 26 x 26 8858734
Output yolo blob names :
yolo_17
yolo_24
Total number of yolo layers: 49
Building yolo network complete!
Building the TensorRT Engine…
Building complete!
0:01:07.568977459 9255 0x18640b80 INFO nvinfer gstnvinfer.cpp:638:gst_nvinfer_logger:<primary_gie> NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::buildModel() <nvdsinfer_context_impl.cpp:1947> [UID = 1]: serialize cuda engine to file: /opt/nvidia/deepstream/deepstream-6.0/sources/objectDetector_Yolo/model_b1_gpu0_fp32.engine successfully
INFO: [Implicit Engine Info]: layers num: 3
0 INPUT kFLOAT data 3x416x416
1 OUTPUT kFLOAT yolo_17 255x13x13
2 OUTPUT kFLOAT yolo_24 255x26x26
0:01:08.188864083 9255 0x18640b80 INFO nvinfer gstnvinfer_impl.cpp:313:notifyLoadModelStatus:<primary_gie> [UID 1]: Load new model:/opt/nvidia/deepstream/deepstream-6.0/sources/objectDetector_Yolo/config_infer_primary_yoloV3_custom_tiny.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)
**PERF: 0.00 (0.00)
** INFO: <bus_callback:194>: Pipeline ready
ERROR from source: Device ‘/dev/video0’ is busy
Debug info: gstv4l2object.c(3754): gst_v4l2_object_set_format_full (): /GstPipeline:pipeline/GstBin:multi_src_bin/GstBin:src_sub_bin0/GstURIDecodeBin:src_elem/GstV4l2Src:source:
Call to S_FMT failed for YUYV @ 1920x1080: Device or resource busy
ERROR from source: Internal data stream error.
Debug info: gstbasesrc.c(3055): gst_base_src_loop (): /GstPipeline:pipeline/GstBin:multi_src_bin/GstBin:src_sub_bin0/GstURIDecodeBin:src_elem/GstV4l2Src:source:
streaming stopped, reason not-negotiated (-4)
ERROR from typefind: Stream doesn’t contain enough data.
Debug info: gsttypefindelement.c(996): gst_type_find_element_chain_do_typefinding (): /GstPipeline:pipeline/GstBin:multi_src_bin/GstBin:src_sub_bin0/GstURIDecodeBin:src_elem/GstDecodeBin:decodebin0/GstTypeFindElement:typefind:
Can’t typefind stream
Quitting
[NvMultiObjectTracker] De-initialized
App run failed
i run this same error again
gst-launch-1.0 v4l2src device=/dev/video0 ! ‘video/x-raw,format=YUY2,width=640,height=480’ ! videoconvert ! ‘video/x-raw, width=640,height=480,format=NV12’ ! nvvideoconvert ! ‘video/x-raw(memory:NVMM),width=640,height=480’ ! fakesink