| 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 | 
| ├── 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 | 
|     ├── batch_size                      # how to expand batch for use multi-batch function | 
|     ├── multi_input_test                # multi-input float model | 
|     ├── hybrid_quant                    # how to use hybrid-quantization function | 
|     ├── mmse                            # how to use mmse function | 
|     └── board_test                      # how to connect the board for debugging |