Welcome to My Tutorial documentation!

Check out the Usage section for further information, including how to Installation the project.

Conda Environment Setup Tutorial section for Conda environment setup

Note

This project is under active development.

Contents

• CondaEnv
  • Conda Environment Setup Tutorial
    • Install Miniconda
    • Popular packages
    • Install CUDA
  • Tensorflow Installation
  • Pytorch2.0 Installation
  • Waymo OpenDataset Installation
  • 3D Object Detection
  • TensorRT Installation
  • huggingface Tutorial
• HPC2
  • Load software module and request GPU node
  • Conda Environment Setup Tutorial
  • Share Conda Environment
  • Screen session
• WSL2
  • Windows WSL2 Linux Setup Tutorial
    • Install WSL2
    • Use WSL for Development
    • Export WSL
    • Install CUDA inside WSL Linux
    • Other Python Packages
  • Install huggingface
• Linux Machine Setup
  • Install NVIDIA driver
  • Install Basic Software
  • Mount Disk
  • sshfs
  • Add New Sudo Users
  • Common errors
• Mac Machine Learning
  • Conda Installation
  • Install Mytutorial
  • Install Additional Python packages
  • Install huggingface
  • Git configure
  • Pytorch on Mac
  • Install DeepDataMiningLearning on Mac
  • huggingface Tutorial
  • Streamlit
  • NuScenes
  • Install Docker Desktop on Mac
  • X11 Window forwarding from container
  • FFMPEG
  • open3d
  • Packages cannot be installed
• NVIDIA Jetson
  • Quick Start
  • Jetson Xavier AGX Setup
  • Jetson Orin Nano
    • Prepare the Host Machine with NVIDIA SDK Manager
    • Flash L4T to Jetson via SDK Manager
      • Jetson System Setup
    • Check L4T version and system information
    • Check Jetson CUDA
    • Jetson Remote Access
  • Jetson Docker Setup
  • Install Miniconda for ARM
  • Install VSCode for ARM
  • Camera
  • References
• mydetector3d training and evaluation
  • Trained Models
  • Model Evaluation
  • Kitti Dataset Process
  • My Waymokitti Dataset Process
  • Waymo Dataset Process
    • Prepare the dataset
    • Prepare all dataset
    • Initialize the dataset during training
• 3D V2X Data
  • DAIR-V2X Dependencies
  • DAIR V2X Dataset Process
    • Convert the dataset to KITTI format
    • Infrastructure to Vehicle Transform
    • I2V Fusion
    • Prepare the dataset
    • Training and Evaluation
    • Train Fusion Models
  • Add BEV Fusion Process
  • OpenCOOD
• Nuscenes
  • Nuscenes Data
  • Nuscenes Datasets
  • Training
  • BEVFusion
  • Bird’s-eye-view Conversion
• Intel FPGA
  • Intel Arria 10 GX Kit
    • Device Information
    • Boot the device
    • Install Quartus
    • BoardTestSystem
    • Create a Quartus Project
    • Add Verilog file to Quartus Project
    • TCL Script
    • Compile ADI Example
    • JESD204B
  • Mercury Arria 10 SOC Board
  • ADRV9009 Example
  • Build nios2 Linux Image
  • Build Linux FPGA SoC Image
  • ADI Kuiper Linux
    • Configuring the SD Card for FPGA Projects
  • ADI References
• Intel FPGA Linux
  • Download Virtual Box
  • Install Quartus in Linux
  • Setting Up the Intel FPGA Download Cable II Hardware
  • Helloworld
  • ADRV9009+Arria10 GX
  • Download self-build HDL and Images
  • Build ADI HDL
  • Build nios2 Linux Image
  • MATLAB with Intel FPGA
• Xilinx FPGA
  • Xilinx ZCU102
  • Verilog
  • ADRV9009
  • ADI HDL Code
  • ADI Linux Image Boot
  • ADRV9009-W/PCBZ Zynq UltraScale+ MPSoC ZCU102 Quick Start
  • References
• ADI
  • ADI HDL Design
  • adrv9009
  • ADALM-PLUTO
  • iio-oscilloscope
  • Install iio_oscilloscope
  • PySDR and pyadi-iio
    • Install pyadi-iio
• SDR
  • USRP
  • PySDR
  • GNU radio new try
  • mygr_iio
  • GNU radio 3.10 installation
  • GNU radio tutorial
  • GNU radio with gr-iio tutorial
  • GNU radio installation (not working!)
• MATLAB
  • MATLAB with Analog Device
  • Connect device in MATLAB
  • Design Examples in MATLAB
• GoogleCloud
  • Gcloud CLI
  • Compute Engine
• NLP
  • Our Sample code
    • Sentiment
    • sequence_classifier
    • custom_classifier
    • token_classifier
    • NLP dataset
  • SQuAD dataset
  • Reference
• Streamlit
  • Installation
  • References
• Section1
  • Section2
• Usage
  • Installation
  • Creating recipes
• API