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@ -24,40 +24,33 @@ Read the text 'kids feeding and playing with the horse' to generate an text embe |
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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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from towhee.dc2 import pipe, ops, DataCollection |
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towhee.dc(['./demo_video.mp4']) \ |
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.video_decode.ffmpeg(sample_type='uniform_temporal_subsample', args={'num_samples': 12}) \ |
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.runas_op(func=lambda x: [y for y in x]) \ |
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.clip4clip(model_name='clip_vit_b32', modality='video', device='cpu') \ |
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.show() |
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p = ( |
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pipe.input('text') \ |
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.map('text', 'vec', ops.video_text_embedding.clip4clip(model_name='clip_vit_b32', modality='text', device='cuda:1')) \ |
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.output('text', 'vec') |
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) |
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towhee.dc(['kids feeding and playing with the horse']) \ |
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.clip4clip(model_name='clip_vit_b32', modality='text', device='cpu') \ |
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.show() |
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``` |
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 |
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 |
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DataCollection(p('kids feeding and playing with the horse')).show() |
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*Write a same pipeline with explicit inputs/outputs name specifications:* |
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``` |
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 |
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```python |
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import towhee |
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towhee.dc['path'](['./demo_video.mp4']) \ |
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.video_decode.ffmpeg['path', 'frames'](sample_type='uniform_temporal_subsample', args={'num_samples': 12}) \ |
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.runas_op['frames', 'frames'](func=lambda x: [y for y in x]) \ |
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.clip4clip['frames', 'vec'](model_name='clip_vit_b32', modality='video', device='cpu') \ |
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.show() |
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towhee.dc['text'](["kids feeding and playing with the horse"]) \ |
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.clip4clip['text','vec'](model_name='clip_vit_b32', modality='text', device='cpu') \ |
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.select['text', 'vec']() \ |
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.show() |
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``` |
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from towhee.dc2 import pipe, ops, DataCollection |
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 |
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 |
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p = ( |
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pipe.input('video_path') \ |
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.map('video_path', 'flame_gen', ops.video_decode.ffmpeg(sample_type='uniform_temporal_subsample', args={'num_samples': 12})) \ |
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.map('flame_gen', 'flame_list', lambda x: [y for y in x]) \ |
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.map('flame_list', 'vec', ops.video_text_embedding.clip4clip(model_name='clip_vit_b32', modality='video', device='cuda:2')) \ |
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.output('video_path', 'flame_list', 'vec') |
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) |
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DataCollection(p('./demo_video.mp4')).show() |
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``` |
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 |
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<br /> |
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