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
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Download SignatureDetection/ultralytics/docs/reference/data/augment.md from vickygupta1996/VGG16_Sign_Verification: direct link, hf CLI and curl.
- Browser
- Download file 1.86 kB
-
https://huggingface.co/vickygupta1996/VGG16_Sign_Verification/resolve/main/SignatureDetection/ultralytics/docs/reference/data/augment.md
- Command line
-
hf download hf://vickygupta1996/VGG16_Sign_Verification/SignatureDetection/ultralytics/docs/reference/data/augment.md
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curl -L -o augment.md https://huggingface.co/vickygupta1996/VGG16_Sign_Verification/resolve/main/SignatureDetection/ultralytics/docs/reference/data/augment.md
1.86 kB
metadata
description: >-
Detailed exploration into Ultralytics data augmentation methods including
BaseTransform, MixUp, LetterBox, ToTensor, and more for enhancing model
performance.
keywords: >-
Ultralytics, Data Augmentation, BaseTransform, MixUp, RandomHSV, LetterBox,
Albumentations, classify_transforms, classify_albumentations
Reference for ultralytics/data/augment.py
!!! note
Full source code for this file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/augment.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/augment.py). Help us fix any issues you see by submitting a [Pull Request](https://docs.ultralytics.com/help/contributing/) 🛠️. Thank you 🙏!