Upload folder using huggingface_hub
Browse files- README.md +12 -0
- config.json +26 -0
- image_converter.json +30 -0
- metadata.json +6 -0
- model.weights.h5 +3 -0
- preprocessor.json +48 -0
- task.json +87 -0
- task.weights.h5 +3 -0
README.md
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---
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library_name: keras-hub
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---
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This is a [`VGG` model](https://keras.io/api/keras_hub/models/vgg) uploaded using the KerasHub library and can be used with JAX, TensorFlow, and PyTorch backends.
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This model is related to a `ImageClassifier` task.
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Model config:
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* **stackwise_num_repeats:** [1, 1, 2, 2, 2]
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* **stackwise_num_filters:** [64, 128, 256, 512, 512]
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* **image_shape:** [None, None, 3]
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This model card has been generated automatically and should be completed by the model author. See [Model Cards documentation](https://huggingface.co/docs/hub/model-cards) for more information.
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config.json
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{
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"module": "keras_hub.src.models.vgg.vgg_backbone",
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"class_name": "VGGBackbone",
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"config": {
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"stackwise_num_repeats": [
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1,
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1,
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2,
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2,
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2
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],
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"stackwise_num_filters": [
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64,
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128,
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256,
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512,
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512
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],
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"image_shape": [
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null,
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null,
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3
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]
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},
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"registered_name": "keras_hub>VGGBackbone"
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}
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image_converter.json
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{
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"module": "keras_hub.src.models.vgg.vgg_image_classifier",
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"class_name": "VGGImageConverter",
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"config": {
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"name": "vgg_image_converter",
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"trainable": true,
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"dtype": {
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"module": "keras",
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"class_name": "DTypePolicy",
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"config": {
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"name": "float32"
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},
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"registered_name": null
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},
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"image_size": null,
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"scale": [
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0.017124753831663668,
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0.01750700280112045,
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0.017429193899782133
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],
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"offset": [
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-2.1179039301310043,
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-2.0357142857142856,
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-1.8044444444444445
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],
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"interpolation": "bilinear",
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"crop_to_aspect_ratio": true
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},
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"registered_name": "keras_hub>VGGImageConverter"
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}
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metadata.json
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{
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"keras_version": "3.5.0",
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"keras_hub_version": "0.16.1",
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"parameter_count": 9220480,
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"date_saved": "2024-10-15@00:19:19"
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}
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model.weights.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:d607e0b334661c941f802d8a19fd23e285a6ca813070d4d987ff708b3bbaa529
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size 36918336
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preprocessor.json
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{
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"module": "keras_hub.src.models.vgg.vgg_image_classifier",
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"class_name": "VGGImageClassifierPreprocessor",
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"config": {
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"name": "vgg_image_classifier_preprocessor",
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"trainable": true,
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"dtype": {
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"module": "keras",
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"class_name": "DTypePolicy",
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"config": {
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"name": "float32"
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},
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"registered_name": null
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},
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"image_converter": {
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"module": "keras_hub.src.models.vgg.vgg_image_classifier",
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"class_name": "VGGImageConverter",
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"config": {
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"name": "vgg_image_converter",
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"trainable": true,
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"dtype": {
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"module": "keras",
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"class_name": "DTypePolicy",
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"config": {
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"name": "float32"
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},
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"registered_name": null
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},
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"image_size": null,
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"scale": [
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0.017124753831663668,
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+
0.01750700280112045,
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0.017429193899782133
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],
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"offset": [
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-2.1179039301310043,
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-2.0357142857142856,
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-1.8044444444444445
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],
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"interpolation": "bilinear",
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"crop_to_aspect_ratio": true
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},
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"registered_name": "keras_hub>VGGImageConverter"
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},
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"config_file": "preprocessor.json"
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},
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"registered_name": "keras_hub>VGGImageClassifierPreprocessor"
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}
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task.json
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{
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"module": "keras_hub.src.models.vgg.vgg_image_classifier",
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"class_name": "VGGImageClassifier",
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| 4 |
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"config": {
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"backbone": {
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| 6 |
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"module": "keras_hub.src.models.vgg.vgg_backbone",
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| 7 |
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"class_name": "VGGBackbone",
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"config": {
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"stackwise_num_repeats": [
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1,
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1,
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2,
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2,
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+
2
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],
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"stackwise_num_filters": [
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64,
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128,
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256,
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| 20 |
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512,
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+
512
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],
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| 23 |
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"image_shape": [
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null,
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null,
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3
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]
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| 28 |
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},
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| 29 |
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"registered_name": "keras_hub>VGGBackbone"
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| 30 |
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},
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"preprocessor": {
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| 32 |
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"module": "keras_hub.src.models.vgg.vgg_image_classifier",
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| 33 |
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"class_name": "VGGImageClassifierPreprocessor",
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| 34 |
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"config": {
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| 35 |
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"name": "vgg_image_classifier_preprocessor",
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| 36 |
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"trainable": true,
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| 37 |
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"dtype": {
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| 38 |
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"module": "keras",
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| 39 |
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"class_name": "DTypePolicy",
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| 40 |
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"config": {
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| 41 |
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"name": "float32"
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| 42 |
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},
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| 43 |
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"registered_name": null
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| 44 |
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},
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| 45 |
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"image_converter": {
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| 46 |
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"module": "keras_hub.src.models.vgg.vgg_image_classifier",
|
| 47 |
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"class_name": "VGGImageConverter",
|
| 48 |
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"config": {
|
| 49 |
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"name": "vgg_image_converter",
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| 50 |
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"trainable": true,
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| 51 |
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"dtype": {
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| 52 |
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"module": "keras",
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| 53 |
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"class_name": "DTypePolicy",
|
| 54 |
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"config": {
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| 55 |
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"name": "float32"
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| 56 |
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},
|
| 57 |
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"registered_name": null
|
| 58 |
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},
|
| 59 |
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"image_size": null,
|
| 60 |
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"scale": [
|
| 61 |
+
0.017124753831663668,
|
| 62 |
+
0.01750700280112045,
|
| 63 |
+
0.017429193899782133
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| 64 |
+
],
|
| 65 |
+
"offset": [
|
| 66 |
+
-2.1179039301310043,
|
| 67 |
+
-2.0357142857142856,
|
| 68 |
+
-1.8044444444444445
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| 69 |
+
],
|
| 70 |
+
"interpolation": "bilinear",
|
| 71 |
+
"crop_to_aspect_ratio": true
|
| 72 |
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},
|
| 73 |
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"registered_name": "keras_hub>VGGImageConverter"
|
| 74 |
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},
|
| 75 |
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"config_file": "preprocessor.json"
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| 76 |
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},
|
| 77 |
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"registered_name": "keras_hub>VGGImageClassifierPreprocessor"
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| 78 |
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},
|
| 79 |
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"name": "vgg_image_classifier",
|
| 80 |
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"num_classes": 1000,
|
| 81 |
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"pooling": "avg",
|
| 82 |
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"activation": null,
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| 83 |
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"dropout": 0.0,
|
| 84 |
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"pooling_hidden_dim": 4096
|
| 85 |
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},
|
| 86 |
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"registered_name": "keras_hub>VGGImageClassifier"
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}
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task.weights.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:43be9455098504ab3fdb2b409ed3e7c2a9be39b938275e5d54725303d63f12e0
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| 3 |
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size 531514528
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