Re-implement CycleGAN in Tensorlayer

Overview

CycleGAN_Tensorlayer

Re-implement CycleGAN in TensorLayer

  • Original CycleGAN
  • Improved CycleGAN with resize-convolution

Prerequisites:

  • TensorLayer
  • TensorFlow
  • Python

Run:

CUDA_VISIBLE_DEVICES=0 python main.py 

(if datasets are collected by yourself, you can use dataset_clean.py or dataset_crop.py to pre-process images)

Theory:

The generator process:

Image text

The discriminator process:

Image text

Result Improvement

  • Data augmentation
  • Resize convolution[4]
  • Instance normalization[5]

data augmentation:

Image text

Instance normalization(comparision by original paper https://arxiv.org/abs/1607.08022):

Image text

Resize convolution (Remove Checkerboard Artifacts):

Image text

Image text

Final Results:

Image text

Image text

Reference:

Comments
  • Difference from original code

    Difference from original code

    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.
    opened by taki0112 7
  • Color inversion, black image and nan in loss after ~20 epochs

    Color inversion, black image and nan in loss after ~20 epochs

    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)?

    opened by victor-felicitas 0
  • How to change test output size?

    How to change test output size?

    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!

    opened by victor-felicitas 0
  • About the imagepool.

    About the imagepool.

    opened by Zardinality 0
  • Error in main.py?

    Error in main.py?

    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.

    opened by yongqiangzhang1 2
  • Where are datasets shown in readme?

    Where are datasets shown in readme?

    opened by Zardinality 7
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