Hi. I am using this environment:
• Hardware Platform (Jetson / GPU) : GPU
• DeepStream Version : 4.0.1
• JetPack Version (valid for Jetson only)
• TensorRT Version
• NVIDIA GPU Driver Version (valid for GPU only) : 418.43
Here are some snippets of the pipeline:
Primary gie:
Secondary gie (0 as detector and 1 as classifier):
Configuration Snippet:
[primary-gie]
enable = 1
gie-unique-id = 1
batch-size = 1
config-file = 7-class.conf
[secondary-gie0]
enable = 1
gie-unique-id = 4
batch-size = 1
config-file = person-parts.conf
operate-on-gie-id = 1
[tracker]
enable = 1
tracker-width = 960
tracker-height = 540
ll-lib-file = /opt/nvidia/deepstream/deepstream-4.0/lib/libnvds_nvdcf.so
What I want to achieve:
{
"frame_id" : 2,
"detections" : [
{
"bounding_box" : [
0,
324,
56,
466
],
"class" : "person",
"confidence" : 0.9,
"track_id" : 9,
"attributes" : {
"subclass" : [
"upper", "lower"
],
"bbox" : [
{"lefttopx": 0, "lefttopy": 300 ,"rightbottomx": 50, "rightbottomy":400},
{"lefttopx": 10, "lefttopy": 333 ,"rightbottomx": 60, "rightbottomy":300}
],
"confidence" : [
0.54759711027145386, 0.64759711027145386
]
}
}
]
}
What I am getting from the current APIs:
{
"frame_id" : 2,
"detections" : [
{
"bounding_box" : [
385,
328,
385,
330
],
"class" : "person",
"confidence" : 0.0,
"track_id" : -1,
"attributes" : {
"subclass" : [
"head"
],
"confidence" : [
],
"colour" : [
],
"score" : [
],
"bbox" : [
{
"topleftx" : 385,
"toplefty" : 328,
"rightbottomx" : 385,
"rightbottomy" : 330
}
]
}
},
]
}
The field’s data is accessed from NvDsObjectMeta and NvDsFrameMeta struct from nvdsmeta.h.
As you can see the track_id is not giving a valid tracking id. Since the subclass is head, the bbox is same data as bounding_box.
So I am just wondering if there is an existing support for a detector as a secondary gie? If there is, probably point me in the correct direction or resource or possible work around?
If there isn’t an existing support, may I know when the support for detector as a secondary gie will be made available?
Thanks.