simulated-unsupervised-tensorflow
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carpedm20
TensorFlow implementation of "Learning from Simulated and Unsupervised Images through Adversarial Training"
I used 640×480 UnityEyes image data, and check the size of output data is 55×35. Next, I want to correct the value of coordinate in .json files. I read gaze_data.py,...
hello, can I refine the UnityEyes eye image with real infrared image and keep the labels???
Is there anyone providing a fully trained model? Thank you in advance. My email is [email protected].
The refined image looks as same as the synthetic image while the result in the paper looks more different.It there need more steps to train?
What is the memory footprint for the training? What size vram is required as is?
In layers.py ```python def conv2d(inputs, num_outputs, kernel_size, stride, layer_dict={}, activation_fn=None, #weights_initializer=tf.random_normal_initializer(0, 0.001), weights_initializer=tf.contrib.layers.xavier_initializer(), scope=None, name="", **kargv): outputs = slim.conv2d( inputs, num_outputs, kernel_size, stride, activation_fn=activation_fn, weights_initializer=weights_initializer, biases_initializer=tf.zeros_initializer(dtype=tf.float32), scope=scope, **kargv) if name:...
I'd like to run the refined photos through a CGI vs. photo CNN and see the results. Does anyone have an already generated set of refined photos by any chance...
 can u help me solving the problem in the photo?
Hello, when I prepared dastaset and tried to run ur code , this problem happened, I don't know what's wrong, could u please help me out, thank u! **[*] MODEL...
The denormalize function in layers.py is defined as (layer + 1.)/2. If the aim is to revert the earlier normalization, shouldn't we have (layer + 1.)*127.5? Asking because I'm facing...
