Instructions to use Oliverdsfdsf/comic-panels-text-detect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use Oliverdsfdsf/comic-panels-text-detect with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("Oliverdsfdsf/comic-panels-text-detect") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse filesconvert pt to safetensors
README.md
CHANGED
|
@@ -33,7 +33,7 @@ This model powers [ebookcc](https://ebookcc.com), an automated tool for comic tr
|
|
| 33 |
from ultralytics import YOLO
|
| 34 |
|
| 35 |
# Load the model
|
| 36 |
-
model = YOLO('comic-panels-and-text-detect.
|
| 37 |
|
| 38 |
# Predict
|
| 39 |
results = model.predict(source='comic_page.jpg', conf=0.25, imgsz=1280)
|
|
|
|
| 33 |
from ultralytics import YOLO
|
| 34 |
|
| 35 |
# Load the model
|
| 36 |
+
model = YOLO('comic-panels-and-text-detect.safetensors')
|
| 37 |
|
| 38 |
# Predict
|
| 39 |
results = model.predict(source='comic_page.jpg', conf=0.25, imgsz=1280)
|