The overall directory structure of VCAM is introduced as follows:
vcam
├── apps // configuration file, you can select model structure and modify hyperparameters through yml file
│ ├── vcam_ocr // It is an OCR example from Baidu Paddle-Lite used vcam which is run on Raspberry Pi 4 only.
│ │ ├── mainApp //Source code to display AI results
│ │ ├── Bin //Example to run OCR model
│ │ ├── inference_lite_lib.armlinux.armv7hf //Source code to process AI results
│ │ └── public // Library of source code
│ ├── vcam_viewer // a software used to quickly experience the VCAM development kit
│ │ ├── qt_package //QT source code
│ │ ├──linux //Linux compiled
│ │ ├── raspberry //Raspberry compiled
│ │ └── windows // WIndows compiled
├── doc
├── example
│ ├── how_to
│ │ ├── capture_video //creates 3 threads to process YUV/H26X and mjpeg
│ │ ├── how_to_use_sdk
│ │ ├── load_a_model //Primary model
│ │ └── multiple_models // Secondary model
│ ├── linkage_demo
│ │ ├── work_with_AlwaysAI //pedestrian tracking demo
│ │ ├── work_with_OpenVINO //human_pose_estimation and interactive_face_detection demo
│ │ └── work_with_PaddlePaddle //vcam_ocr dmo
├── platform
├── sdk
│ ├── drivers //window usb drivers
│ ├── source
│ │ ├── firmware //vcam firmware
│ │ └── library // c,c++,python library on Linux,Window,Raspberry
│ │ └── model //openvino 2020.3
│ ├── tools