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History: 7 commits

Luigi

Add new class 'RTMO_GPU_Batch' that can perform inference on batch of images

8072759 about 2 years ago

video
Add a sample video about 2 years ago
.gitattributes

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

640 Bytes
Update README.md about 2 years ago
convert_to_fp16.py

1.07 kB
RTMO ONNX Models from MMPOSE range from Tiny to Large about 2 years ago
demo.sh

56 Bytes
RTMO ONNX Models from MMPOSE range from Tiny to Large about 2 years ago
rtmo-l.fp16.onnx

88 MB
xet

RTMO ONNX Models from MMPOSE range from Tiny to Large about 2 years ago
rtmo-l.int8.onnx

44.7 MB
xet

INT8 models obtained via dynamic quantization about 2 years ago
rtmo-l.onnx

176 MB
xet

RTMO ONNX Models from MMPOSE range from Tiny to Large about 2 years ago
rtmo-m.fp16.onnx

44.7 MB
xet

RTMO ONNX Models from MMPOSE range from Tiny to Large about 2 years ago
rtmo-m.int8.onnx

22.9 MB
xet

INT8 models obtained via dynamic quantization about 2 years ago
rtmo-m.onnx

89.3 MB
xet

RTMO ONNX Models from MMPOSE range from Tiny to Large about 2 years ago
rtmo-s.fp16.onnx

19.9 MB
xet

RTMO ONNX Models from MMPOSE range from Tiny to Large about 2 years ago
rtmo-s.int8.onnx

10.5 MB
xet

INT8 models obtained via dynamic quantization about 2 years ago
rtmo-s.onnx

39.6 MB
xet

RTMO ONNX Models from MMPOSE range from Tiny to Large about 2 years ago
rtmo-t.fp16.onnx

13.7 MB
xet

RTMO ONNX Models from MMPOSE range from Tiny to Large about 2 years ago
rtmo-t.int8.onnx

7.21 MB
xet

INT8 models obtained via dynamic quantization about 2 years ago
rtmo-t.onnx

27.3 MB
xet

RTMO ONNX Models from MMPOSE range from Tiny to Large about 2 years ago
rtmo_demo.py

1.99 kB
Optimization for CUDAExecutionProvider about 2 years ago
rtmo_gpu.py

16.4 kB
Add new class 'RTMO_GPU_Batch' that can perform inference on batch of images about 2 years ago