PCC的值范围在[−1,1][−1,1]之间,当PCC趋近于1时,表示xx和yy之间存在强正相关;当PCC趋近于-1时,表示xx和yy之间存在强负相关;当PCC趋近于0时,表示xx和yy之间无相关性。 PCC损失函数在PyTorch中的实现 PyTorch中提供了torch.nn.functional.pcc_loss函数来计算PCC损失函数。该函数的使用方式如下: AI检测...
(Official Pytorch Implementation, the code is modified fromD-PCC) Introduction Point cloud compression (PCC) algorithms are typically designed to achieve the lowest possible distortion at a given low bit rate. However, the perceptual quality is often neglected. To tackle this, we innovatively regard...
Python 3.8, PyTorch 1.8.1, and CUDA 11.1. For this configuration, please launch the installation script install_torch-1.8.1+cu-11.2.sh with the following command:echo y | conda create -n pccai python=3.8 && conda activate pccai && ./install_torch-1.8.1+cu-11.2.sh...
Pytorch 1.x TensorboardX (pip) torchvision (pip) easydict (pip) pandas (pip) Data preparation Download the original ShanghaiTech Dataset [Link:Dropbox/BaiduNetdisk] Resize the images and the locations of key points. Generate the density maps by using thecode. ...