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Signed-off-by: Jael Gu <mengjia.gu@zilliz.com>
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README.md
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@ -18,9 +18,7 @@ who maintains SOTA deep-learning models and tools in computer vision. |
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Load an image from path './towhee.jpeg' |
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Load an image from path './towhee.jpeg' |
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and use the pre-trained ResNet50 model ('resnet50') to generate an image embedding. |
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and use the pre-trained ResNet50 model ('resnet50') to generate an image embedding. |
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*Write a same pipeline with explicit inputs/outputs name specifications:* |
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- **option 1:** |
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*Write a pipeline with explicit inputs/outputs name specifications:* |
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```python |
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```python |
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from towhee.dc2 import pipe, ops, DataCollection |
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from towhee.dc2 import pipe, ops, DataCollection |
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@ -37,17 +35,6 @@ DataCollection(p('towhee.jpeg')).show() |
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<img src="./result.png" height="150px"/> |
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<img src="./result.png" height="150px"/> |
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- **option 2:** |
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```python |
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import towhee |
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towhee.glob['path']('./towhee.jpeg') \ |
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.image_decode['path', 'img']() \ |
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.image_embedding.timm['img', 'vec'](model_name='resnet50') \ |
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.select['img', 'vec']() \ |
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.show() |
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``` |
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<br /> |
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<br /> |
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## Factory Constructor |
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## Factory Constructor |
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