Please provide complete information as applicable to your setup.
• Hardware Platform: RTX 2080
• DeepStream Version: 5.0
• NVIDIA GPU Driver Version (valid for GPU only): 440.33.01
• Issue Type( questions, new requirements, bugs)
I am testing out a few of my models but there seems to be a difference of few pixels in output which can negatively impact the accuracy of the models and also secondary inference models are very sensitive to the output of primary inference.
I have tried the same with ssd_inception_v2 model provided in deepstream models_repo. Even there I find the raw output(before postprocessing) to be slightly different from the python inference. I have used the sample_720p.jpg to compare the result.
here is the python script-
infer.txt (5.9 KB)
I use config_infer_primary_detector_ssd_inception_v2_coco_2018_01_28.txt for deepstream inference and print the raw inference output in nvdsinfer_custombboxparser.cpp to compare.