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@ -18,18 +18,18 @@ This operator extracts features for image or text with [CLIP](https://arxiv.org/ |
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## Code Example |
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Load an image from path './teddy.jpg' to generate an image embedding. |
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Read the text 'a dog' to generate an text embedding. |
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Read the text 'A teddybear on a skateboard in Times Square.' to generate an text embedding. |
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*Write the pipeline in simplified style*: |
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```python |
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import towhee |
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towhee.glob('./dog.jpg') \ |
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towhee.glob('./teddy.jpg') \ |
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.image_decode.cv2() \ |
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.towhee.clip(name='ViT-B/32', modality='image') \ |
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.show() |
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towhee.dc(["a dog"]) \ |
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towhee.dc(["A teddybear on a skateboard in Times Square."]) \ |
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.image_decode.cv2() \ |
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.towhee.clip(name='ViT-B/32', modality='text') \ |
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.show() |
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@ -42,19 +42,19 @@ towhee.dc(["a dog"]) \ |
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```python |
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import towhee |
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towhee.glob['path']('./dog.jpg') \ |
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towhee.glob['path']('./teddy.jpg') \ |
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.image_decode.cv2['path', 'img']() \ |
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.towhee.clip['data', 'vec'](name='ViT-B/32', modality='image') \ |
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.select['data', 'vec']() \ |
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.show() |
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towhee.dc(["a dog"]) \ |
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.select['img', 'vec']() \ |
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.towhee.clip['data', 'vec'](name='ViT-B/32', modality='image') \ |
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.select['data', 'vec']() \ |
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towhee.dc['text'](["A teddybear on a skateboard in Times Square."]) \ |
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.towhee.clip['text','vec'](name='ViT-B/32', modality='text') \ |
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.select['text', 'vec']() \ |
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.show() |
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``` |
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<img src="https://towhee.io/towhee/clip/raw/branch/main/tabular1.png" alt="result1" style="height:60px;"/> |
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<img src="https://towhee.io/towhee/clip/raw/branch/main/tabular2.png" alt="result2" style="height:60px;"/> |
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<br /> |
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@ -71,7 +71,16 @@ Create the operator via the following factory method |
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***name:*** *str* |
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The model name of CLIP. |
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The model name of CLIP. avaliable options are: |
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- RN50 |
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- RN101 |
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- RN50x4 |
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- RN50x16 |
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- RN50x64 |
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- ViT-B/32 |
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- ViT-B/64 |
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- ViT-L/14 |
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***modality:*** *str* |
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@ -83,7 +92,7 @@ Create the operator via the following factory method |
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## Interface |
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An image-text embedding operator takes a [towhee image](link/to/towhee/image/api/doc) or string as input and generate an image embedding in ndarray. |
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An image-text embedding operator takes a [towhee image](link/to/towhee/image/api/doc) or string as input and generate an embedding in ndarray. |
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**Parameters:** |
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