I’m trying to run this model (from this github https:/-/github.com/AIZOOTech/FaceMaskDetection ) by using deepstream-app with these file. [can’t upload more than 3 links, please delete ‘-’ between / and / to access this repo]
deepstream_app_config_ssd_cam.txt (2.3 KB)
config_infer_primary_ssd_cam.txt (3.4 KB)
[cxz_labels.txt ](it’s just text file with string Mask and NoMask [can’t upload more than 3 links]) (11 Bytes)
and .engine file https://drive.google.com/drive/folders/158LJmbRT-q7biqT6sEbuYbLN6jPnWoI6?usp=sharing
at first time, i got problem about transform a model to .engine file. but that already solved.
next step I found that I need to custom my own parse-bbox-function, so i try to change code in a Deepstram example in this path
working with file name “nvdsinfer_custom_impl_ssd_cam/nvdsparsebbox_ssd.cpp”
but i can’t figure what i got from the buffer and how to get it properly.
How can i parse the class and location(top/left/height/width) to deepstream and my output properly.