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3 contributors

History: 51 commits

Luigi

Increase logging level to verbose on onnx to engine script

3deadf3 over 1 year ago

video
trim sample video to keep only important part over 1 year ago
.gitattributes

1.66 kB
Add a sample video about 2 years ago
README.md

1.47 kB
Update README.md about 2 years ago
constant_folding.sh

337 Bytes
Apply constant folding about 2 years ago
convert_to_fp16.py

1.25 kB
Re-quantize models in FP16 in keep positional encoding in FP32 to avoid bad accuracy about 2 years ago
convert_to_fp16_all.py

1.36 kB
Bugfix: correct batch dimension fixation then regenerate ONNX models about 2 years ago
convert_to_mixed.py

5.26 kB
Improve Debug Message Layout in Validate Funciton about 2 years ago
demo.sh

56 Bytes
Remove models with fixed batch size as dynamic batch is generally supported about 2 years ago
demo_batch.sh

71 Bytes
Unify batched and non-batched versions almost 2 years ago
onnx_to_engine-jetpack_4p6.py

7.05 kB
Make 2 distinct ONNX2TRT conversion scripts, one for JetPack 4.6, the other for JetPack 5.1 over 1 year ago
onnx_to_engine-jetpack_5p1.py

7.26 kB
Increase logging level to verbose on onnx to engine script over 1 year ago
rtmo-l.fp16.onnx

88 MB
xet

Re-quantize models in FP16 in keep positional encoding in FP32 to avoid bad accuracy about 2 years ago
rtmo-l.onnx

176 MB
xet

Apply constant folding about 2 years ago
rtmo-m.fp16.onnx

44.7 MB
xet

Re-quantize models in FP16 in keep positional encoding in FP32 to avoid bad accuracy about 2 years ago
rtmo-m.onnx

89.3 MB
xet

Apply constant folding about 2 years ago
rtmo-s.fp16.onnx

19.9 MB
xet

Re-quantize models in FP16 in keep positional encoding in FP32 to avoid bad accuracy about 2 years ago
rtmo-s.onnx

39.6 MB
xet

Apply constant folding about 2 years ago
rtmo-t.fp16.onnx

13.7 MB
xet

Re-quantize models in FP16 in keep positional encoding in FP32 to avoid bad accuracy about 2 years ago
rtmo-t.onnx

27.4 MB
xet

Apply constant folding about 2 years ago
rtmo_demo.py

2.66 kB
Return and show bounding box confidence almost 2 years ago
rtmo_demo_batch.py

3.64 kB
Return and show bounding box confidence almost 2 years ago
rtmo_gpu.py

32.2 kB
adjust visualisation style, allow draw_bbox() to show person id almost 2 years ago
symbolic_shape_infer.py

138 kB
Make ONNX models compatible with ONNXruntime's TensorrtExecutionProvider about 2 years ago
symbolic_shape_infer_all.sh

135 Bytes
Make ONNX models compatible with ONNXruntime's TensorrtExecutionProvider about 2 years ago