Thanks for your reply @Amycao.
This is the custom 3D model with the help of TAO training. Firstly I was getting this error when I executed it in deepstream -
WARNING: nvdsinfer_backend.cpp:157 Backend context bufferIdx(0) request dims:1x96x224x224 is out of range, [min: 1x9x224x224, max: 1x9x224x224]
ERROR: nvdsinfer_backend.cpp:472 Failed to enqueue buffer in fulldims mode because binding idx: 0 with batchDims: 1x96x224x224 is not supported
ERROR: nvdsinfer_context_impl.cpp:1711 Infer context enqueue buffer failed, nvinfer error:NVDSINFER_INVALID_PARAMS
0:00:18.131974696 4773 0x55baf1f3acc0 WARN nvinfer gstnvinfer.cpp:2009:gst_nvinfer_process_tensor_input: error: Failed to queue input batch for inferencing
ERROR from element primary-nvinference-engine: Failed to queue input batch for inferencing
Error details: gstnvinfer.cpp(2009): gst_nvinfer_process_tensor_input (): /GstPipeline:preprocess-test-pipeline/GstNvInfer:primary-nvinference-engine
Returned, stopping playback
sequence_image_process.cpp:586, [INFO: CUSTOM_LIB] SequenceImagePreprocess is deinitializing
Deleting pipeline
Then I found some help via this forum - Issue with Deepstream Inference of custom 3D action recognition model
and that’s why made the changes in the network-input-shape.
And now the error is related to Configuration file parsing failed