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Potential draw_graph function fix for issue #52 #58

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Potential draw_graph function fix for issue #52 #58

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32 changes: 18 additions & 14 deletions deepposekit/utils/keypoints.py
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Original file line number Diff line number Diff line change
Expand Up @@ -66,27 +66,31 @@ def draw_graph(keypoints, height, width, output_shape, graph, sigma=1, linewidth
edge_confidence_list = []
for idx, label in enumerate(labels):
lines = graph[edge_labels == label]
keep_idx = np.where(lines != -1)[0]
lines_idx = np.where(edge_labels == label)[0]
edge_confidence = np.zeros((out_height, out_width, lines.shape[0]))
zeros = np.zeros((height, width, 1), dtype=np.uint8)
for jdx, (line_idx, line) in enumerate(zip(lines_idx, lines)):
if line >= 0:
pt1 = keypoints[line_idx]
pt2 = keypoints[line]
line_map = cv2.line(
zeros.copy(),
(int(pt1[0]), int(pt1[1])),
(int(pt2[0]), int(pt2[1])),
1,
linewidth,
lineType=cv2.LINE_AA,
)
blurred = cv2.GaussianBlur(
line_map.astype(np.float64), (height + 1, width + 1), sigma
)
resized = cv2.resize(blurred, (out_width, out_height)) + MACHINE_EPSILON
edge_confidence[..., jdx] = resized
edge_confidence = edge_confidence[..., 1:]
nan_pt1 = np.any(pt1 < 0)
nan_pt2 = np.any(pt2 < 0)
if not (nan_pt1 or nan_pt2):
line_map = cv2.line(
zeros.copy(),
(int(pt1[0]), int(pt1[1])),
(int(pt2[0]), int(pt2[1])),
1,
linewidth,
lineType=cv2.LINE_AA,
)
blurred = cv2.GaussianBlur(
line_map.astype(np.float64), (height + 1, width + 1), sigma
)
resized = cv2.resize(blurred, (out_width, out_height)) + MACHINE_EPSILON
edge_confidence[..., jdx] = resized
edge_confidence = edge_confidence[:,:,keep_idx]
edge_confidence_list.append(edge_confidence)
confidence[..., idx] = edge_confidence.sum(-1)
edge_confidence = np.concatenate(edge_confidence_list, -1)
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