Update README.md

README.md

@@ -1,29 +1,41 @@
----
-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
----
+---
+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)
+```