Pinned Repositories
ByteTrack
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
cvbase
Utils for computer vision research.
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
fine-grained2019AAAI
pytorch implementation of Fine-grained Recognition: Accounting for Subtle Differences between Similar Classes
ghostnet.pytorch
[CVPR2020] GhostNet: More Features from Cheap Operations
image-processing-from-scratch
This project contains some interesting image processing algorithms that were wrote in python and c++ from scratch.
PyQt5-YOLOv5
PyQt5 implementation of YOLOv5 GUI
python_interview_question
关于python的面试题
PyTorch_Tutorial
《Pytorch模型训练实用教程》中配套代码
yolov4-pytorch
这是一个YoloV4-pytorch的源码，可以用于训练自己的模型。
Javacr's Repositories
Javacr/PyQt5-YOLOv5
PyQt5 implementation of YOLOv5 GUI
Javacr/python_interview_question
关于python的面试题
Javacr/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
Javacr/PyTorch_Tutorial
《Pytorch模型训练实用教程》中配套代码
Javacr/yolov4-pytorch
这是一个YoloV4-pytorch的源码，可以用于训练自己的模型。
Javacr/ByteTrack
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
Javacr/cvbase
Utils for computer vision research.
Javacr/fine-grained2019AAAI
pytorch implementation of Fine-grained Recognition: Accounting for Subtle Differences between Similar Classes
Javacr/ghostnet.pytorch
[CVPR2020] GhostNet: More Features from Cheap Operations
Javacr/image-processing-from-scratch
This project contains some interesting image processing algorithms that were wrote in python and c++ from scratch.
Javacr/labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Javacr/learn-python3
Learn Python 3 Sample Code
Javacr/mediapipe
Cross-platform, customizable ML solutions for live and streaming media.
Javacr/ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Javacr/ncnn-assets
Javacr/netron
Visualizer for neural network, deep learning, and machine learning models
Javacr/NTS-Net
This is a PyTorch implementation of the ECCV2018 paper "Learning to Navigate for Fine-grained Classification" (Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, Liwei Wang).
Javacr/OpenCV-Python-Tutorial
OpenCV问答群1,QQ群号:187436093
Javacr/PaddleSpeech
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.
Javacr/pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
Javacr/rexnet
Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models
Javacr/vision
Datasets, Transforms and Models specific to Computer Vision