sys.exit(load_entry_point('nnunet', 'console_scripts', 'nnUNet_predict')()) File "/home/zm/nnUNetFrame/nnUNet/nnunet/inference/predict_simple.py", line 221, in main step_size=step_size, checkpoint_name=args.chk) File "/home/zm/nnUNetFrame/nnUNet/nnunet/inference/predict.py", line...
However, current super-resolution algorithms only work on a single scale, and multiple networks need to be trained when super-resolution images of different scales are needed. This definitely raises the cost of acquiring high-resolution medical images. Thus, we propose a multi-scale super-...
"" return self.act(self.bn(self.conv(x) + self.cv2(x))) def forward_fuse(self, x): """Apply fused convolution, batch normalization and activation to input tensor.""" return self.act(self.bn(self.conv(x))) def fuse_convs(self): """Fuse parallel convolutions.""" w = torch.ze...
PHYSICAL AND FUNDAMENTALSMitigation of Optical Multipath Interference Algorithms inIM-DD Transmission SystemHuo Jiahao1,*, Zhu Jin1, Zhu Zuqing2, Zhang Xiaoying1, Liu Shaonan1, Tao Jianlong1, Wei Huangfu11 School of Computer and Communication Engineering, University of Science and Technology Beijing,...
We present an explicit formula for B-spline convolution kernels; these are defined as the convolution of several B-splines of variable widths and degrees . We apply our results to derive spline-convolution-based algorithms for two closely related problems: the computation of the Radon transform and...
Although, the reference image is not available for NR-IQA algorithms, they can make assumptions about the distortions present in a given input image. Hence, they can be divided into distortion-specific and general-purpose groups. As the name indicates, distortion-specific methods assume the ...
Methods of image quality assessment are widely used for ranking computer vision algorithms or controlling the perceptual quality of video and streaming applications. The ever-increasing number of digital images has encouraged the research in this field at an accelerated pace in recent decades. After th...
interp(x=x, xp=x[is_valid], fp=prices[is_valid]) >>> prices += np.random.randn(len(prices)) * 2 Here’s what this looks like with matplotlib. The adage is to buy low (green) and sell high (red): Python >>> import matplotlib.pyplot as plt # Warning! This isn't a ...