# Object-Detection-and-Tracking

**Repository Path**: michael_wei/Object-Detection-and-Tracking

## Basic Information

- **Project Name**: Object-Detection-and-Tracking
- **Description**: ObjectDetection Two-stage (RCNN) vs One-stage (YOLO) Detectors and YOLOv3+Deep_SORT/SORT Object Tracking
- **Primary Language**: Python
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 1
- **Forks**: 2
- **Created**: 2020-07-23
- **Last Updated**: 2021-04-29

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Object Detection and Tracking

![](https://github.com/yehengchen/ObjectDetection/blob/master/img/objectdetection.gif)

*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.*

__[[tf-model zoo]](https://github.com/yehengchen/ObjectDetection/blob/master/Tensorflow%20detection%20model%20zoo.md)__

# OneStage
### [YOLO](https://github.com/yehengchen/ObjectDetection/blob/master/OneStage/yolo): Real-Time Object Detection

* #### How to train a YOLOv3 model on own images - [[Link]](https://github.com/yehengchen/ObjectDetection/tree/master/OneStage/yolo/yolov3)

<img src="https://github.com/yehengchen/ObjectDetection/blob/master/img/output_49.gif" width="50%" height="50%">

* #### YOLOv3 + Deep_SORT - Object Counter - [[Link]](https://github.com/yehengchen/ObjectDetection/tree/master/OneStage/yolo/deep_sort_yolov3)

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<img src="https://github.com/yehengchen/ObjectDetection/blob/master/OneStage/yolo/yolo_img/sort_1.gif" width="50%" height="50%">

* #### YOLOv3 + SORT - Person Counter - [[Link]](https://github.com/yehengchen/ObjectDetection/tree/master/OneStage/yolo/yolov3_sort)

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* #### How to get it working on the COCO dataset __coco2voc__ - [[Link]](https://github.com/yehengchen/ObjectDetection/blob/master/OneStage/yolo/coco2voc.md)
* #### Convert Dataset2Yolo - COCO / VOC -[[Link]](https://github.com/yehengchen/ObjectDetection/tree/master/OneStage/yolo/convert2Yolo)
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### [SSD](https://github.com/yehengchen/ObjectDetection/tree/master/OneStage/ssd): Single Shot MultiBox Detector
* #### How to train a SSD model on own images - [[Link]]()

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# TwoStage
### [R-CNN](): Region-based methods
* Fast R-CNN
* Faster R-CNN
* Mask R-CNN

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# Paper list from 2014 to now(2019)
<img src="https://github.com/yehengchen/ObjectDetection/blob/master/img/deep_learning_object_detection_history.PNG" width="60%" height="60%">

#### PapersWithCode: Browse > Computer Vision > Object Detection - [[Link]](https://paperswithcode.com/task/object-detection)

#### ObjectDetection Two-stage vs One-stage Detectors - [[Link]](https://github.com/yehengchen/ObjectDetection/blob/master/Two-stage%20vs%20One-stage%20Detectors.md)

#### ObjectDetection mAP & IoU - [[Link]](https://github.com/yehengchen/ObjectDetection/blob/master/mAP%26IoU.md)

#### COCO dataset and Pascal VOC dataset - [[Link]](https://github.com/yehengchen/ObjectDetection/blob/master/COCO%20and%20Pascal%20VOC.md)

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