f4d6d3ccb846d555ba7dd3cb7488f5f4e9f1f3b9,datageneration.py,,warpExampleGenerator,#Any#Any#Any#Any#Any#Any#,33

Before Change

			X_src[i,:,:,:] = I0
			X_pose_src[i,:,:,:] = posemap0
			X_pose_tgt[i,:,:,:] = posemap1
			X_mask_src[i,:,:,:] = np.concatenate((np.expand_dims(src_bg_mask,2),src_limb_masks),axis=2)
			//X_mask_tgt[i,:,:,:] = np.concatenate((np.expand_dims(tgt_bg_mask,2),tgt_limb_masks),axis=2)

			X_trans[i,:,:,0] = np.array([[1.0,0.0,0.0],[0.0,1.0,0.0]])
			X_trans[i,:,:,1:] = getLimbTransforms(joints0,joints1)

After Change

			posemap1 = makeJointHeatmaps(img_height,img_width,joints1,sigma_joint,pose_dn)

			src_limb_masks = makeLimbMasks(joints0,img_width,img_height)	
			src_bg_mask = np.expand_dims(1.0 - np.amax(src_limb_masks,axis=2),2)
			src_masks = np.concatenate((src_bg_mask,src_limb_masks),axis=2)
			src_masks = np.log(src_masks + 1e-10)

			//tgt_limb_masks = makeLimbMasks(joints1,img_width,img_height)	
			//X_mask_tgt[i,:,:,:] = np.expand_dims(np.amax(tgt_limb_masks,axis=2),axis=2)

Instances