mAP = nan

[vivva]

Hello !

I only used the first four categories for training and testing, taking four videos for each category. Due to the limitation of computer, I can't train the SSN model. So I directly use the reference model to extract the test score of the proposal. When I run

'python ssn_test.py thumos14 RGB None bninception_thumos14_imagenet_rgb_2.scores.npz --use_reference' I set num class to 20 to get the test score.

But when I run

python eval_detection_results.py thumos14 bninception_thumos14_imagenet_rgb_2.scores.npz it shows up:

If I set num class to 4 and run '`python eval_detection_results.py thumos14 bninception_thumos14_imagenet_rgb_2.scores.npz ' again, there will be a size mismatch error.

How can I solve it?

[vivva]

![Uploading 2021-04-24 15-49-09屏幕截图.png…]()

[vivva]

it shows up: Performing nms... NMS Done. Performing location regression... Regression Done. Calling mean AP calculator from toolkit with 32 workers... Evaluation done.

+Detection Performance on thumos14+------+------+------+------+------+------+---------+ | IoU thresh | 0.10 | 0.20 | 0.30 | 0.40 | 0.50 | 0.60 | 0.70 | 0.80 | 0.90 | Average | +------------+------+------+------+------+------+------+------+------+------+---------+ | mean AP | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | +------------+------+------+------+------+------+------+------+------+------+---------+