There are sunflower2daisy and leopard2tiger results shown in readme, but I don't find any clue about where to download them in code. In https://github.com/luoxier/CycleGAN_Tensorlayer/blob/master/main.py#L32 an optional value for dataset_dir is sunflower2daisy, where can I get it? The author of original paper doesn't seem to provide it.

Hi!
It is a great implementation of Cyclegan, providing excellent results on Hiptensorflow and ROCm.
However, I could not use it to generate test images of different from 256x256 sizes.
How can I change that?

For now, I have trained the model on 256x256 images and try to test it on bigger ones.
I tried adding two more flags to main.py:
flags.DEFINE_integer("image_width", 420, "The size of image to use (will be center cropped) [256]")
flags.DEFINE_integer("image_height", 420, "The size of image to use (will be center cropped) [256]")

Which I use later in Test section:
test_A = tf.placeholder(tf.float32, [FLAGS.batch_size, FLAGS.image_height, FLAGS.image_width, FLAGS.c_dim],
name='test_x')
test_B = tf.placeholder(tf.float32, [FLAGS.batch_size, FLAGS.image_height, FLAGS.image_width, FLAGS.c_dim],
name='test_y')

However, I always get error:
Invalid argument: Conv2DSlowBackpropInput: Size of out_backprop doesn't match computed: actual = 105, computed = 64
Traceback (most recent call last):
File "main.py", line 285, in
tf.app.run()
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/platform/app.py", line 44, in run
_sys.exit(main(_sys.argv[:1] + flags_passthrough))
File "main.py", line 281, in main
test_cyclegan()
File "main.py", line 262, in test_cyclegan
fake_img = sess.run(net_g_logits, feed_dict={in_var: sample_image})
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 767, in run
run_metadata_ptr)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 965, in _run
feed_dict_string, options, run_metadata)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 1015, in _do_run
target_list, options, run_metadata)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 1035, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Conv2DSlowBackpropInput: Size of out_backprop doesn't match computed: actual = 105, computed = 64
[[Node: gen_A2B/u64/conv2d_transpose = Conv2DBackpropInput[T=DT_FLOAT, data_format="NHWC", padding="SAME", strides=[1, 2, 2, 1], use_cudnn_on_gpu=true, _device="/job:localhost/replica:0/task:0/gpu:0"](gen_A2B/u64/conv2d_transpose/output_shape, gen_A2B/u64/W_deconv2d/read, gen_A2B/b_residual_add/8)]]

Is there any way to choose output image size?
Original Cyclegan has special option to choose it - how can i implement it?
resize_or_crop = 'resize_and_crop', -- resizing/cropping strategy: resize_and_crop | crop | scale_width | scale_height

Any help would be appreciated!

Hi @zsdonghao @luoxier ,
Is there an error in your main.py:
_, errGB2A = sess.run([g_b2a_optim, g_b2a_loss], feed_dict={real_A: batch_imgB, real_B: batch_imgB})
Does it should be:
_, errGB2A = sess.run([g_b2a_optim, g_b2a_loss], feed_dict={real_A: batch_imgA, real_B: batch_imgB})
Could you please check it and let me know, thanks.

i run the code，and find the results is very pool

I noticed in https://github.com/luoxier/CycleGAN_Tensorlayer/blob/master/main.py#L88 you obtain the logit of image sampled from imagepool but do not use it, is that for some reason or just do not intend to implement it?

I've tried to train the model on original summer2winter_yosemite dataset.
After ~20 epochs all sample images turned completely black, and all all loss parameters turned to nan.
However, the model continued to run for 30 more epochs regularly saving checkpoints until I stopped it.

I've also used another, my own dataset, and it ran correctly for 70 epochs at least, unfortunately the only result I had was color inversion of images.
Any advice on changing training parameters (I used default)?

HI
very nice implemented cyclegan
I have a few questions...

1. What does "Resize Convolution" mean?
2. I wonder what is different from the original code of the author.