Issue While running the yolov7

[asimansari400097]

While Running the deepstream using yolo model there is a issue with some scaling factor (snap attached)

• Hardware Platform (GPU RTX 3090)
• DeepStream Version = 7.0
• TensorRT Version = 10.13.2.6
• NVIDIA GPU Driver Version = 550.163.01

Here is the Config File :

[property]
gpu-id=0
net-scale-factor=0.0039215697906911373
model-color-format=0
onnx-file=yolov7.onnx
model-engine-file=model_b1_gpu0_fp32.engine
#int8-calib-file=calib.table
labelfile-path=coco.txt
batch-size=1
network-mode=0
num-detected-classes=80
interval=0
gie-unique-id=1
process-mode=1
network-type=0
cluster-mode=2
maintain-aspect-ratio=1
symmetric-padding=1
#workspace-size=2000
parse-bbox-func-name=NvDsInferParseYolo
#parse-bbox-func-name=NvDsInferParseYoloCuda
custom-lib-path=nvdsinfer_custom_impl_Yolo/libnvdsinfer_custom_impl_Yolo.so
engine-create-func-name=NvDsInferYoloCudaEngineGet

[class-attrs-all]
nms-iou-threshold=0.45
pre-cluster-threshold=0.25
topk=300

[yuweiw]

Could you try our sample deepstream_tools?

[asimansari400097]

Thanks,

now it is running perfectly for One stream

But when i am trying to run 2 Streams it gives me an error,

I have tried the model with dynamic output and batch-size output both but it is not working

Error is like this

ERROR: [TRT]: 3: [optimizationProfile.cpp::setDimensions::119] Error Code 3: API Usage Error (Parameter check failed at: optimizer/api/optimizationProfile.cpp::setDimensions::119, condition: std::all_of(dims.d, dims.d + dims.nbDims, (int32_t x) noexcept { return x >= 0; }))ERROR: [TRT]: 3: [optimizationProfile.cpp::setDimensions::119] Error Code 3: API Usage Error (Parameter check failed at: optimizer/api/optimizationProfile.cpp::setDimensions::119, condition: std::all_of(dims.d, dims.d + dims.nbDims, (int32_t x) noexcept { return x >= 0; }))ERROR: [TRT]: 3: [optimizationProfile.cpp::setDimensions::119] Error Code 3: API Usage Error (Parameter check failed at: optimizer/api/optimizationProfile.cpp::setDimensions::119, condition: std::all_of(dims.d, dims.d + dims.nbDims, (int32_t x) noexcept { return x >= 0; }))ERROR: ../nvdsinfer/nvdsinfer_model_builder.cpp:1439 Explicit config dims is invalidERROR: ../nvdsinfer/nvdsinfer_model_builder.cpp:1120 Failed to configure builder optionsERROR: ../nvdsinfer/nvdsinfer_model_builder.cpp:821 failed to build trt engine.0:00:10.539849682 20739 0x608d9c2de5f0 ERROR nvinfer gstnvinfer.cpp:676:gst_nvinfer_logger: NvDsInferContext[UID 1]: Error in NvDsInferContextImpl::buildModel() <nvdsinfer_context_impl.cpp:2129> [UID = 1]: build engine file failed0:00:10.775039587 20739 0x608d9c2de5f0 ERROR nvinfer gstnvinfer.cpp:676:gst_nvinfer_logger: NvDsInferContext[UID 1]: Error in NvDsInferContextImpl::generateBackendContext() <nvdsinfer_context_impl.cpp:2215> [UID = 1]: build backend context failed0:00:10.776133848 20739 0x608d9c2de5f0 ERROR nvinfer gstnvinfer.cpp:676:gst_nvinfer_logger: NvDsInferContext[UID 1]: Error in NvDsInferContextImpl::initialize() <nvdsinfer_context_impl.cpp:1352> [UID = 1]: generate backend failed, check config file settings0:00:10.778514626 20739 0x608d9c2de5f0 WARN nvinfer gstnvinfer.cpp:912:gst_nvinfer_start: error: Failed to create NvDsInferContext instance0:00:10.778526709 20739 0x608d9c2de5f0 WARN nvinfer gstnvinfer.cpp:912:gst_nvinfer_start: error: Config file path: config_infer_primary_yoloV7.txt, NvDsInfer Error: NVDSINFER_CONFIG_FAILED[NvMultiObjectTracker] De-initialized

**PERF:  {‘stream0’: 0.0}

Error: gst-resource-error-quark: Failed to create NvDsInferContext instance (1): gstnvinfer.cpp(912): gst_nvinfer_start (): /GstPipeline:pipeline0/GstNvInfer:primary-inference:Config file path: config_infer_primary_yoloV7.txt, NvDsInfer Error: NVDSINFER_CONFIG_FAILEDExiting app 

[yuweiw]

Are you using the sample I attached or your own model? If you are using your own model, it might be that there is a problem with the dimensions of your model. You need to investigate it by yourself.

[asimansari400097]

Thanks,The issue was resolved and traced back to file conversion error.

Now, i would like to understand how nvdsanalytics operates in conjunction with PGIE and SGIE with in deepstream pipeline

[yuweiw]

Glad to hear that. If you have any other new questions, you can file a new topic.