#Find the range of a NumPy array's elements by usingnumpy.max()andnumpy.min() You can also use thenumpy.max()andnumpy.min()methods to find the range of a NumPy array's elements. main.py importnumpyasnp arr=np.array([[5,1,10],[3,2,6],[8,2,3],[5,10,1]])defget_range(...
openfoam_invar_numpy,output_names=["nu"],metrics={"mean_nu":lambdavar:torch.mean(var["nu"])},nodes=nodes,)domain.add_monitor(monitor)monitor=PointwiseMonitor(openfoam_invar_numpy,output_names=["D"],metrics={"mean_D":lambdavar:torch.mean(var["D"])},nodes=nodes,)domain.add_monitor(mo...
mean(lines, axis=0, dtype=np.int32) line = tuple(map(tuple, line)) # make sure it's tuples not numpy array for cv2.line to work return line left_line = mean_line(left_line, self.left_lines) right_line = mean_line(right_line, self.right_lines) return draw_lane_lines(image, ...
line = np.mean(lines, axis=0, dtype=np.int32) line = tuple(map(tuple, line))# make sure it's tuples not numpy array for cv2.line to workreturnline left_line = mean_line(left_line, self.left_lines) right_line = mean_line(right_line, self.right_lines)returndraw_lane_lines(image...
Note that, in what follows, all TensorFlow operations have a name argument that can safely be left to the default of None when using eager execution as its purpose is to identify the operation in a computational graph.Note that this is equivalent to np.mean, except that it infers the ...
import numpy as np import pandas as pd outliers=[] def detect_outlier(data_1): threshold=3 mean_1 = np.mean(data_1) std_1 =np.std(data_1) for y in data_1: z_score= (y - mean_1)/std_1 if np.abs(z_score) > threshold: ...
import numpy def pca(data, algorithm='eig'): """pca(data) -> mean, pcs, norm_pcs, variances, positions, norm_positions Perform Principal Components Analysis on a set of n data points in k dimensions. The data array must be of shape (n, k). ...
mean 38.547941 10.118460 1101.430344 88.595418 40.938017 std 13.217870 2.552881 7506.430084 404.956092 12.007508 min 17.000000 1.000000 0.000000 0.000000 1.000000 25% 28.000000 9.000000 0.000000 0.000000 40.000000 50% 37.000000 10.000000 0.000000 0.000000 40.000000 75% 47.000000 13.000000 0.000000 0.000000 45.000000 ma...
I don’t know what you mean by “more robust”. If I understand the method he is using correctly, then it minimizes the RMS error between corresponding points from either point cloud. It can accept any pair of ordered point clouds (of the same size), regardless how similar they are to...
git config --global user.name userName git config --global user.email userEmail 分支1 标签0 Naoki Shibuya[doc] added link to medium articlea4f2cdb8年前 8 次提交 images removed svg and use png instead 8年前 output_videos re-run the notebook ...