xwspace's repositories
Car_Opencv
Final project with multiple modules
cv-notebooks
📚 Some notebooks implementing compute vision algorithms
deep_learning_object_detection
A paper list of object detection using deep learning.
detectron2
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
dm-vio
Source code for the paper DM-VIO: Delayed Marginalization Visual-Inertial Odometry
fast-style-transfer
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
libfacedetection
An open source library for face detection in images. The face detection speed can reach 1500FPS.
mmdetection
OpenMMLab Detection Toolbox and Benchmark
openvslam-comments
openvslam的注释版代码
SLATracker
Spatial-Attention Location-Aware Multi-Object Tracking
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
tensorflow-serving-yolov3
主要对原tensorflow版本算法进行了网络修改,显示调整,数据处理等细节优化,详细说明了 从本地训练到serving端部署yolov3的整个流程,训练了Visdrone2019无人机数据集, 准确率 较高, 训练工业检测数据集(非80类中的一类),mAP为97.51,FPS在1080上测试15-20帧!
tensorflow-yolov3
🔥 pure tensorflow Implement of YOLOv3 with support to train your own dataset
VO-SLAM-Review
SLAM is mainly divided into two parts: the front end and the back end. The front end is the visual odometer (VO), which roughly estimates the motion of the camera based on the information of adjacent images and provides a good initial value for the back end.The implementation methods of VO can be divided into two categories according to whether features are extracted or not: feature point-based methods, and direct methods without feature points. VO based on feature points is stable and insensitive to illumination and dynamic objects