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rtmo
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Prime Electronics and Satellitics Inc.
9
Object Detection
ONNX
Pose Estimation
License:
mit
Model card
Files
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634d4ff
rtmo
3 contributors
History:
44 commits
Luigi
Return and show bounding box confidence
634d4ff
6 months ago
video
Add a sample video
8 months ago
.gitattributes
1.66 kB
Add a sample video
8 months ago
README.md
1.47 kB
Update README.md
8 months ago
constant_folding.sh
337 Bytes
Apply constant folding
8 months ago
convert_to_fp16.py
1.25 kB
Re-quantize models in FP16 in keep positional encoding in FP32 to avoid bad accuracy
7 months ago
convert_to_fp16_all.py
1.36 kB
Bugfix: correct batch dimension fixation then regenerate ONNX models
8 months ago
convert_to_mixed.py
5.26 kB
Improve Debug Message Layout in Validate Funciton
7 months ago
demo.sh
56 Bytes
Remove models with fixed batch size as dynamic batch is generally supported
8 months ago
demo_batch.sh
71 Bytes
Unify batched and non-batched versions
6 months ago
onnx_to_engine.py
7.05 kB
Use dynamic batch size by default
6 months ago
rtmo-l.fp16.onnx
88 MB
LFS
Re-quantize models in FP16 in keep positional encoding in FP32 to avoid bad accuracy
7 months ago
rtmo-l.onnx
176 MB
LFS
Apply constant folding
8 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
7 months ago
rtmo-m.onnx
89.3 MB
LFS
Apply constant folding
8 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
7 months ago
rtmo-s.onnx
39.6 MB
LFS
Apply constant folding
8 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
7 months ago
rtmo-t.onnx
27.4 MB
LFS
Apply constant folding
8 months ago
rtmo_demo.py
2.66 kB
Return and show bounding box confidence
6 months ago
rtmo_demo_batch.py
3.64 kB
Return and show bounding box confidence
6 months ago
rtmo_gpu.py
25.6 kB
Return and show bounding box confidence
6 months ago
symbolic_shape_infer.py
138 kB
Make ONNX models compatible with ONNXruntime's TensorrtExecutionProvider
8 months ago
symbolic_shape_infer_all.sh
135 Bytes
Make ONNX models compatible with ONNXruntime's TensorrtExecutionProvider
8 months ago