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round area

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David PAGNON 2024-11-09 00:37:46 +01:00 committed by GitHub
parent 4d3a8aa028
commit cd92b89583
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1 changed files with 3 additions and 3 deletions
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Pose2Sim/Utilities/reproj_from_trc_calib.py
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@ -329,15 +329,15 @@ def dataset_to_mmpose2d(coords_df, mmpose_json_file, img_size, markerset='custom
x_coords = coords.loc[coords.index.get_level_values(3)=='x']
y_coords = coords.loc[coords.index.get_level_values(3)=='y']
min_x, min_y, max_x, max_y = np.nanmin(x_coords), np.nanmin(y_coords), np.nanmax(x_coords), np.nanmax(y_coords)
bbox_width = max_x - min_x
bbox_height = max_y - min_y
bbox_width = np.round(max_x - min_x, decimals=1)
bbox_height = np.round(max_y - min_y, decimals=1)
# bbox = [min_x, min_y, max_x, max_y]
bbox = [min_x, min_y, bbox_width, bbox_height] # coco format
id = person_ids[p]
category_id = 1
segmentation = [[min_x, min_y, min_x, max_y, max_x, max_y, max_x, min_y]] # no segmentation
area = bbox_width * bbox_height
area = np.round(bbox_width * bbox_height, decimals=1)
iscrowd = 0 # each annotation represents one single person
if not np.isnan(bbox).any():