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MIT license	https://github.com/yester31/TensorRT_Examples
	https://github.com/yester31/TensorRT_Examples#examples-of-tensorrt-models-using-onnx
	https://github.com/yester31/TensorRT_Examples#0-development-environment
	https://github.com/yester31/TensorRT_Examples#set-up-a-virtual-environment
	https://github.com/yester31/TensorRT_Examples#1-tensorrt-model-conversion-and-extension-a-practical-tutorial
1.1 TensorRT CPP API	https://github.com/yester31/TensorRT_Examples/blob/main/practical_tutorial/timm_to_trt_cpp/README.md
1.2 TensorRT Python API	https://github.com/yester31/TensorRT_Examples/blob/main/practical_tutorial/timm_to_trt_python1/README.md
1.3 Polygraphy	https://github.com/yester31/TensorRT_Examples/blob/main/practical_tutorial/timm_to_trt_python2/README.md
2.1 Dynamic batch	https://github.com/yester31/TensorRT_Examples/blob/main/practical_tutorial/dynamic_batch_trt/README.md
2.2 Dynamic input size	https://github.com/yester31/TensorRT_Examples/blob/main/practical_tutorial/dynamic_input_size_trt/README.md
3.1 Adding a pre-processing layer by cuda	https://github.com/yester31/TensorRT_Examples/blob/main/practical_tutorial/custom_layer/README.md
4.1 Extracting a feature map of the last Conv for Grad-Cam	https://github.com/yester31/TensorRT_Examples/blob/main/practical_tutorial/gradcam_trt/README.md
	https://github.com/yester31/TensorRT_Examples#2-advanced-optimization-techniques-for-tensorrt-inference
1.1 Train Base Model (resnet18)	https://github.com/yester31/TensorRT_Examples/blob/main/optimization_techniques/base_model/README.md
1.2 Base TensorRT (fp16)	https://github.com/yester31/TensorRT_Examples/blob/main/optimization_techniques/base_trt/README.md
2.1 Explict Quantization (PTQ)	https://github.com/yester31/TensorRT_Examples/blob/main/optimization_techniques/tmo_ptq/README.md
2.2 Explict Quantization (QAT)	https://github.com/yester31/TensorRT_Examples/blob/main/optimization_techniques/tmo_qat/README.md
2.3 Explict Quantization (ONNX PTQ)	https://github.com/yester31/TensorRT_Examples/blob/main/optimization_techniques/tmo_moq/README.md
2.4 Implicit Quantization (TensorRT PTQ)	https://github.com/yester31/TensorRT_Examples/blob/main/optimization_techniques/trt_ptq/README.md
3.1 Sparsity (2:4 sparsity)	https://github.com/yester31/TensorRT_Examples/blob/main/optimization_techniques/tmo_sparsity/README.md
4.1 Pruning	https://github.com/yester31/TensorRT_Examples/blob/main/optimization_techniques/tmo_pruning/README.md
5.1 NAS(work in progress...)	https://github.com/yester31/TensorRT_Examples/blob/main/optimization_techniques/tmo_nas/README.md
	https://github.com/yester31/TensorRT_Examples#3-conversion-of-general-deep-learning-models-to-tensorrt
1.1 Real-ESRGAN	https://github.com/yester31/TensorRT_Examples/blob/main/general_models/Real-ESRGAN/README.md
2.1 Yolo11	https://github.com/yester31/TensorRT_Examples/blob/main/general_models/Yolo11/README.md
2.2 Yolo12	https://github.com/yester31/TensorRT_Examples/blob/main/general_models/Yolo12/README.md
2.3 D-FINE	https://github.com/yester31/TensorRT_Examples/blob/main/general_models/D-FINE/README.md
2.4 YOLOX	https://github.com/yester31/TensorRT_Examples/blob/main/general_models/YOLOX/README.md
2.5 Dome-DETR	https://github.com/yester31/TensorRT_Examples/blob/main/general_models/Dome-DETR/README.md
2.6 RF-DETR	https://github.com/yester31/TensorRT_Examples/blob/main/general_models/RF-DETR/README.md
2.7 RT-DETR	https://github.com/yester31/TensorRT_Examples/blob/main/general_models/RT-DETR/README.md
2.8 DEIM	https://github.com/yester31/TensorRT_Examples/blob/main/general_models/DEIM/README.md
4.1 U-2-Net(Sky Segmentation)	https://github.com/yester31/TensorRT_Examples/blob/main/general_models/U-2-Net/README.md
4.2 BEN2(Remove Background)	https://github.com/yester31/TensorRT_Examples/blob/main/general_models/BEN2/README.md
4.3 MODNet(Portrait Matting)	https://github.com/yester31/TensorRT_Examples/blob/main/general_models/MODNet/README.md
4.4 ORMBG(Remove Background for images with humans)	https://github.com/yester31/TensorRT_Examples/blob/main/general_models/ORMBG/README.md
5.1 EoMT	https://github.com/yester31/TensorRT_Examples/blob/main/general_models/EoMT/README.md
6.1 Depth-Pro(Sharp Monocular Metric Depth)	https://github.com/yester31/TensorRT_Examples/blob/main/general_models/Depth-Pro/README.md
7.1 Gaze-LLE	https://github.com/yester31/TensorRT_Examples/blob/main/general_models/Gaze-LLE/README.md
8.1 SAM2	https://github.com/yester31/TensorRT_Examples/blob/main/general_models/SAM2/README.md
8.2 EfficientViT-SAM	https://github.com/yester31/TensorRT_Examples/blob/main/general_models/EfficientViT-SAM/README.md
9.1 RAFT	https://github.com/yester31/TensorRT_Examples/blob/main/general_models/RAFT/README.md
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9.3 MEMFOF	https://github.com/yester31/TensorRT_Examples/blob/main/general_models/MEMFOF/README.md
9.4 NeuFlow	https://github.com/yester31/TensorRT_Examples/blob/main/general_models/NeuFlow/README.md
	https://github.com/yester31/TensorRT_Examples#4-reference
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