A fullstack object detection project I made for fun
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Updated
Jul 1, 2024 - TypeScript
A fullstack object detection project I made for fun
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
Perception stack for quadrotors developed using synthetic data and deployed on a DJI Tello EDU drone using NVIDIA's Jetson Orin Nano to autonomously navigate an obstacle course.
定时获取谷歌学术和arxiv论文的相关更新 (代码只有一个py文件,较简单有注释)
autoupdate paper list
High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
Service robot development for RoboCup @Home OPL
Profile PyTorch models for FLOPs and parameters, helping to evaluate computational efficiency and memory usage.
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
Automatic tardigrade biomass estimation in microscopic images.
Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
NVR with realtime local object detection for IP cameras
Official implementation of "Align and Distill: Unifying and Improving Domain Adaptive Object Detection"
Python sample codes and documents about Autonomous vehicle control algorithm. In the future, I want to release these ones as my own technical book for beginners.
My 2024 Thesis. Developing an occlusion-aware engagement detection system.
A libtorch c++ implementation of Single Shot MultiBox Detector
A web app to analyze the severity of facial acne using GAGS metrics
Python library for data augmentation in object detection or image classification model training
一种基于 YOLOv8 的路口交通信号灯通行规则识别模型及算法
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