Adversarial_Video_Generation
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dyelax
A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.
This is not really an issue, but might be helpful for you: While checking out your (awesome) code, I just discovered this TODO: `# TODO: Add SSIM error http://www.cns.nyu.edu/pub/eero/wang03-reprint.pdf` I...
The code was converted using automatic conversion provided by Tensorflow. Additionally, the most recent skimage was telling me its images needed to be between -1 and 1, the opposite of...
Traceback (most recent call last): File "avg_runner.py", line 185, in main() File "avg_runner.py", line 177, in main runner = AVGRunner(num_steps, load_path, num_test_rec) File "avg_runner.py", line 40, in __init__ c.SCALE_FC_LAYER_SIZES_D) File...
Thanks for your sharing, I run the coda36 with my own dataset, the size of my data is (210,160,1), and i have changed the channel 3 to 1, but some...
Hey all! There is a *glaring* bug with the data_proccess pipeline. Currently, for each clip, the video generator sorts the data by filename `ep_frame_paths = (glob(os.path.join(ep_dir, '*')))`. If your files...
Hi, I tried running avg_runner.py and I'm getting quite a few function deprecation errors. For example, the summary writer function here is getting an error: File "avg_runner.py", line 191, in...
Traceback (most recent call last): File "/home/guohaoyu/.conda/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1628, in _create_c_op c_op = c_api.TF_FinishOperation(op_desc) tensorflow.python.framework.errors_impl.InvalidArgumentError: Dimension 3 in both shapes must be equal, but are 12 and 3. Shapes are...
Traceback (most recent call last): File "avg_runner.py", line 185, in main() File "avg_runner.py", line 181, in main runner.train() File "avg_runner.py", line 68, in train batch = get_train_batch() File "/Users/shreyans/Desktop/Hamburg_Assignments/Neural networks/version...
I'm trying to use your code but I get a strange error with the avg_runner. it seems like it has some issue with the size of some images. this is...
As I can see here: https://github.com/dyelax/Adversarial_Video_Generation/blob/9b0d10f357871231bbec06c610363588812216e1/Code/g_model.py#L189 https://github.com/dyelax/Adversarial_Video_Generation/blob/9b0d10f357871231bbec06c610363588812216e1/Code/loss_functions.py#L7 there is no weighting on GDL loss, but as I understand absolute values of L2 loss and GDL loss will have large difference....
