add --map_type to set voc_eval map_type (#3260)

PaddleCV/PaddleDetection/configs/ssd/ssd_mobilenet_v1_voc.yml

@@ -8,6 +8,7 @@ max_iters: 28000
 snapshot_iter: 2000
 log_smooth_window: 1
 metric: VOC
+map_type: 11point
 save_dir: output
 weights: output/ssd_mobilenet_v1_voc/model_final/
 num_classes: 21

PaddleCV/PaddleDetection/configs/ssd/ssd_vgg16_300_voc.yml

@@ -8,6 +8,7 @@ snapshot_iter: 10000
 log_smooth_window: 20
 log_iter: 20
 metric: VOC
+map_type: 11point
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/VGG16_caffe_pretrained.tar
 save_dir: output
 weights: output/ssd_vgg16_300_voc/model_final/

PaddleCV/PaddleDetection/configs/ssd/ssd_vgg16_512_voc.yml

@@ -8,6 +8,7 @@ snapshot_iter: 10000
 log_smooth_window: 20
 log_iter: 20
 metric: VOC
+map_type: 11point
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/VGG16_caffe_pretrained.tar
 save_dir: output
 weights: output/ssd_vgg16_512_voc/model_final/

PaddleCV/PaddleDetection/configs/yolov3_darknet_voc.yml

@@ -8,6 +8,7 @@ log_smooth_window: 20
 save_dir: output
 snapshot_iter: 2000
 metric: VOC
+map_type: 11point
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/DarkNet53_pretrained.tar
 weights: output/yolov3_darknet_voc/model_final
 num_classes: 20

PaddleCV/PaddleDetection/configs/yolov3_mobilenet_v1_voc.yml

@@ -8,6 +8,7 @@ log_smooth_window: 20
 save_dir: output
 snapshot_iter: 2000
 metric: VOC
+map_type: 11point
 pretrain_weights: http://paddle-imagenet-models-name.bj.bcebos.com/MobileNetV1_pretrained.tar
 weights: output/yolov3_mobilenet_v1_voc/model_final
 num_classes: 20

PaddleCV/PaddleDetection/configs/yolov3_r34_voc.yml

@@ -8,6 +8,7 @@ log_smooth_window: 20
 save_dir: output
 snapshot_iter: 2000
 metric: VOC
+map_type: 11point
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet34_pretrained.tar
 weights: output/yolov3_r34_voc/model_final
 num_classes: 20

PaddleCV/PaddleDetection/docs/config_example/ssd_vgg16_300.yml

@@ -17,8 +17,10 @@ snapshot_iter: 10000
 log_smooth_window: 20
 # The log in training is displayed once every period.
 log_iter: 20
-# Evalution method, COCO and VOC are available.
+# Evaluation method, COCO and VOC are available.
 metric: COCO
+# Evaluation mAP calculation method in VOC metric, 11point and integral are available.
+map_type: 11point
 # The path of final model for evaluation and test.
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/VGG16_caffe_pretrained.tar
 # The directory to save models.

PaddleCV/PaddleDetection/ppdet/utils/eval_utils.py

@@ -96,7 +96,8 @@ def eval_results(results,
                  num_classes,
                  resolution=None,
                  is_bbox_normalized=False,
-                 output_directory=None):
+                 output_directory=None,
+                 map_type='11point'):
     """Evaluation for evaluation program results"""
     box_ap_stats = []
     if metric == 'COCO':
@@ -129,7 +130,9 @@ def eval_results(results,
             box_ap_stats.append(res * 100.)
         elif 'bbox' in results[0]:
             box_ap = voc_bbox_eval(
-                results, num_classes, is_bbox_normalized=is_bbox_normalized)
+                results, num_classes, 
+                is_bbox_normalized=is_bbox_normalized,
+                map_type=map_type)
             box_ap_stats.append(box_ap)
     return box_ap_stats
 

PaddleCV/PaddleDetection/tools/eval.py

@@ -137,7 +137,7 @@ def main():
     if 'mask' in results[0]:
         resolution = model.mask_head.resolution
     eval_results(results, eval_feed, cfg.metric, cfg.num_classes, resolution,
-                 is_bbox_normalized, FLAGS.output_eval)
+                 is_bbox_normalized, FLAGS.output_eval, cfg.map_type)
 
 
 if __name__ == '__main__':