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@[Xiao-Ann](https://github.com/Xiao-Ann) 你好请问你解决了嘛，我也遇到类似的问题了 undefined symbol: _ZN2cv9rectangleERKNS

I have the same problem, do you solved it?

> Which model config you used? > You could set the "MaxIoUAssignerCy". > For example, > > https://github.com/dingjiansw101/AerialDetection/blob/a717a85953eab240435cbcbb39396481cd831068/configs/DOTA/faster_rcnn_obb_r50_fpn_1x_dota.py#L53 > > https://github.com/dingjiansw101/AerialDetection/blob/a717a85953eab240435cbcbb39396481cd831068/configs/DOTA/faster_rcnn_obb_r50_fpn_1x_dota.py#L76 But compute IoU very slowly by Cython.

@tinazliu @shamangary @lily0101 I have some problem when I use centerloss in image classification with keras. 1、in **custom_vgg_model.fit(y = {'fc2':y_train,'predictions':y_train})**,'fc2':y_train have error that ``` ValueError: Error when checking target: expected...

I have the same problem. Have you solved it?

The reason may be the clipping length and width parameters. python test.py --exper_name='log8_7' --gpu_id='0' --crop_h=40 --crop_w=60 --test_sample_dir='test_sample_dir' --checkpoints='checkpoints'

When the paper is accepted, nothing else matters.

@JinmingZhao @UpCoder 大佬好，我这样做和仅使用softmax没有性能的提升，（lambda，我尝试过1，0.1，0.01）不知为何: ` def center_loss(labels,features, alpha,lambda_c,lambda_g,num_classes): len_features = features.get_shape()[1] with tf.variable_scope('v_center',reuse = True): centers = tf.get_variable('centers', [num_classes, len_features], dtype=tf.float32, initializer=tf.constant_initializer(0), trainable=False) labels = tf.argmax(labels, axis=1) centers_batch = tf.gather(centers, labels)...