Fix ProportionChanger Ultimate canvas size scaling issue
- Fix double scaling bug when target and reference images have different canvas sizes - Remove redundant canvas scaling from proportion processing - Coordinate conversion functions already handle canvas size differences automatically - Resolves issue where 512x512 reference → 1024x1024 target produced coordinates outside canvas bounds - Add test directory to .gitignore for development testing 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
gear_machine
+2
-1
@@ -15,4 +15,5 @@ convert_*
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# Development files
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issues/
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.claude/
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CLAUDE.md
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CLAUDE.md
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test/
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@@ -52,11 +52,20 @@ class ProportionChangerUltimateUniAnimateDWPoseDetector:
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# Convert POSE_KEYPOINT to DWPose format
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pose_data = pose_keypoint_to_dwpose_format(pose_keypoints, canvas_width, canvas_height)
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ref_data = None
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ref_canvas_width, ref_canvas_height = canvas_width, canvas_height
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if reference_pose_keypoint is not None:
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ref_data = pose_keypoint_to_dwpose_format(reference_pose_keypoint, canvas_width, canvas_height)
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# Get reference canvas dimensions
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ref_frame_data = reference_pose_keypoint[0]
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ref_canvas_width = ref_frame_data.get('canvas_width', 512)
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ref_canvas_height = ref_frame_data.get('canvas_height', 768)
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# Convert reference using its own canvas dimensions
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ref_data = pose_keypoint_to_dwpose_format(reference_pose_keypoint, ref_canvas_width, ref_canvas_height)
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# Apply proportion changing algorithms (extracted from original code)
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processed_pose = self.apply_proportion_changes(pose_data, ref_data, score_threshold)
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processed_pose = self.apply_proportion_changes(
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pose_data, ref_data, score_threshold,
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canvas_width, canvas_height, ref_canvas_width, ref_canvas_height
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)
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# Convert back to POSE_KEYPOINT format
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result_keypoint = dwpose_format_to_pose_keypoint(
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@@ -69,7 +78,8 @@ class ProportionChangerUltimateUniAnimateDWPoseDetector:
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return (result_keypoint,)
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def apply_proportion_changes(self, pose_data, ref_data, score_threshold):
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def apply_proportion_changes(self, pose_data, ref_data, score_threshold,
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canvas_width, canvas_height, ref_canvas_width, ref_canvas_height):
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"""
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Apply proportion changing algorithms from the original DWPose detector
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Complete 1:1 port from pose_extract function (lines 241-500+) in WanVideoWrapper
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@@ -96,7 +106,11 @@ class ProportionChangerUltimateUniAnimateDWPoseDetector:
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ref_faces = ref_data['faces']
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ref_hands = ref_data['hands']
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# NOTE: Canvas size scaling is handled automatically by the coordinate conversion functions
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# No manual canvas scaling needed in proportion processing
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# Complete algorithm port from original lines 241-500+
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# Note: ref_candidate, ref_hands, ref_faces are already canvas-size-scaled if needed
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ref_2_x = ref_candidate[2][0]
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ref_2_y = ref_candidate[2][1]
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ref_5_x = ref_candidate[5][0]
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@@ -119,9 +133,18 @@ class ProportionChangerUltimateUniAnimateDWPoseDetector:
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zero_center1 = 0.5*(candidate[2]+candidate[5])
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zero_center2 = 0.5*(candidate[8]+candidate[11])
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x_ratio = (ref_5_x-ref_2_x)/(zero_5_x-zero_2_x)
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y_ratio = (ref_center2[1]-ref_center1[1])/(zero_center2[1]-zero_center1[1])
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# Calculate proportion ratios WITHOUT canvas size scaling (will be applied uniformly at the end)
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ref_proportion_x = (ref_5_x-ref_2_x)
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ref_proportion_y = (ref_center2[1]-ref_center1[1])
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target_proportion_x = (zero_5_x-zero_2_x)
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target_proportion_y = (zero_center2[1]-zero_center1[1])
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x_ratio = ref_proportion_x / target_proportion_x if target_proportion_x != 0 else 1.0
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y_ratio = ref_proportion_y / target_proportion_y if target_proportion_y != 0 else 1.0
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# Store original candidate before scaling for face calculations
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original_candidate = candidate.copy()
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candidate[:,0] *= x_ratio
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candidate[:,1] *= y_ratio
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hands[:,:,0] *= x_ratio
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@@ -134,8 +157,10 @@ class ProportionChangerUltimateUniAnimateDWPoseDetector:
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# Calculate reference and target proportions
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# Use ACTUAL ears (keypoints 3,4) not knees!
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# Use original reference measurements (no canvas scaling for face calculations)
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ref_ear_distance = ((ref_candidate[3][0] - ref_candidate[4][0]) ** 2 + (ref_candidate[3][1] - ref_candidate[4][1]) ** 2) ** 0.5
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target_ear_distance_original = ((candidate[3][0] - candidate[4][0]) ** 2 + (candidate[3][1] - candidate[4][1]) ** 2) ** 0.5
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# Use ORIGINAL candidate (before body scaling) for face calculations
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target_ear_distance_original = ((original_candidate[3][0] - original_candidate[4][0]) ** 2 + (original_candidate[3][1] - original_candidate[4][1]) ** 2) ** 0.5
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if target_ear_distance_original > 0:
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# Calculate original face contour width (before any scaling)
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@@ -144,14 +169,15 @@ class ProportionChangerUltimateUniAnimateDWPoseDetector:
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original_face_width = ((original_faces[0, face_right_idx, 0] - original_faces[0, face_left_idx, 0]) ** 2 +
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(original_faces[0, face_right_idx, 1] - original_faces[0, face_left_idx, 1]) ** 2) ** 0.5
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# Reference face contour width
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# Reference face contour width (use original measurements, canvas scaling applied later)
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ref_faces = ref_data['faces'] if ref_data else None
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if ref_faces is not None and len(ref_faces) > 0 and ref_faces.shape[1] > 16:
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# Use original reference face measurements (no canvas scaling here)
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ref_face_width = ((ref_faces[0, face_right_idx, 0] - ref_faces[0, face_left_idx, 0]) ** 2 +
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(ref_faces[0, face_right_idx, 1] - ref_faces[0, face_left_idx, 1]) ** 2) ** 0.5
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if ref_face_width > 0 and original_face_width > 0:
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# X scaling: match reference face proportion
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# X scaling: match reference face proportion (no canvas scaling)
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face_scale_ratio_x = ref_face_width / original_face_width
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# Y scaling: match reference face height proportion
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@@ -164,7 +190,7 @@ class ProportionChangerUltimateUniAnimateDWPoseDetector:
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original_face_height = ((original_faces[0, nose_idx, 1] - original_faces[0, chin_idx, 1]) ** 2 +
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(original_faces[0, nose_idx, 0] - original_faces[0, chin_idx, 0]) ** 2) ** 0.5
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# Calculate reference face height
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# Calculate reference face height (use original measurements)
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ref_face_height = ((ref_faces[0, nose_idx, 1] - ref_faces[0, chin_idx, 1]) ** 2 +
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(ref_faces[0, nose_idx, 0] - ref_faces[0, chin_idx, 0]) ** 2) ** 0.5
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@@ -228,6 +254,7 @@ class ProportionChangerUltimateUniAnimateDWPoseDetector:
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# Apply X and Y offsets independently
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faces[:, :, 0] += x_offset_face
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faces[:, :, 1] += y_offset_face
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else:
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# Fallback to body scaling if ear distance calculation fails
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faces[:,:,0] *= x_ratio
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@@ -476,6 +503,12 @@ class ProportionChangerUltimateUniAnimateDWPoseDetector:
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# Fallback: apply same offset as body
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faces += offset[np.newaxis, np.newaxis, :]
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# NOTE: Canvas scaling is NOT needed here because:
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# 1. pose_keypoint_to_dwpose_format converts to normalized coordinates (0-1)
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# 2. proportion processing works on normalized coordinates
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# 3. dwpose_format_to_pose_keypoint converts back to target canvas coordinates
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# Adding canvas scaling here would result in double scaling!
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return {
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'bodies': {
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'candidate': candidate,
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