Running-Turtle1/jittor-retinanet
A Jittor implementation of the RetinaNet.
This project offers an implementation of the RetinaNet object detection model using the Jittor deep learning framework. It processes image datasets, like COCO2017, and outputs a trained model capable of identifying objects within images. This is for machine learning engineers or researchers who are developing and evaluating object detection systems and want to compare framework performance.
170 stars.
Use this if you are comparing the performance of different deep learning frameworks for object detection tasks, specifically evaluating Jittor against PyTorch.
Not ideal if you need a production-ready, highly memory-efficient object detection solution where GPU memory is a significant constraint.
Stars
170
Forks
10
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 15, 2026
Commits (30d)
0
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