Please provide complete information as applicable to your setup.
• Hardware Platform : GTX1080TI
• DeepStream version : 5.0
• TensorRT version : 7.0
• NVIDIA GPU Driver Version : 440.33.01
• Issue type : bugs
I am running deepstream_test-1, I followed all of this README to execute on deepstream docker
Input:
python3 deepstream_test_1.py /opt/nvidia/deepstream/deepstream-5.0/samples/streams/sample_1080p_h264.mp4
Output:
Creating Pipeline
Creating Source
Creating H264Parser
Creating Decoder
Creating EGLSink
Playing file /opt/nvidia/deepstream/deepstream-5.0/samples/streams/sample_1080p_h264.mp4
Error: Could not parse model engine file path
Failed to parse group property
** ERROR: <gst_nvinfer_parse_config_file:1242>: failed
Adding elements to PipelineLinking elements in the Pipeline
Starting pipeline
0:00:00.236785586 2784 0x19b2560 WARN nvinfer gstnvinfer.cpp:766:gst_nvinfer_start: error: Configuration file parsing failed
0:00:00.236801600 2784 0x19b2560 WARN nvinfer gstnvinfer.cpp:766:gst_nvinfer_start: error: Config file path: dstest1_pgie_config.txt
Error: gst-library-error-quark: Configuration file parsing failed (5): gstnvinfer.cpp(766): gst_nvinfer_start (): /GstPipeline:pipeline0/GstNvInfer:primary-inference:
Config file path: dstest1_pgie_config.txt
dstest1_pgie_config.txt:
[property]
gpu-id=0
net-scale-factor=0.0039215697906911373
model-file=/opt/nvidia/deepstream/deepstream-5.0/samples/models/Primary_Detector/resnet10.caffemodel
proto-file=/opt/nvidia/deepstream/deepstream-5.0/samples/models/Primary_Detector/resnet10.prototxt
model-engine-file=/opt/nvidia/deepstream/deepstream-5.0/samples/models/Primary_Detector/resnet10.caffemodel_b1_gpu0_int8.engine
labelfile-path=/opt/nvidia/deepstream/deepstream-5.0/samples/models/Primary_Detector/labels.txt
int8-calib-file=/opt/nvidia/deepstream/deepstream-5.0/samples/models/Primary_Detector/cal_trt.bin
force-implicit-batch-dim=1
batch-size=1
network-mode=1
num-detected-classes=4
interval=0
gie-unique-id=1
output-blob-names=conv2d_bbox;conv2d_cov/Sigmoid
#scaling-filter=0
#scaling-compute-hw=0[class-attrs-all]
pre-cluster-threshold=0.2
eps=0.2
group-threshold=1
So, I have 2 doubts:
- the code automatically generate mdoel-engine-file? because I dont have it in that path.
- About the last error (
/GstNvInfer:primary-inference
), I had the same one for deepstream-test4, if you can help, thanks