dFuong

AI Engineer

Hanoi, Vietnam

Pinned Repositories

NeuS2
[ICCV 2023] Official code for NeuS2
Language:Cuda615 22 8040
deepstream-app-custom
Language:C00
deepstream-custom
Language:Python00
Inference_FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019
Code for 3rd Place Solution in Face Anti-spoofing Attack Detection Challenge @ CVPR2019,model only 0.35M!!! 1.88ms(CPU)
Language:Python00
light-weight-face-anti-spoofing
towards the solving spoofing problem
Language:Python01
NLP_vietnamese-
Language:Python00
NVIDIA-Deepstream-Azure-IoT-Edge-on-a-NVIDIA-Jetson-Nano
This is a sample showing how to do real-time video analytics with NVIDIA DeepStream connected to Azure via Azure IoT Edge. It uses a NVIDIA Jetson Nano device that can process up to 8 real-time video streams concurrently.
Language:C++0 0 00
TLT-converter
0 1 00
Vietnamese-Container-Detect
Language:Python01
vietnamese-id-card
Language:Jupyter Notebook0 1 00

dFuong/deepstream-app-custom
Language:C00
dFuong/deepstream-custom
Language:Python00
dFuong/Inference_FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019
Code for 3rd Place Solution in Face Anti-spoofing Attack Detection Challenge @ CVPR2019,model only 0.35M!!! 1.88ms(CPU)
Language:Python00
dFuong/light-weight-face-anti-spoofing
towards the solving spoofing problem
Language:Python01
dFuong/NLP_vietnamese-
Language:Python00
dFuong/NVIDIA-Deepstream-Azure-IoT-Edge-on-a-NVIDIA-Jetson-Nano
This is a sample showing how to do real-time video analytics with NVIDIA DeepStream connected to Azure via Azure IoT Edge. It uses a NVIDIA Jetson Nano device that can process up to 8 real-time video streams concurrently.
Language:C++0 0 00
dFuong/TLT-converter
0 1 00
dFuong/Vietnamese-Container-Detect
Language:Python01
dFuong/vietnamese-id-card
Language:Jupyter Notebook0 1 00