cocoen12

Pinned Repositories

Accurate-and-Fast-Multi-view-Face-Landmark-Point-Detection
00
BoT-SORT
BoT-SORT: Robust Associations Multi-Pedestrian Tracking
Language:Jupyter Notebook00
ByteTrack
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
Language:Python00
FairSEAT
SEAT + FairMOT
Language:Python30
policeTrack
Language:Python116
SEAT_tracktor1
Official Implementation of How To Train Your Deep Multi-Object Tracker (CVPR2020)
10
VAN_MOTDT
Real-time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-identification
Language:Python10
VAN_tracktor
Implementation of "Tracking without bells and whistles” and the multi-object tracking "Tracktor"
Language:Python10
yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Language:Jupyter Notebook10
YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
Language:Python10

cocoen12's Repositories

cocoen12/FairSEAT
SEAT + FairMOT
Language:Python30
cocoen12/policeTrack
Language:Python116
cocoen12/SEAT_tracktor1
Official Implementation of How To Train Your Deep Multi-Object Tracker (CVPR2020)
10
cocoen12/VAN_MOTDT
Real-time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-identification
Language:Python10
cocoen12/VAN_tracktor
Implementation of "Tracking without bells and whistles” and the multi-object tracking "Tracktor"
Language:Python10
cocoen12/yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Language:Jupyter Notebook10
cocoen12/YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
Language:Python10
cocoen12/Accurate-and-Fast-Multi-view-Face-Landmark-Point-Detection
00
cocoen12/BoT-SORT
BoT-SORT: Robust Associations Multi-Pedestrian Tracking
Language:Jupyter Notebook00
cocoen12/ByteTrack
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
Language:Python00
cocoen12/Car_Stop_DetectionRecognition
Recognize the non-stationary Car
27
cocoen12/CenterTrack
Simultaneous object detection and tracking using center points.
cocoen12/DetectorWithFocus
0 0
cocoen12/flownet2-pytorch
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Language:Python0 0
cocoen12/IR_Driver_Gaze_Estimation
Based on IR camera, implmented with Caffe
cocoen12/IR_FaceDetector
0 0
cocoen12/lane_detection_hough
Lane detection using hough transform
Language:Tcl
cocoen12/LaneSegmentationNetwork
The deep semantic segmentation network for lane segmentation.
Language:Python
cocoen12/MOTR
[ECCV2022] MOTR: End-to-End Multiple-Object Tracking with TRansformer
cocoen12/PIMNet_AnimalDetector
Language:C
cocoen12/PIMNet_FR-1
cocoen12/RefVSR
[CVPR 2022] Official PyTorch Implementation for "Reference-based Video Super-Resolution Using Multi-Camera Video Triplets"
cocoen12/ScaleAwareNetwork
0 0
cocoen12/SSD_TME
Language:Python
cocoen12/ThermalGAN
Multimodal Color-to-Thermal Image Translation
cocoen12/trackformer
Implementation of "TrackFormer: Multi-Object Tracking with Transformers”. [Conference on Computer Vision and Pattern Recognition (CVPR), 2022]
cocoen12/Traffic-sign-detection
Language:Python
cocoen12/traffic_light_recognition
traffic light recognition system for ADAS
Language:C++
cocoen12/Traffic_sign_ADAS
cocoen12/Vehicle_Detection
Vehicle detection with ACF