The directory structure of examples is as follows:
.
├── caffe
│ ├── mobilenet_v2 # mobilenet_v2 float model
│ └── vgg-ssd # vgg-ssd float model
├── onnx
│ ├── resnet50v2 # resnet50v2 float model
│ └── yolov5 # yolov5 float model
├── pytorch
│ ├── resnet18 # resnet18 float model
│ ├── resnet18_qat # resnet18 QAT model
│ ├── resnet18_export_onnx # how to export onnx model from pytorch
│ └── yolov5 # yolov5 float model
├── tensorflow
│ ├── ssd_mobilenet_v1 # ssd_mobilenet_v1 float model
│ └── inception_v3_qat # inception_v3 QAT model
├── tflite
│ ├── mobilenet_v1 # mobilenet_v1 float model
│ └── mobilenet_v1_qat # mobilenet_v1 QAT model
├── darknet
│ └── yolov3_416x416 # yolov3 float model
└── functions
├── accuracy_analysis # how to use accuracy-analysis function
├── codegen # how to generate c++ deployment demo when converting model
├── custom_op # How to use custom_op function
├── dynamic_shape # how to use dynamic shape function
├── hybrid_quant # how to use hybrid-quantization function
├── model_pruning # how to use model_pruning function
├── multi_batch # how to expand batch for use multi-batch function
├── multi_input # How to convert multi-input model
├── npu_device_test # how to test npu device by connect the board
├── onnx_edit # how to use onnx_edit function
└── quantize_algorithm_mmse # how to use MMSE quantize algorithm
