Open ma7555 opened 3 years ago
I am receiving this error:
OP_REQUIRES failed at conv_ops_fused_impl.h:716 : Invalid argument: input must be 4-dimensional[1,196,24,24,3]
problem is rnet receives dimensions [1, 196, 24, 24, 3]
I can see that predict_24_batch actually has the correct dimensions of 196, 24, 24, 3 -- Not sure where did that extra axis came from..
predict_24_batch = tf.image.crop_and_resize(inputs, boxes, tf.zeros((rectangles.shape[0],), dtype = tf.int32),(24,24));
mind giving any input?
Tried on both TF2.0 and TF2.3
Did you find a solution for this error?
I am receiving this error:
OP_REQUIRES failed at conv_ops_fused_impl.h:716 : Invalid argument: input must be 4-dimensional[1,196,24,24,3]
problem is rnet receives dimensions [1, 196, 24, 24, 3]
I can see that predict_24_batch actually has the correct dimensions of 196, 24, 24, 3 -- Not sure where did that extra axis came from..
predict_24_batch = tf.image.crop_and_resize(inputs, boxes, tf.zeros((rectangles.shape[0],), dtype = tf.int32),(24,24));
mind giving any input?
Tried on both TF2.0 and TF2.3