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
VGG16_Sign_Verification / SignatureDetection /ultralytics /docs /reference /models /fastsam /utils.md
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Download SignatureDetection/ultralytics/docs/reference/models/fastsam/utils.md from vickygupta1996/VGG16_Sign_Verification: direct link, hf CLI and curl.
- Browser
- Download file 854 Bytes
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https://huggingface.co/vickygupta1996/VGG16_Sign_Verification/resolve/main/SignatureDetection/ultralytics/docs/reference/models/fastsam/utils.md
- Command line
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hf download hf://vickygupta1996/VGG16_Sign_Verification/SignatureDetection/ultralytics/docs/reference/models/fastsam/utils.md
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curl -L -o utils.md https://huggingface.co/vickygupta1996/VGG16_Sign_Verification/resolve/main/SignatureDetection/ultralytics/docs/reference/models/fastsam/utils.md
854 Bytes
metadata
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
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 🙏!