Arka Saha
Arka Saha
I am working on an image colorization problem. I made the dataset by downloading black and white/colored movies from youtube and extracting frames from them. But I am not getting...
Under U-Net and SegNet sections.
13k images of overlapping chromosomes. Useful for a semantic segmentation based project.
I have written the code for a similar problem involving RGB images on a broader dataset but the results are not that good. The repo link is given below: https://github.com/ArkaJU/Sketch-Retrieval---Siamese...
self.fake_A_sample = tf.placeholder(tf.float32, [None, self.image_size, self.image_size, self.input_c_dim], name='fake_A_sample') self.fake_B_sample = tf.placeholder(tf.float32, [None, self.image_size, self.image_size, self.output_c_dim], name='fake_B_sample') Why exactly is this needed?