zgcr/SimpleAICV_pytorch_training_examples
PyTorch training examples repository for computer vision models including object detection, segmentation, and vision transformers.
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SimpleAICV provides lightweight, easy-to-use training pipelines for various computer vision tasks. It supports object detection models like FCOS, RetinaNet, YOLACT, and SOLOv2, segmentation models including SAM and SAM2, and vision transformers such as ViT, DINOv3, and ConvFormer. The repository includes Gradio demos, inference examples, and training scripts for datasets like COCO, ImageNet, VOC, and ADE20K.
Frequently asked
- What is zgcr/SimpleAICV_pytorch_training_examples?
- PyTorch training examples repository for computer vision models including object detection, segmentation, and vision transformers.
- Is SimpleAICV_pytorch_training_examples open source?
- Yes — zgcr/SimpleAICV_pytorch_training_examples is open source, released under the MIT license.
- What language is SimpleAICV_pytorch_training_examples written in?
- zgcr/SimpleAICV_pytorch_training_examples is primarily written in Python.
- How popular is SimpleAICV_pytorch_training_examples?
- zgcr/SimpleAICV_pytorch_training_examples has 441 stars on GitHub.
- Where can I find SimpleAICV_pytorch_training_examples?
- zgcr/SimpleAICV_pytorch_training_examples is on GitHub at https://github.com/zgcr/SimpleAICV_pytorch_training_examples.