Sylvain Lejamble, PhD
Sylvain Lejamble, PhD
You can download the dataset on the website of the contest : https://biendata.com/competition/zhihu/ Here is the dropbox link, I don't know how long it will work : https://www.dropbox.com/s/3sk2yojptodkmb2/ieee_zhihu_cup.rar?dl=0
LR decay is all done in keras https://keras.io/api/optimizers/learning_rate_schedules/
Try de-normalize your image before plotting it !
Should be different, yes ! You can use any image dataset ! It is used to compute descriptiveness loss ! There is an error in this code "An external multi-class...
Are you using custom data ?
Exception caused by some images, i don't know why, i'm investigating. I fixed it by casting in loss function ```python def class_loss_regr_fixed_num(y_true, y_pred): num_classes_float = K.cast(num_classes, 'float32') indice_slice = K.cast(4...
try lowering the bbox_threshold and debug using the initial list of probabilities of predicted bbxs
`probs` is the list of predicted classes, you should see here some class and their probabilities. `if np.max(P_cls[0, ii, :]) < 0.7 or np.argmax(P_cls[0, ii, :]) == (P_cls.shape[2] - 1):...
Hi, I have a great interest on this feature also !