Pinned Repositories
C-PrimerNotes
CenterNet
Object detection, 3D detection, and pose estimation using center point detection:
centerX
This repo is implemented based on detectron2 and centernet
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.
Face_crop_align_mtcnn
Crop and Align Face by MTCNN
FaceDatasetCreate
create a face dataset for face recognition
FairMOT
A simple baseline for one-shot multi-object tracking
FastMOT
High-performance multiple object tracking based on YOLOv4, Deep SORT, and optical flow
mmdetection_mobilenet
copy and update the mobilenetv2_ssd from [mmdetect](https://github.com/open-mmlab/mmdetection)
urbaneman's Repositories
urbaneman/Face_crop_align_mtcnn
Crop and Align Face by MTCNN
urbaneman/mmdetection_mobilenet
copy and update the mobilenetv2_ssd from [mmdetect](https://github.com/open-mmlab/mmdetection)
urbaneman/FaceDatasetCreate
create a face dataset for face recognition
urbaneman/C-PrimerNotes
urbaneman/CenterNet
Object detection, 3D detection, and pose estimation using center point detection:
urbaneman/centerX
This repo is implemented based on detectron2 and centernet
urbaneman/deep_learning_object_detection
A paper list of object detection using deep learning.
urbaneman/detectron2
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
urbaneman/FairMOT
A simple baseline for one-shot multi-object tracking
urbaneman/FastMOT
High-performance multiple object tracking based on YOLOv4, Deep SORT, and optical flow
urbaneman/LPR_OpenCV
urbaneman/mmdetection
Open MMLab Detection Toolbox and Benchmark
urbaneman/MOTIP
Multiple Object Tracking as ID Prediction
urbaneman/OctaveConv_pytorch
Pytorch implementation of Octave convolution
urbaneman/README
README文件语法解读，即Github Flavored Markdown语法介绍
urbaneman/urbaneman
urbaneman/Yet-Another-EfficientDet-Pytorch
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.