python-3.x

问题 I would like to run my py_test with python 3 in Bazel. py_library( name = "foo", srcs = ["foo.py"] ) py_test( name = "foo_test", srcs = glob(["foo_test.py",]), deps = [":foo"] ) py_runtime( name = "python-3.6.3", files = [], interpreter_path = "/usr/local/bin/python3", ) I was able to achieve this using command bazel test --python_top=//path/to/foo:python-3.6.3 foo_test However, I would like to import python3 to bazel sandbox with new_http_archive and provide the interpreter_path for the py

问题 I want to apply k-fold cross validation on the following regression models: Linear Regression Polynomial Regression Support Vector Regression Decision Tree Regression Random Forest Regression I am able to apply k-fold cross validation on all except polynomial regression which gives me this error PolynomialFeatures' object has no attribute 'predict . How to work around this issue. Also am I doing the job correctly, actually my main motive is to see which model is performing better, so is there

问题 I want to apply k-fold cross validation on the following regression models: Linear Regression Polynomial Regression Support Vector Regression Decision Tree Regression Random Forest Regression I am able to apply k-fold cross validation on all except polynomial regression which gives me this error PolynomialFeatures' object has no attribute 'predict . How to work around this issue. Also am I doing the job correctly, actually my main motive is to see which model is performing better, so is there

问题 I learn in this link. This is the original picture： My test code: import cv2 import numpy as np img = cv2.imread( 'E:/image/sudoku.png' ) gray = cv2.cvtColor( img,cv2.COLOR_BGR2GRAY ) edges = cv2.Canny( gray,50,150,apertureSize = 3 ) minLineLength = 100 maxLineGap = 10 lines = cv2.HoughLinesP( edges,1,np.pi/180,100,minLineLength,maxLineGap ) for line in lines: for x1,y1,x2,y2 in line: cv2.line( img,( x1,y1 ),( x2,y2 ),( 0,255,0 ),2 ) cv2.imwrite( 'E:/image/myhoughlinesp.jpg',img ) cv2.imshow(

问题 I learn in this link. This is the original picture： My test code: import cv2 import numpy as np img = cv2.imread( 'E:/image/sudoku.png' ) gray = cv2.cvtColor( img,cv2.COLOR_BGR2GRAY ) edges = cv2.Canny( gray,50,150,apertureSize = 3 ) minLineLength = 100 maxLineGap = 10 lines = cv2.HoughLinesP( edges,1,np.pi/180,100,minLineLength,maxLineGap ) for line in lines: for x1,y1,x2,y2 in line: cv2.line( img,( x1,y1 ),( x2,y2 ),( 0,255,0 ),2 ) cv2.imwrite( 'E:/image/myhoughlinesp.jpg',img ) cv2.imshow(

问题 I learn in this link. This is the original picture： My test code: import cv2 import numpy as np img = cv2.imread( 'E:/image/sudoku.png' ) gray = cv2.cvtColor( img,cv2.COLOR_BGR2GRAY ) edges = cv2.Canny( gray,50,150,apertureSize = 3 ) minLineLength = 100 maxLineGap = 10 lines = cv2.HoughLinesP( edges,1,np.pi/180,100,minLineLength,maxLineGap ) for line in lines: for x1,y1,x2,y2 in line: cv2.line( img,( x1,y1 ),( x2,y2 ),( 0,255,0 ),2 ) cv2.imwrite( 'E:/image/myhoughlinesp.jpg',img ) cv2.imshow(

问题 I learn in this link. This is the original picture： My test code: import cv2 import numpy as np img = cv2.imread( 'E:/image/sudoku.png' ) gray = cv2.cvtColor( img,cv2.COLOR_BGR2GRAY ) edges = cv2.Canny( gray,50,150,apertureSize = 3 ) minLineLength = 100 maxLineGap = 10 lines = cv2.HoughLinesP( edges,1,np.pi/180,100,minLineLength,maxLineGap ) for line in lines: for x1,y1,x2,y2 in line: cv2.line( img,( x1,y1 ),( x2,y2 ),( 0,255,0 ),2 ) cv2.imwrite( 'E:/image/myhoughlinesp.jpg',img ) cv2.imshow(

问题 I am working on a personal project where I detect rectangles (all the same dimensions) and then place those rectangles inside a list in the same order (top-bottom) and then process the information inside each rectangle using some function. Below is my test image. I have managed to detect the rectangle of interest, however I keep getting other rectangles that I don't want. As you can see I only want the three rectangles with the information (6,9,3) into a list. My code import cv2 width=700

问题 I am plotting multiple heatmaps together and don't want them to crowed the space with their axes' labels. I tried to use plt.tight_layout() and it is throw some errors at me. This is my result without plt.tight_layout(): heatmaps without plt.tight_layout() How can I plot these heatmaps together without them overlapping/overcrowding? What do these plt.tight_layout() errors mean? This is the error I get: Traceback (most recent call last): File "C:/Users/mbsta/Desktop/OOL_Research/heatmaptrying

问题 I am plotting multiple heatmaps together and don't want them to crowed the space with their axes' labels. I tried to use plt.tight_layout() and it is throw some errors at me. This is my result without plt.tight_layout(): heatmaps without plt.tight_layout() How can I plot these heatmaps together without them overlapping/overcrowding? What do these plt.tight_layout() errors mean? This is the error I get: Traceback (most recent call last): File "C:/Users/mbsta/Desktop/OOL_Research/heatmaptrying