error while test

[1518136851]

$ python test.py --weights_path weights/yolov3.weights
Detecting objects: 0it [00:01, ?it/s]
Namespace(batch_size=8, class_path='data/coco.names', conf_thres=0.001, data_config='config/coco.data', img_size=416, iou_thres=0.5, model_def='config/yolov3.cfg', n_cpu=8, nms_thres=0.5, weights_path='weights/yolov3.weights')
Compute mAP...
Traceback (most recent call last):
File "test.py", line 98, in
batch_size=8,
File "test.py", line 53, in evaluate
true_positives, pred_scores, pred_labels = [np.concatenate(x, 0) for x in list(zip(*sample_metrics))]
ValueError: not enough values to unpack (expected 3, got 0)

[JeasonUESTC]

Hi, I miss to the same problem and have you solve this problem?

[ramondoo]

if len(sample_metrics) > 0:
    true_positives, pred_scores, pred_labels = [np.concatenate(x, 0) for x in list(zip(*sample_metrics))]
    precision, recall, AP, f1, ap_class = ap_per_class(true_positives, pred_scores, pred_labels, labels)
    assert len(ap_class) == len(AP)
else:
    ap_class = np.unique(labels).astype("int32")
    precision = np.zeros(len(ap_class), dtype=np.float)
    recall = precision
    AP = precision
    f1 = 2 * precision * recall / (precision + recall + 1e-16)

[summeryumyee]

Thank you ~~~

[Flova]

This part of the code has been updated or removed. I, therefore, close this issue now. Feel free to reopen for further discussion.