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Brian/deep object detection #26

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@brianzheng206 brianzheng206 commented Jan 1, 2026

  • refactored deep_object_detection to work with any ONNX detection model (YOLO, DINO, Faster R-CNN, DETR, etc.)
  • implemented a generic postprocessor automatically detects and adapts to model output format
  • added configuratble pre-processing; multiple normalization schemes, resize methods (letterbox/resize/crop/pad), and RGB/BGR conversion

tested with yolov8m.onnx and camera_sync, publishing at ~30hz with tensorrt ep

lucasreljic and others added 30 commits October 27, 2025 01:43
@lucasreljic
Initial implementation of deep object detection
039b4ae
@lucasreljic
switched to onnx inferencing
761188b
@lucasreljic
Added onnxruntime gpu to cmake
0c8a8b5
@lucasreljic
pre-commit fixes
a9c84dc
@lucasreljic
Added ort_backend integration, Fixed detection parsing issues, fixed …
15948bb 
…config issues and removed other launch files

TODO: Allow dynamic batch sizes. Optimize!
@lucasreljic
Initial deep_ort_gpu plugin with internal library issues
3c61a40
@lucasreljic
Functioning onnxruntime with CUDA as EP
3bcf8cc
@lucasreljic
Initial deep_ort_gpu plugin with internal library issues
153a467
@lucasreljic
Functioning onnxruntime with CUDA as execution provider
ca1af75
@lucasreljic
Removed requirement for cuda toolkit
e9ad787
@brianzheng206
batch size and other stuff?
a79730e
@brianzheng206
hopefully fixed segfault
43d158e
@brianzheng206
working cuda inference
9cf7b2f
@brianzheng206
working tensorrt ep
6c61d4e
@brianzheng206
new stuff
0dfe8db
@Edwardius
cleaning up cmake
e785893
@brianzheng206
fixed cuda
6d052f3
@brianzheng206
merge onnx_gpu_backend
20e1f6e
@brianzheng206
added libnvinfer, trt ep should work
43130e3
@brianzheng206
caching
db12c23
@brianzheng206
merge main
8b1ee9f
@brianzheng206
should be working
6606449
@brianzheng206
fixed batch size
d916c81
@brianzheng206
optional engine caching
5dfd41b
@brianzheng206
some cleanup
8f08d2e
@brianzheng206
tensorrt version
fb31f7f
@brianzheng206
precommit and cleanup
3cb5dfd
@brianzheng206
added lifecycle node
39936f9
@brianzheng206
loading backend at runtime
ac9a7dd
@brianzheng206
working detection
14050ed
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4 participants

@brianzheng206 @lucasreljic @Edwardius