Levi Pereira (@levipereira)
github

levipereira

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  • Stars
    star
    153
  • Global Rank 150,799 (Top 6 %)
  • Followers 26
  • Following 11
  • Registered almost 8 years ago
  • Most used languages
    Python
         60.0 %
    Shell
         20.0 %
    C++
         20.0 %
  • Location πŸ‡§πŸ‡· Brazil
  • Country Total Rank 61,113
  • Country Ranking
    Shell
         256
    Python
         363
    C++
         3,374

Top repositories

1

yolov9-qat

Implementation of YOLOv9 QAT optimized for deployment on TensorRT platforms.
Python
65
star
2

triton-server-yolo

This repository serves as an example of deploying the YOLO models on Triton Server for performance and testing purposes
Shell
32
star
3

deepstream-yolo-e2e

Implementation of End-to-End YOLO Models for DeepStream
Python
18
star
4

deepstream-yolov9

Implementation of Nvidia DeepStream 7 with YOLOv9 Models.
Python
9
star
5

triton-client-yolo

This repository utilizes the Triton Inference Server Client, which streamlines the complexity of model deployment.
Python
6
star
6

deepstream-yolo-triton-server-rtsp-out

The Purpose of this repository is to create a DeepStream/Triton-Server sample application that utilizes yolov7, yolov7-qat, yolov9 models to perform inference on video files or RTSP streams.
Python
6
star
7

yolo_e2e

Implementation of End-to-End YOLO Models
Python
3
star
8

Docker-Yolov7-Nvidia-Kit

This repository provides an out-of-the-box deployment solution for creating an end-to-end procedure to train, deploy, and use Yolov7 models on Nvidia GPUs using Triton Server and Deepstream.
Shell
3
star
9

nvdsinfer_yolo_efficient_nms

This repository provides a custom implementation of parsing function to the Gst-nvinferserver plugin when use YOLOv7/YOLOv9 model served by Triton Server using the Efficient NMS plugin exported by ONNX.
C++
1
star
10

nvdsinfer_yolov7_efficient_nms

NvDsInferYolov7EfficientNMS for Gst-nvinferserver
C++
1
star