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Name: Stuart Morgan
Type: User
Bio: Sports analytics, computer vision, everything in-between.
Stuart Morgan's Projects
dash-sample-apps
Apps hosted in the Dash Gallery
deep_sort
Simple Online Realtime Tracking with a Deep Association Metric
deep_sort_pytorch
MOT tracking using deepsort and yolov3 with pytorch
deepcluster
Deep Clustering for Unsupervised Learning of Visual Features
ipycam
IP camera codebase for connecting Prosilica GigE devices.
labelimg
:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images
learningtocompare-pytorch
Pytorch Implementation for CVPR2018 Paper: Learning to Compare: Relation Network for Few-Shot Learning
pan-tilt-zoom-slam
Pan-tilt-zoom SLAM project.
patternplotter
Visual Basic code for Pattern Plotter manual annotation system
py-motmetrics
:bar_chart: Benchmark multiple object trackers (MOT) in Python
pymot
Objective evaluation of tracker performance with the Multiple Object Tracking (MOT) measures.
pytorch-cnn-visualizations
Pytorch implementation of various convolutional neural network techniques
pytorch-semseg
Semantic Segmentation Architectures Implemented in PyTorch
pytorch-yolov3
Minimal PyTorch implementation of YOLOv3
pytorch_realtime_multi-person_pose_estimation
This is a pytorch version of Realtime_Multi-Person_Pose_Estimation, origin code is here https://github.com/ZheC/Realtime_Multi-Person_Pose_Estimation
pytorch_realtime_multi-person_pose_estimation-1
Pytorch version of Realtime Multi-Person Pose Estimation project
soccerontable
Upconverting YouTube soccer videos in 3D for viewing in AR/VR devices.Soccer On Your Tabletop
ssd.pytorch
A PyTorch Implementation of Single Shot MultiBox Detector
tracking_wo_bnw
Implementation of "Tracking without bells and whistles” and the multi-object tracking "Tracktor"
video-classification-3d-cnn-pytorch
Video classification tools using 3D ResNet
yolo2-pytorch
YOLOv2 in PyTorch
yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
zhang
Python implementation of Z. Zhang's camera calibration algorithm
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