Instructions to use toto10/Ooga with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use toto10/Ooga with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("toto10/Ooga", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 491 Bytes
6434f59 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | import cv2
def apply_binary(img, bin_threshold):
img_gray = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
if bin_threshold == 0 or bin_threshold == 255:
# Otsu's threshold
otsu_threshold, img_bin = cv2.threshold(img_gray, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)
print("Otsu threshold:", otsu_threshold)
else:
_, img_bin = cv2.threshold(img_gray, bin_threshold, 255, cv2.THRESH_BINARY_INV)
return cv2.cvtColor(img_bin, cv2.COLOR_GRAY2RGB)
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