o_net hard_example报错

[lunar-r]

lunar@lunar-virtual-machine:~/PycharmProjects/tensorflow_mtcnn/preprocess$ python gen_hard_example.py 24 2019-05-12 09:33:06.690596: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 载入数据 8247it [2:47:10, 1.26it/s]Traceback (most recent call last): File "gen_hard_example.py", line 193, in main(parse_arguments(sys.argv[1:])) File "gen_hard_example.py", line 70, in main detectors,_=mtcnn_detector.detect_face(test_data) File "../detection/MtcnnDetector.py", line 87, in detect_face boxes, boxes_c, landmark = self.detect_rnet(im, boxes_c) File "../detection/MtcnnDetector.py", line 181, in detect_rnet cls_scores, reg, _ = self.rnet_detector.predict(cropped_ims) File "../detection/detector.py", line 63, in predict return np.concatenate(cls_prob_list, axis=0), np.concatenate(bbox_pred_list, axis=0), np.concatenate(landmark_pred_list, axis=0) ValueError: need at least one array to concatenate

请问一下这是什么报错？谢谢。

[LeslieZhoa]

Hi @mmcgg 从问题上看可能是detector.py里的return np.concatenate(cls_prob_list, axis=0), np.concatenate(bbox_pred_list, axis=0), np.concatenate(landmark_pred_list, axis=0)过程中某一tensor为空，具体还需您自己排查一下，我还没遇到这种情况。

[lunar-r]

好的，谢谢啦！

[Zepyhrus]

@mmcgg Hi 排查出来了吗？我遇到了同样的问题，也在排查中。

[Zepyhrus]

@mmcgg Hi，问题已解决，是部分图片会因为P网络检查不出来box，所以导致np.concatenate里的bbox_pred_list为空，典型图片是swimming的第一张，通过在MtcnnDetector.detect_face方法里加入异常处理可以解决。

[ss24cs]

Hi, @Zepyhrus，在MtcnnDetector.detect_face方法里加入异常处理具体在哪行进行条件语句的修改，新手求问望解答。谢谢

[Zepyhrus]

@ss24cs 异常处理跳过那几张异常图片就好了

try:
   # ... your code ... 
except:
  pass

[HaodeShi]

在MtcnnDetector.detect_face方法里加入异常处理具体在哪行进行条件语句的修改？？？？？能k看哈代码吗？