Please provide complete information as applicable to your setup.
• Jetson Xavier NX
• DeepStream V5.1
• JetPack Version 4.5.1
• Unable to render detections with custom onnx model export from pytorch
I’ve created a custom detection dataset following the jetson-inference from dustynv.
When I run the detectnet program from the above example I am able to detect my trained objects. I’ve since tried to import the onnx model into the usb deepstream example.
Below if my pgie configuration file:
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# DEALINGS IN THE SOFTWARE.
################################################################################
# Following properties are mandatory when engine files are not specified:
# int8-calib-file(Only in INT8)
# Caffemodel mandatory properties: model-file, proto-file, output-blob-names
# UFF: uff-file, input-dims, uff-input-blob-name, output-blob-names
# ONNX: onnx-file
#
# Mandatory properties for detectors:
# num-detected-classes
#
# Optional properties for detectors:
# cluster-mode(Default=Group Rectangles), interval(Primary mode only, Default=0)
# custom-lib-path,
# parse-bbox-func-name
#
# Mandatory properties for classifiers:
# classifier-threshold, is-classifier
#
# Optional properties for classifiers:
# classifier-async-mode(Secondary mode only, Default=false)
#
# Optional properties in secondary mode:
# operate-on-gie-id(Default=0), operate-on-class-ids(Defaults to all classes),
# input-object-min-width, input-object-min-height, input-object-max-width,
# input-object-max-height
#
# Following properties are always recommended:
# batch-size(Default=1)
#
# Other optional properties:
# net-scale-factor(Default=1), network-mode(Default=0 i.e FP32),
# model-color-format(Default=0 i.e. RGB) model-engine-file, labelfile-path,
# mean-file, gie-unique-id(Default=0), offsets, process-mode (Default=1 i.e. primary),
# custom-lib-path, network-mode(Default=0 i.e FP32)
#
# The values in the config file are overridden by values set through GObject
# properties.
[property]
gpu-id=0
net-scale-factor=0.0039215697906911373
onnx-file=./models/ssd-mobilenet.onnx
model-engine-file=./models/ssd-mobilenet.onnx_b1_gpu0_fp32.engine
labelfile-path=./models/labels.txt
batch-size=1
network-mode=0
num-detected-classes=2
model-color-format=0
interval=0
gie-unique-id=1
classifier-threshold=0.01
network-type=1
process-mode=1
output-blob-names=scores;boxes
parse-bbox-func-name=NvDsInferParseCustomONNX
custom-lib-path=/opt/nvidia/deepstream/deepstream-5.1/sources/nvdsinfer_custom_impl_onnx/nvd/libnvdsinfer_custom_impl_onnx.so
[class-attrs-all]
pre-cluster-threshold=0.2
eps=0.2
group-threshold=1
I am able to start the script and have it run the video feed however no detection’s are ever reported. Below if the output from the script startup:
Creating Pipeline
Creating Source
Creating Video Converter
Creating EGLSink
Playing cam /dev/video0
Adding elements to Pipeline
Linking elements in the Pipeline
Starting pipeline
Using winsys: x11
0:00:04.969834401 18149 0x7f74003ea0 INFO nvinfer gstnvinfer.cpp:619:gst_nvinfer_logger:<primary-inference> NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::deserializeEngineAndBackend() <nvdsinfer_context_impl.cpp:1702> [UID = 1]: deserialized trt engine from :/home/drone1/Documents/deepstream-test1-usbcam/models/ssd-mobilenet.onnx_b1_gpu0_fp32.engine
INFO: [Implicit Engine Info]: layers num: 3
0 INPUT kFLOAT input_0 3x300x300
1 OUTPUT kFLOAT scores 3000x2
2 OUTPUT kFLOAT boxes 3000x4
0:00:04.970064803 18149 0x7f74003ea0 INFO nvinfer gstnvinfer.cpp:619:gst_nvinfer_logger:<primary-inference> NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::generateBackendContext() <nvdsinfer_context_impl.cpp:1806> [UID = 1]: Use deserialized engine model: /home/drone1/Documents/deepstream-test1-usbcam/models/ssd-mobilenet.onnx_b1_gpu0_fp32.engine
0:00:04.978146033 18149 0x7f74003ea0 INFO nvinfer gstnvinfer_impl.cpp:313:notifyLoadModelStatus:<primary-inference> [UID 1]: Load new model:dstest1_pgie_config.txt sucessfully
I followed this thread as an example however unlike in that thread I am not able to get any reported detections.
I am hoping for some guidance on what is required in the pgie configuration file in order to properly import an onnx model or guidance on how to properly build an onnx export for deepstream.
Thanks for your assistance!
