a2f7797175eaf8cc1528bcf315e823d6fd4d8a18,networks.py,,discriminator,#Any#,38

Before Change

	n_joints = param["n_joints"]

	x_src = Input(shape=(IMG_HEIGHT,IMG_WIDTH,3))
	x_tgt = Input(shape=(IMG_HEIGHT,IMG_WIDTH,3))
	x_pose = Input(shape=(IMG_HEIGHT, IMG_WIDTH, 2*n_joints))

	x = concatenate([x_src,x_tgt,x_pose])
	x = myConv(x,128,strides=2) /ኜx64x128

After Change

	IMG_HEIGHT = param["IMG_HEIGHT"]
	IMG_WIDTH = param["IMG_WIDTH"]
	n_joints = param["n_joints"]
	pose_dn = param["posemap_downsample"]

	x_src = Input(shape=(IMG_HEIGHT,IMG_WIDTH,3))
	//x_tgt = Input(shape=(IMG_HEIGHT,IMG_WIDTH,3))
	x_pose = Input(shape=(IMG_HEIGHT/pose_dn, IMG_WIDTH/pose_dn, n_joints))

Instances