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fix problem when training yolov3 with no-valid-bbox img #1555

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fix problem when training yolov3 with no-valid-bbox img #1555

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3 changes: 3 additions & 0 deletions gluoncv/data/pascal_voc/detection.py
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Original file line number Diff line number Diff line change
Expand Up @@ -130,6 +130,9 @@ def _load_label(self, idx):
label.append([xmin, ymin, xmax, ymax, cls_id, difficult])
except AssertionError as e:
logging.warning("Invalid label at %s, %s", anno_path, e)
if not label:
# dummy invalid labels if no valid objects are found
label.append([-1, -1, -1, -1, -1, -1])
return np.array(label)

def _validate_label(self, xmin, ymin, xmax, ymax, width, height):
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2 changes: 2 additions & 0 deletions gluoncv/model_zoo/yolo/yolo_target.py
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Expand Up @@ -103,6 +103,8 @@ def forward(self, img, xs, anchors, offsets, gt_boxes, gt_ids, gt_mixratio=None)
for m in range(matches.shape[1]):
if valid_gts[b, m] < 1:
break
if np_gt_ids[b, m, 0] < 0: # ignore fake bbox
break
match = int(matches[b, m])
nlayer = np.nonzero(num_anchors > match)[0][0]
height = xs[nlayer].shape[2]
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