eora-ai/torchok
Production-oriented Computer Vision models training pipeline for common tasks: classification, segmentation, detection and representationš„¤
This toolkit helps Computer Vision Engineers quickly train and experiment with deep learning models for tasks like image classification, segmentation, and object detection. You feed it your image datasets and it outputs highly optimized, production-ready neural network models. It's designed for professionals building real-world computer vision applications.
No commits in the last 6 months. Available on PyPI.
Use this if you are a Computer Vision Engineer who needs a robust, fast, and production-oriented framework for training and deploying deep learning models.
Not ideal if you are a beginner just learning about computer vision or prefer a more low-level, fully custom model development approach.
Stars
55
Forks
6
Language
Python
License
Apache-2.0
Category
Last pushed
Jun 15, 2023
Commits (30d)
0
Dependencies
17
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