east errors

[SpringRainLu]

i tried to run text detection.py based on my own east model, but it failed at
''outs = net.forward(outNames)''
cv2.error: OpenCV(4.1.1) .\opencv-python\opencv\modules\dnn\src\dnn.cpp:525: error: (-2:Unspecified error)
Can't create layer "resnet_v1_50/conv1/BatchNorm/FusedBatchNormV3" of type "FusedBatchNormV3" in function 'cv::dnn::dnn4_v20190621::LayerData::getLayerInstance'

i saved my model in this:

output_graph = "frozen_east_model_02.pb"
output_graph_def = tf.graph_util.convert_variables_to_constants(sess, sess.graph_def,
["feature_fusion/Conv_7/Sigmoid",
"feature_fusion/concat_3"])
tf.train.write_graph(output_graph_def, ".", output_graph, as_text=False)

i have tried to modify model.py ， nevertheless it did not work.

c1_1 = slim.conv2d(tf.concat([g[i-1], f[i]], axis=3), num_outputs[i], 1)
pi2 = 0.5 * np.pi
angle_map = (slim.conv2d(g[3], 1, 1, activation_fn=tf.nn.sigmoid, normalizer_fn=None) - 0.5) * pi2 # angle is between [-45, 45]
F_geometry = tf.concat([geo_map, angle_map], axis=3)

but the official east model.pb worked, what i did wrong?

[ZER-0-NE]

Interesting use. But I think it won't work (at least directly) with your custom model. The error clearly states Can't create layer "resnet_v1_50/conv1/BatchNorm/FusedBatchNormV3" of type "FusedBatchNormV3" in function 'cv::dnn::dnn4_v20190621::LayerData::getLayerInstance' .

This issue has been up for a long time and I'd like to know if you've resolved this? @SpringRainLu . If so, please consider adding some additional information for future developers.

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