Instructions to use vickygupta1996/VGG16_Sign_Verification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use vickygupta1996/VGG16_Sign_Verification with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("vickygupta1996/VGG16_Sign_Verification") - Notebooks
- Google Colab
- Kaggle
File size: 854 Bytes
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description: Learn how to adjust bounding boxes to image borders in Ultralytics models using the bbox_iou utility. Enhance your object detection performance.
keywords: Ultralytics, bounding boxes, Bboxes, image borders, object detection, bbox_iou, model utilities
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# Reference for `ultralytics/models/fastsam/utils.py`
!!! note
Full source code for this file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/fastsam/utils.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/fastsam/utils.py). Help us fix any issues you see by submitting a [Pull Request](https://docs.ultralytics.com/help/contributing/) 🛠️. Thank you 🙏!
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## ::: ultralytics.models.fastsam.utils.adjust_bboxes_to_image_border
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## ::: ultralytics.models.fastsam.utils.bbox_iou
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