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Fix for bounding boxes coordinates and areas in COCO converter #266

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merged 1 commit into from
Jan 9, 2019
Merged

Fix for bounding boxes coordinates and areas in COCO converter #266

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17 changes: 11 additions & 6 deletions utils/coco/converter.py
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Original file line number Diff line number Diff line change
Expand Up @@ -96,8 +96,7 @@ def draw_polygons(polygons, img_name, input_dir, output_dir, draw_labels):
red = (0, 0, 255)
for poly in polygons:
label = poly['label']
rle = mask_util.frPyObjects(poly['points'], img.shape[0], img.shape[1])
bbox = mask_util.toBbox(rle)
_, bbox = polygon_area_and_bbox(poly['points'], img.shape[0], img.shape[1])
for j in range(0, len(poly['points'])):
i = 0
points = []
Expand All @@ -106,10 +105,12 @@ def draw_polygons(polygons, img_name, input_dir, output_dir, draw_labels):
y = int(poly['points'][j][i + 1])
points.append([x, y])
i += 2
bbox = [int(value) for value in bbox]
img = cv2.polylines(img, np.int32([points]), True, yellow, 1)
img = cv2.rectangle(img, (bbox[0], bbox[1]), (bbox[0] + bbox[2], bbox[1] + bbox[3]), red, 2)
if draw_labels:
x = int(bbox[0][0]) + int(bbox[0][2] / 4)
y = int(bbox[0][1]) + int(bbox[0][3] / 2)
x = bbox[0] + bbox[2] // 4
y = bbox[1] + bbox[3] // 2
cv2.putText(img, label, (x, y), cv2.FONT_HERSHEY_COMPLEX_SMALL, 1, red, 1)
cv2.imwrite(output_file, img)

Expand Down Expand Up @@ -206,6 +207,10 @@ def polygon_area_and_bbox(polygon, height, width):
rle = mask_util.frPyObjects(polygon, height, width)
area = mask_util.area(rle)
bbox = mask_util.toBbox(rle)
bbox = [min(bbox[:, 0]),
min(bbox[:, 1]),
max(bbox[:, 0] + bbox[:, 2]) - min(bbox[:, 0]),
max(bbox[:, 1] + bbox[:, 3]) - min(bbox[:, 1])]
return area, bbox

def insert_license_data(result_annotation):
Expand Down Expand Up @@ -337,8 +342,8 @@ def insert_annotation_data(image, category_map, segm_id, object, img_dims, resul
new_anno['iscrowd'] = 0
new_anno['segmentation'] = object['points']
area, bbox = polygon_area_and_bbox(object['points'], img_dims[0], img_dims[1])
new_anno['area'] = float(area[0])
new_anno['bbox'] = [bbox[0][0], bbox[0][1], bbox[0][2], bbox[0][3]]
new_anno['area'] = float(np.sum(area))
new_anno['bbox'] = bbox
result_annotation['annotations'].append(new_anno)


Expand Down