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Add COCO instance segmentation evaluation #671
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yuyu2172
reviewed
Jul 9, 2018
| .. csv-table:: | ||
| :header: name, shape, dtype, format | ||
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| :obj:`pred_masks`, ":math:`[(R, H, W)]`", :obj:`float32`, \ |
| ":math:`[0, \#fg\_class - 1]`" | ||
| :obj:`pred_scores`, ":math:`[(R,)]`", :obj:`float32`, \ | ||
| -- | ||
| :obj:`gt_masks`, ":math:`[(R, H, W)]`", :obj:`float32`, \ |
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| This function evaluates predicted bounding boxes obtained from a dataset | ||
| by using average precision for each class. | ||
| The code is based on the evaluation code used in MS COCO. |
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bounding boxes ---> instance segmentation
| def eval_instance_segmentation_coco( | ||
| pred_masks, pred_labels, pred_scores, | ||
| gt_masks, gt_labels, gt_areas=None, gt_crowdeds=None): | ||
| """Evaluate detections based on evaluation code of MS COCO. |
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detection --> instance segmentation
| :header: key, type, description | ||
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| ap/iou=0.50:0.95/area=all/max_dets=100, *numpy.ndarray*, \ | ||
| [#coco_det_eval_1]_ |
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change coco_det_eval_1 to coco_inst_segm_eval_1.
The link conflicts with eval_detection_coco.
You will notice the problem after compiling.
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Thank you for review. I updated. |
yuyu2172
approved these changes
Jul 9, 2018
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merge after #665
This PR is based on https://github.com/yuyu2172/coco-evaluation