wudashuo

Object Detection&Tracking, TensorRT deployment.

Tianjin, China

Pinned Repositories

ultralytics
Ultralytics YOLO11 🚀
Language:Python35.4k 186 10.1k6.8k
yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Language:Python51.9k 373 9.3k16.6k
blinear-cnn-faster
A Faster PyTorch implementation of bilinear CNN for fine-grained image recognition
Language:Python1 0 00
Fire-Detection-Image-Dataset
This dataset contains normal images and images with fire. It is highly unbalanced to reciprocate real world situations. It consists of a variety of scenarios and different fire situations (intensity, luminosity, size, environment etc).
1 0 00
mAP
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
Language:Python0 0 00
tensorrtx
Implementation of popular deep learning networks with TensorRT network definition API
Language:C++0 0 00
yolov5
YOLOv5 汉化版，保持官方同步更新
Language:Python444 7 16100
yolov8
YOLOv8汉化版，详细中文教程
Language:Python9 0 02

wudashuo/yolov5
YOLOv5 汉化版，保持官方同步更新
Language:Python444 7 16100
wudashuo/yolov8
YOLOv8汉化版，详细中文教程
Language:Python9 0 02
wudashuo/blinear-cnn-faster
A Faster PyTorch implementation of bilinear CNN for fine-grained image recognition
Language:Python1 0 00
wudashuo/Fire-Detection-Image-Dataset
This dataset contains normal images and images with fire. It is highly unbalanced to reciprocate real world situations. It consists of a variety of scenarios and different fire situations (intensity, luminosity, size, environment etc).
1 0 00
wudashuo/mAP
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
Language:Python0 0 00
wudashuo/tensorrtx
Implementation of popular deep learning networks with TensorRT network definition API
Language:C++0 0 00