importmatplotlib.pyplotasplt# 创建字典browser_data={'Chrome':{'ratio':45,'color':'blue'},'Firefox':{'ratio':20,'color':'green'},'Edge':{'ratio':15,'color':'orange'},'Safari':{'ratio':10,'color':'red'},'Others':{'
for i, community in enumerate(communities): color = colors[i % len(colors)] nx.draw_networkx_nodes(community, node_color=color) nx.draw_networkx_edges(G) plt.show() Les Miserables Co-Appearance Network import networkx as nx import matplotlib.pyplot as plt # 加载Les Miserables Co-Appearance ...
40 + import matplotlib.pyplot as plt 41 + 42 + plt.style.use('fivethirtyeight') 43 + 44 + train_data = pd.read_csv("./cn_data/train.tsv", sep="\t") 45 + valid_data = pd.read_csv("./cn_data/dev.tsv", sep="\t") 46 + 47 + sns.countplot(x="label", data=...
1importmatplotlib.pyplot as plt2importmatplotlib.image as mpimg3importcv2#bringing in OpenCV libraries45#read in the image and convert to grayscale6image = mpimg.imread('E:/spyder/a/a/exit-ramp.jpg')7gray = cv2.cvtColor(image, cv2.COLOR_RGB2GRAY)#grayscale conversion8#define a kernel size ...
pip install tf-nightly import tensorflow as tf import os import numpy as np import matplotlib.pyplot as plt # Load MNIST dataset mnist = tf.keras.datasets.mnist (train_images, train_labels), (test_images, test_labels) = mnist.load_data() # Normalize the input image so that each pixel ...
Python Pillow Edge Detection - Learn how to perform edge detection using Python Pillow. Discover techniques and code examples for efficient image processing.
As you would expect, by extracting the tags, we lose certain information like color, pose, relationships between objects in the scene, and so on. Additionally, a major disadvantage of this approach is that it requires enormous volumes of labeled data to train the classifier for extracting these...
importmatplotlib.pyplotasplt%matplotlib inline plt.rcParams.update({'figure.figsize':(9,9),'axes.spines.right':False,'axes.spines.left':False,'axes.spines.top':False,'axes.spines.bottom':False})importnetworkxasnximportpandasaspdimportnumpyasnp ...
# importing the moduleimportcv2# read the image and store the data in a variableimage=cv2.imread("/home/abhinav/PycharmProjects/untitled1/b.jpg")# make it grayscaleGray=cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)# Make canny Functioncanny=cv2.Canny(Gray,40,140)# the threshold is varies bw ...
from matplotlib import font_manager from ultralytics.yolo.utils import (AUTOINSTALL, LOGGER, ROOT, USER_CONFIG_DIR, TryExcept, colorstr, downloads, emojis, is_colab, is_docker, is_jupyter) is_colab, is_docker, is_jupyter, is_online) def is_ascii(s) -> bool: Expand Down Expand Up @...