Instructions to use keras/deeplab_v3_plus_resnet50_pascalvoc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasHub
How to use keras/deeplab_v3_plus_resnet50_pascalvoc with KerasHub:
import keras_hub # Create a ImageSegmenter model task = keras_hub.models.ImageSegmenter.from_preset("hf://keras/deeplab_v3_plus_resnet50_pascalvoc")import keras_hub # Create a Backbone model unspecialized for any task backbone = keras_hub.models.Backbone.from_preset("hf://keras/deeplab_v3_plus_resnet50_pascalvoc") - Keras
How to use keras/deeplab_v3_plus_resnet50_pascalvoc 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://keras/deeplab_v3_plus_resnet50_pascalvoc") - Notebooks
- Google Colab
- Kaggle
Download task.json from keras/deeplab_v3_plus_resnet50_pascalvoc: direct link, hf CLI and curl.
- Browser
- Download file 4.42 kB
-
https://huggingface.co/keras/deeplab_v3_plus_resnet50_pascalvoc/resolve/main/task.json
- Command line
-
hf download hf://keras/deeplab_v3_plus_resnet50_pascalvoc/task.json
-
curl -L -o task.json https://huggingface.co/keras/deeplab_v3_plus_resnet50_pascalvoc/resolve/main/task.json
4.42 kB
| { | |
| "module": "keras_hub.src.models.deeplab_v3.deeplab_v3_segmenter", | |
| "class_name": "DeepLabV3ImageSegmenter", | |
| "config": { | |
| "backbone": { | |
| "module": "keras_hub.src.models.deeplab_v3.deeplab_v3_backbone", | |
| "class_name": "DeepLabV3Backbone", | |
| "config": { | |
| "name": "deep_lab_v3_backbone", | |
| "trainable": true, | |
| "image_encoder": { | |
| "module": "keras_hub.src.models.resnet.resnet_backbone", | |
| "class_name": "ResNetBackbone", | |
| "config": { | |
| "name": "res_net_backbone", | |
| "trainable": true, | |
| "input_conv_filters": [ | |
| 64 | |
| ], | |
| "input_conv_kernel_sizes": [ | |
| 7 | |
| ], | |
| "stackwise_num_filters": [ | |
| 64, | |
| 128, | |
| 256, | |
| 512 | |
| ], | |
| "stackwise_num_blocks": [ | |
| 3, | |
| 4, | |
| 6, | |
| 3 | |
| ], | |
| "stackwise_num_strides": [ | |
| 1, | |
| 2, | |
| 2, | |
| 2 | |
| ], | |
| "block_type": "bottleneck_block", | |
| "use_pre_activation": false, | |
| "image_shape": [ | |
| null, | |
| null, | |
| 3 | |
| ] | |
| }, | |
| "registered_name": "keras_hub>ResNetBackbone" | |
| }, | |
| "projection_filters": 48, | |
| "dilation_rates": [ | |
| 6, | |
| 12, | |
| 18 | |
| ], | |
| "upsampling_size": 8, | |
| "low_level_feature_key": "P2", | |
| "spatial_pyramid_pooling_key": "P5", | |
| "image_shape": [ | |
| null, | |
| null, | |
| 3 | |
| ] | |
| }, | |
| "registered_name": "keras_hub>DeepLabV3Backbone" | |
| }, | |
| "preprocessor": { | |
| "module": "keras_hub.src.models.deeplab_v3.deeplab_v3_image_segmeter_preprocessor", | |
| "class_name": "DeepLabV3ImageSegmenterPreprocessor", | |
| "config": { | |
| "name": "deep_lab_v3_image_segmenter_preprocessor", | |
| "trainable": true, | |
| "dtype": { | |
| "module": "keras", | |
| "class_name": "DTypePolicy", | |
| "config": { | |
| "name": "float32" | |
| }, | |
| "registered_name": null | |
| }, | |
| "image_converter": { | |
| "module": "keras_hub.src.models.deeplab_v3.deeplab_v3_image_converter", | |
| "class_name": "DeepLabV3ImageConverter", | |
| "config": { | |
| "name": "deep_lab_v3_image_converter", | |
| "trainable": true, | |
| "dtype": { | |
| "module": "keras", | |
| "class_name": "DTypePolicy", | |
| "config": { | |
| "name": "float32" | |
| }, | |
| "registered_name": null | |
| }, | |
| "image_size": [ | |
| 512, | |
| 512 | |
| ], | |
| "scale": null, | |
| "offset": null, | |
| "interpolation": "nearest", | |
| "crop_to_aspect_ratio": true | |
| }, | |
| "registered_name": "keras_hub>DeepLabV3ImageConverter" | |
| }, | |
| "config_file": "preprocessor.json" | |
| }, | |
| "registered_name": "keras_hub>DeepLabV3ImageSegmenterPreprocessor" | |
| }, | |
| "name": "deep_lab_v3_image_segmenter", | |
| "num_classes": 21, | |
| "activation": "softmax" | |
| }, | |
| "registered_name": "keras_hub>DeepLabV3ImageSegmenter" | |
| } |