review_object_detection_metrics
examples
review_object_detection_metrics | examples | |
---|---|---|
2 | 2 | |
1,007 | 2,244 | |
- | 2.4% | |
0.0 | 0.0 | |
4 months ago | 8 months ago | |
Python | Python | |
GNU General Public License v3.0 or later | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
review_object_detection_metrics
- How to run PyQt5 applications on Ubuntu (WSLg)?
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Links to papers or books that discuss model evaluation methods for object detection models
This is a good repository for you to start. https://github.com/rafaelpadilla/review_object_detection_metrics Ultimately you would want to compute the precision, recall, average precision, average recall, and mean Average Precision (mAP) that you’ve probably seen in many papers. Good luck!
examples
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How to run PyQt5 applications on Ubuntu (WSLg)?
I used https://github.com/pyqt/examples
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advice for junior python data engineer
Object-oriented programming: try writing a PyQt GUI app. Traditional GUI programming is very object-oriented, and you will learn about inheritance and composition and attributes and methods quickly.
What are some alternatives?
chitra - A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
PyQt5-expansion - A collection of custom PyQt5 widgets / layouts
globox - A package to read and convert object detection datasets (COCO, YOLO, PascalVOC, LabelMe, CVAT, OpenImage, ...) and evaluate them with COCO and PascalVOC metrics.
PyQt-React-Boilerplate - A boilerplate for using python to build a desktop application using PyQt webengine and React.js as the application front-end.
imageset-viewer - Pascal VOC BBox Viewer
venvipy - A GUI for managing Python virtual environments
yolo-tf2 - yolo(all versions) implementation in keras and tensorflow 2.x
exptrk - Repository for my expense tracker project.
YOLO-Coco-Dataset-Custom-Classes-Extractor - Get specific classes from the Coco Dataset with annotations for the Yolo Object Detection model for building custom object detection models.
win32mica - Win32mica: a simple module to add the Mica effect on legacy python windows.
samat - SAM Annotaton Tool
LiveLT - Creates on-demand lower thirds for events such as graduation ceremonies