pesi
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Luigi commited on
Commit
a9e21bc
1 Parent(s): b79a8af

adjust visualisation style, allow draw_bbox() to show person id

Browse files
Files changed (1) hide show
  1. rtmo_gpu.py +18 -7
rtmo_gpu.py CHANGED
@@ -211,22 +211,24 @@ def draw_mmpose(img,
211
 
212
  return img
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- def draw_bbox(img, bboxes, bboxes_scores=None, color=None):
 
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  for i, bbox in enumerate(bboxes):
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  # Determine the color based on the score if no color is given
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  if color is None and bboxes_scores is not None:
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  # Scale the score to a color range (green to red)
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  score = bboxes_scores[i]
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- green = int((1 - score) * 255)
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- red = int(score * 255)
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- box_color = (0, green, red)
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  else:
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- box_color = color if color is not None else (0, 255, 0)
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  # Draw the bounding box
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  img = cv2.rectangle(img, (int(bbox[0]), int(bbox[1])),
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- (int(bbox[2]), int(bbox[3])), box_color, 1)
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  # Display the score at the top-right corner of the bounding box
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  if bboxes_scores is not None:
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  score_text = f'{bboxes_scores[i]:.2f}'
@@ -235,6 +237,15 @@ def draw_bbox(img, bboxes, bboxes_scores=None, color=None):
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  text_y = int(bbox[1]) + text_size[1]
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  img = cv2.putText(img, score_text, (text_x, text_y),
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  cv2.FONT_HERSHEY_SIMPLEX, 0.5, box_color, 1, cv2.LINE_AA)
 
 
 
 
 
 
 
 
 
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  return img
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  # with simplification to use onnxruntime only
@@ -242,7 +253,7 @@ def draw_skeleton(img,
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  keypoints,
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  scores,
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  kpt_thr=0.5,
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- radius=2,
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  line_width=2):
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  num_keypoints = keypoints.shape[1]
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211
 
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  return img
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+ def draw_bbox(img, bboxes, bboxes_scores=None, color=None, person_id_list=None, line_width=2):
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+ green = (0, 255, 0)
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  for i, bbox in enumerate(bboxes):
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  # Determine the color based on the score if no color is given
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  if color is None and bboxes_scores is not None:
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  # Scale the score to a color range (green to red)
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  score = bboxes_scores[i]
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+ start_color = np.array([128,128,128],dtype=np.uint8)
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+ end_color = np.array([128,255,128],dtype=np.uint8)
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+ box_color = (1 - score) * start_color + score * end_color
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  else:
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+ box_color = color if color is not None else end_color
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  # Draw the bounding box
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  img = cv2.rectangle(img, (int(bbox[0]), int(bbox[1])),
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+ (int(bbox[2]), int(bbox[3])), box_color, line_width)
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+ green_color = (0,255,0)
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  # Display the score at the top-right corner of the bounding box
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  if bboxes_scores is not None:
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  score_text = f'{bboxes_scores[i]:.2f}'
 
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  text_y = int(bbox[1]) + text_size[1]
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  img = cv2.putText(img, score_text, (text_x, text_y),
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  cv2.FONT_HERSHEY_SIMPLEX, 0.5, box_color, 1, cv2.LINE_AA)
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+
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+ # Display Person ID on the top-right corner edge of the bounding box
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+ if person_id_list is not None:
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+ person_id_text = str(person_id_list[i])
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+ text_size, _ = cv2.getTextSize(person_id_text, cv2.FONT_HERSHEY_SIMPLEX, 0.5, 2)
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+ text_x = int(bbox[2]) - text_size[0]
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+ text_y = int(bbox[1]) - text_size[1]
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+ img = cv2.putText(img, person_id_text, (text_x, text_y),
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+ cv2.FONT_HERSHEY_SIMPLEX, 0.5, box_color, 2, cv2.LINE_AA)
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  return img
250
 
251
  # with simplification to use onnxruntime only
 
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  keypoints,
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  scores,
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  kpt_thr=0.5,
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+ radius=1,
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  line_width=2):
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  num_keypoints = keypoints.shape[1]
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