Load ./libmmdeploy_tensorrt_ops.so for TensorRT EP if available

Remove fix_batch_dimension_all.sh

Remove models with fixed batch size as dynamic batch is generally supported

Apply constant folding

Reperform shape inference on all models

Bugfix: correct batch dimension fixation then regenerate ONNX models

Update README.md

Update README.md

Add option --yolo_nas_pose, used to read YOLO NAS Pose model instead of RTMO

Fix typo in model names mentioned in demo.sh demo_batch.sh

Repair DEMO to run with TRT EP

Fix FP16 models having poor accuracy

Bugfix for batch demo: add padding if remaning number of frames is not equal to batch size

Make ONNX models compatible with ONNXruntime's TensorrtExecutionProvider

Use RTMO_GPU_Batch to demo

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

Optimization for CUDAExecutionProvider

INT8 models obtained via dynamic quantization

Update README.md

Add a sample video

RTMO ONNX Models from MMPOSE range from Tiny to Large

initial commit