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README
Object Detection and Tracking
Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in digital images and videos.
Environment
I have tested on Ubuntu 16.04/18.04. The code may work on other systems.
[Ubuntu-Deep-Learning-Environment-Setup]
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Ubuntu 16.04 / 18.04
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ROS Kinetic / Melodic
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GTX 1080Ti / RTX 2080Ti
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python 2.7 / 3.6
Installation
Clone the repository
git clone https://github.com/yehengchen/Object-Detection-and-Tracking.git
[OneStage]
YOLO-SORT: Real-Time Object Detection and Tracking
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YOLOv4 + Deep_SORT - Pedestrian Counting & Social Distance - [Here]
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YOLOv3 + Deep_SORT - Pedestrian&Car Counting - [Here]
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YOLOv3 + SORT - Pedestrian Counting - [Here]
Darknet_ROS: Real-Time Object Detection and Grasp Detection
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YOLOv3 + ROS Kinetic - For small Custom Data - [Here]
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YOLOv3 + OpenCV + ROS Melodic - Object Detection (Rotated) - [Here]
DeepLabv3+_ROS: Mars Rover - Real-Time Object Tracking
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DeepLab + OpenCV + ROS Melodic/Gazebo - Object Tracking - [Here]
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Mars_Rover + ROS Melodic/Gazebo - [Here]
SSD: Single Shot MultiBox Detector
[TwoStage]
R-CNN: Region-based methods
Fast R-CNN / Faster R-CNN / Mask R-CNN
How to train a Mask R-CNN model on own images - [Here]
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Mask R-CNN + ROS Kinetic - [Here]
This project is ROS package of Mask R-CNN algorithm for object detection and segmentation.
COCO & VOC Datasets
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COCO dataset and Pascal VOC dataset - [Here]
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How to get it working on the COCO dataset coco2voc - [Here]
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Convert Dataset2Yolo - COCO / VOC - [Here]
CV & Robotics Paper List (3D object detection & 6D pose estimation) - [Here]
PapersWithCode: Browse > Computer Vision > Object Detection - [Here]
ObjectDetection Two-stage vs One-stage Detectors - [Here]
ObjectDetection mAP & IoU - [Here]
Core symbols most depended-on inside this repo
DarknetConv2D_BN_Leakycalled by 41
OneStage/yolo/yolo4/model.py
DarknetConv2D_BN_Leaky
called by 41
OneStage/yolo/deep_sort_yolov4/yolo4/model.py
residual_block
called by 18
OneStage/yolo/tools/freeze_model.py
printProgressBar
called by 18
OneStage/yolo/convert2Yolo/Format.py
residual_block
called by 18
OneStage/yolo/deep_sort_yolov4/tools/freeze_model.py
rand
called by 13
OneStage/yolo/yolo4/utils.py
rand
called by 13
OneStage/yolo/deep_sort_yolov4/yolo4/utils.py
DarknetConv2D_BN_Leaky
called by 12
OneStage/yolo/deep_sort_yolov3/yolo3/model.py
Shape
Languages
Python100%
Modules by API surface
OneStage/yolo/yolo4/model.py26 symbols
OneStage/yolo/deep_sort_yolov4/yolo4/model.py26 symbols
OneStage/yolo/convert2Yolo/Format.py18 symbols
OneStage/yolo/deep_sort_yolov3/yolo3/model.py14 symbols
OneStage/yolo/yolov3_sort/sort.py12 symbols
OneStage/yolo/tools/freeze_model.py12 symbols
OneStage/yolo/deep_sort_yolov4/tools/freeze_model.py12 symbols
OneStage/yolo/deep_sort_yolov3/tools/freeze_model.py12 symbols
OneStage/yolo/deep_sort_yolov4/deep_sort/track.py11 symbols
OneStage/yolo/deep_sort_yolov3/deep_sort/track.py11 symbols
OneStage/yolo/tools/generate_detections.py10 symbols
OneStage/yolo/deep_sort_yolov4/tools/generate_detections.py10 symbols
Dependencies from manifests, versioned
Keras2.3.1 · 1×
cycler0.10.0 · 1×
kiwisolver1.0.1 · 1×
matplotlib2.2.2 · 1×
numpy1.15.0 · 1×
opencv-python4.2.0 · 1×
pyparsing2.2.0 · 1×
python-dateutil2.7.2 · 1×
pytz2018.4 · 1×
scikit-learn0.21.2 · 1×
scipy1.4.1 · 1×
six1.11.0 · 1×
For agents
$ claude mcp add Object-Detection-and-Tracking \
-- python -m otcore.mcp_server <graph>