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--- |
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license: apache-2.0 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: val |
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path: data/val-* |
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dataset_info: |
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features: |
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- name: id |
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dtype: string |
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- name: caption |
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dtype: string |
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- name: image |
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dtype: image |
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- name: cond |
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dtype: image |
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splits: |
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- name: val |
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num_bytes: 166271415.25 |
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num_examples: 2603 |
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- name: train |
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num_bytes: 4007778277.0 |
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num_examples: 62312 |
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download_size: 4097346656 |
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dataset_size: 4174049692.25 |
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--- |
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We employed [DWPose](https://huggingface.co/yzd-v/DWPose) to detect keypoints in the MSCOCO dataset, subsequently filtering out images where no keypoints were successfully detected. |
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|
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```python |
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# detect condition |
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keypoint_image = annotator(image, width=image.width, height=image.height) |
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if keypoint_image.dtype != np.uint8: |
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keypoint_image = (keypoint_image * 255).clip(0, 255).astype(np.uint8) |
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keypoint_image = Image.fromarray(keypoint_image) |
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|
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is_all_black = np.all(np.array(keypoint_image) == 0) |
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``` |
