Zero-Shot Object Detection
ZeroModels
Keras
PyTorch
JAX
TensorFlow
owlv2
open-vocabulary
object-detection
Instructions to use zeromodels/owlv2-large-patch14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ZeroModels
How to use zeromodels/owlv2-large-patch14 with ZeroModels:
# pip install -U zeromodels # ZeroModels is pure Keras 3, so pick a backend: "jax", "torch" or "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" from zeromodels import AutoZModel # AutoZModel reads the repo's model_type and loads the matching class. # For a task head use the matching loader, e.g. AutoZMImageClassify / AutoZMDetect / # AutoZMSemanticSegment / AutoZMTextGenerate (see zeromodels.auto). model = AutoZModel.from_weights("zeromodels/owlv2-large-patch14") - Keras
How to use zeromodels/owlv2-large-patch14 with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://zeromodels/owlv2-large-patch14") - Notebooks
- Google Colab
- Kaggle
docs: load image processor via from_weights
Browse files
README.md
CHANGED
|
@@ -49,7 +49,7 @@ from kerasformers.models.owlv2 import (
|
|
| 49 |
|
| 50 |
model = Owlv2Detect.from_weights("kerasformers/owlv2-large-patch14")
|
| 51 |
processor = Owlv2Processor.from_weights("kerasformers/owlv2-large-patch14")
|
| 52 |
-
image_processor = Owlv2ImageProcessor()
|
| 53 |
|
| 54 |
image = Image.open("your_image.jpg").convert("RGB")
|
| 55 |
prompts = ["a photo of a mug", "a photo of a knife"]
|
|
|
|
| 49 |
|
| 50 |
model = Owlv2Detect.from_weights("kerasformers/owlv2-large-patch14")
|
| 51 |
processor = Owlv2Processor.from_weights("kerasformers/owlv2-large-patch14")
|
| 52 |
+
image_processor = Owlv2ImageProcessor.from_weights("kerasformers/owlv2-large-patch14")
|
| 53 |
|
| 54 |
image = Image.open("your_image.jpg").convert("RGB")
|
| 55 |
prompts = ["a photo of a mug", "a photo of a knife"]
|