def detection_filtering(detections, groundtruths, threshold=0.5):
for gt_id, gt in enumerate(groundtruths):
if (gt[5].size == 0 or gt[5] == '#') and (gt[1].shape[1] > 1):
gt_x = list(map(int, np.squeeze(gt[1])))
gt_y = list(map(int, np.squeeze(gt[3])))
for det_id, detection in enumerate(detections):
detection = detection.split(',')
detection = list(map(int, detection[0:-1]))
det_y = detection[0::2]
det_x = detection[1::2]
det_gt_iou = iod(det_x, det_y, gt_x, gt_y)
if det_gt_iou > threshold:
detections[det_id] = []
detections[:] = [item for item in detections if item != []]
return detections
def detection_filtering(detections, groundtruths, threshold=0.5):
"""ignore detected illegal text region"""
before_filter_num = len(detections)
for gt_id, gt in enumerate(groundtruths):
if (gt['transcription'] == '###') and (gt['points'].shape[1] > 1):
gt_x = list(map(int, np.squeeze(gt['points'][:, 0])))
gt_y = list(map(int, np.squeeze(gt['points'][:, 1])))
for det_id, detection in enumerate(detections):
det_x = list(map(int, np.squeeze(detection['points'][:, 0])))
det_y = list(map(int, np.squeeze(detection['points'][:, 1])))
det_gt_iou = iod(det_x, det_y, gt_x, gt_y)
if det_gt_iou > threshold:
detections[det_id] = []
detections[:] = [item for item in detections if item != []]
# if before_filter_num - len(detections) > 0:
# print("Ignore {} illegal detections".format(before_filter_num - len(detections)))
return detections