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followers: 15.0 following: 13.0 repos: 29.0 gists: 0.0

Name: DanielHo-BS

Type: User

Bio: Student from NTUST in Taiwan. Learning machine learning, image processing, and computer vision now.

Location: Taiwan

Hey there! I'm DanielHo-BS.

👨🏻‍💻 About Me

🔭 I’m currently learning Machine Learing, Image Processing and Computer Vision.
🎓 Studying Electrical Engineering from NTUST in Taiwan.
🌱 Enthusiast in Computer Vision and Artificial Intelligence .
✍️ Watching Anime and playing games of PC.

🛠 Tech Stack

🤖 Project

🟠 Cheat Sheet | Special Projects | MSPL | CPP
🟡 YOLO DocumentAnalysis | Signals And Systeam Lab | MixCLDehazeNet
🔵 Machine learning | Computer Vision | Image Processing | EmbeddingOS | Advanced Computer Graphics
🟢 MRI | Ultrasound | Biomedical Signal Processing |
🟣 Roscube Doc | AI Performance | coco2yolo

📊 Github Stat

DanielHo-BS's Projects

advancedcomputergraphics

NTUST-112-CI5326701 Advanced Computer Graphics

ai_performance

The repository will guide you how to use AI Benchmark for testing GPU performance.

biomedicalsignalprocessing

NTUST-1112-BE5037701

bmi160_spi_demo

Accessing BMI160 via SPI interface demo.

camera_trigger_daemon

cheat-sheet

Here show the programming cheats by myself.

coco2yolo

Convert COCO format to YOLO format

computer-vision

NTU-1112-EEE5053

cpp

C++ practise notes.

danielho-bs

embeddingos

NTUST-111-EE5036701

imageprocessing

NTUST-111-CI5317701 & NTUST-111-CS5071701

llmproject

machinelearning

NTUT-1101-290783

mixcldehazenet

mraa

Library for ADLINK ROS controller.

mri

NTUST-111-EE5831701

mspl

objectdetect

small computer vision project

pandoc-rst2doc-auto

rabbitmq-python-example

rootonstorage

Switch the rootfs to a NVMe SSD on the Jetson Xavier NX and Jetson AGX Xavier

ros_menu

Neuron Startup Menu for ROS environment setting

roscube-doc

The source of https://adlink-ros.github.io/roscube-doc

special-projects

spidev-test

ultrasound

NTUST-111-EE5790701

yolo-documentanalysis

Using YOLOv7 for Document Analysis.

yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

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