Xiaoyw1998

Pinned Repositories

YOLOv6
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
Language:Jupyter Notebook5.7k 63 7981k
leetcode
😏 LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer（第 2 版）》、《程序员面试金典（第 6 版）》题解
Language:Java0 0 00
mobile-yolov5-pruning-distillation
mobilev2-yolov5s剪枝、蒸馏，支持ncnn，tensorRT部署。ultra-light but better performence！
Language:Jupyter Notebook0 0 00
ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
Language:Python0 0 00
yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Language:Python0 0 00
YOLOv5-Lite
🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 1.7M (int8) and 3.3M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~
Language:Python0 0 00

Xiaoyw1998's Repositories

Xiaoyw1998/leetcode
😏 LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer（第 2 版）》、《程序员面试金典（第 6 版）》题解
Language:Java0 0 00
Xiaoyw1998/mobile-yolov5-pruning-distillation
mobilev2-yolov5s剪枝、蒸馏，支持ncnn，tensorRT部署。ultra-light but better performence！
Language:Jupyter Notebook0 0 00
Xiaoyw1998/ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
Language:Python0 0 00
Xiaoyw1998/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Language:Python0 0 00
Xiaoyw1998/YOLOv5-Lite
🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 1.7M (int8) and 3.3M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~
Language:Python0 0 00