rtmo

3 contributors

History: 36 commits

Luigi

Add script used to convert ONNX to fp32/fp16/int8/mixed engine

92676db 10 months ago

video
Add a sample video about 1 year ago
.gitattributes

1.66 kB

Add a sample video about 1 year ago
README.md

1.47 kB

Update README.md 12 months ago
constant_folding.sh

337 Bytes

Apply constant folding 12 months ago
convert_to_fp16.py

1.25 kB

Re-quantize models in FP16 in keep positional encoding in FP32 to avoid bad accuracy 11 months ago
convert_to_fp16_all.py

1.36 kB

Bugfix: correct batch dimension fixation then regenerate ONNX models 12 months ago
convert_to_mixed.py

5.26 kB

Improve Debug Message Layout in Validate Funciton 12 months ago
demo.sh

56 Bytes

Remove models with fixed batch size as dynamic batch is generally supported 12 months ago
demo_batch.sh

64 Bytes

Remove models with fixed batch size as dynamic batch is generally supported 12 months ago
onnx_to_engine.py

6.52 kB

Add script used to convert ONNX to fp32/fp16/int8/mixed engine 10 months ago
rtmo-l.fp16.onnx

88 MB
LFS

Re-quantize models in FP16 in keep positional encoding in FP32 to avoid bad accuracy 11 months ago
rtmo-l.onnx

176 MB
LFS

Apply constant folding 12 months ago
rtmo-m.fp16.onnx

44.7 MB
LFS

Re-quantize models in FP16 in keep positional encoding in FP32 to avoid bad accuracy 11 months ago
rtmo-m.onnx

89.3 MB
LFS

Apply constant folding 12 months ago
rtmo-s.fp16.onnx

19.9 MB
LFS

Re-quantize models in FP16 in keep positional encoding in FP32 to avoid bad accuracy 11 months ago
rtmo-s.onnx

39.6 MB
LFS

Apply constant folding 12 months ago
rtmo-t.fp16.onnx

13.7 MB
LFS

Re-quantize models in FP16 in keep positional encoding in FP32 to avoid bad accuracy 11 months ago
rtmo-t.onnx

27.4 MB
LFS

Apply constant folding 12 months ago
rtmo_demo.py

1.99 kB

Resize in keeping aspect ratio in visualization 10 months ago
rtmo_demo_batch.py

3.06 kB

Resize in keeping aspect ratio in visualization 10 months ago
rtmo_gpu.py

21.2 kB

Use ONNXruntime instead of ONNX.checker.check_model to detect ONNX model 10 months ago
symbolic_shape_infer.py

138 kB

Make ONNX models compatible with ONNXruntime's TensorrtExecutionProvider 12 months ago
symbolic_shape_infer_all.sh

135 Bytes

Make ONNX models compatible with ONNXruntime's TensorrtExecutionProvider 12 months ago