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---
license: apache-2.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: val
path: data/val-*
dataset_info:
features:
- name: id
dtype: string
- name: caption
dtype: string
- name: image
dtype: image
- name: cond
dtype: image
splits:
- name: val
num_bytes: 166271415.25
num_examples: 2603
- name: train
num_bytes: 4007778277.0
num_examples: 62312
download_size: 4097346656
dataset_size: 4174049692.25
---
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.
```python
# detect condition
keypoint_image = annotator(image, width=image.width, height=image.height)
if keypoint_image.dtype != np.uint8:
keypoint_image = (keypoint_image * 255).clip(0, 255).astype(np.uint8)
keypoint_image = Image.fromarray(keypoint_image)
is_all_black = np.all(np.array(keypoint_image) == 0)
``` |