>>> np.asarray([1,2]) array([1, 2]) >>> np.ones(10) array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1.]) >>> np.ones((3, 6)) array([[1., 1., 1., 1., 1., 1.], [1., 1., 1., 1., 1., 1.], [1., 1., 1., 1., 1., 1.]]) >>> np...
np.ceil(): # 向上最接近的整数,参数是 number 或 array np.floor(): # 向下最接近的整数,参数是 number 或 array np.rint(): # 四舍五入,参数是 number 或 array np.isnan(): # 判断元素是否为 NaN(Not a Number),参数是 number 或 array,返回布尔矩阵 np.multiply(arr1, arr2): # 对应元素...
save_videoL = self.create_file(save_dir, "video", "left_video.avi") save_videoR = self.create_file(save_dir, "video", "right_video.avi") writerL = self.get_video_writer(save_videoL, int(width / 2), height, fps) writerR = self.get_video_writer(save_videoR, int(width / 2)...
/usr/bin/pythonimportos, sysimportos.path as ospfrommoviepyimporteditor#默认值save_dir ='/out'default_seconds= 10max_count= 999#分割函数defsplitFile(filename, dura, sdir):iffilename.isspace() == Trueordura < default_secondsorsdir.isspace ==True:print("Error: invalid parameters")returnifo...
frames = np.array(frames) # 定义帧率(每秒帧数,fps) fps = 10 # 创建一个视频写入器 fourcc = cv2.VideoWriter_fourcc(*'XVID') out = cv2.VideoWriter('generated_video.avi', fourcc, fps, (frames[0].shape[1], frames[0].shape[0])) ...
import numpy as np import matplotlib.pyplot as plt from scipy.interpolate import CubicSpline class Natural_cubic_spline: def __init__(self,x,y): self.x = np.array(x) #n个点的x值 self.y = np.array(y) #n个点的y值 self.h = self.x[1:] - self.x[:-1] #n-1个值 self.dy ...
# 简单的例子,展示如何使用open3d的create_camera_visualization函数来生成相机的可视化线段. # 这里我hardcode了一组随机的相机参数。 import open3d as o3d import numpy as np WIDTH = 1280 HEIGHT = 720 # an random camera intrinsic matrix intrinsics = np.array([ [1.16962109e+03, 0.00000000e+00, ...
(total_count)) np.save(path + 'train_data',ratings_matrix) np.save(path + 'test_data',np.array(test_data)) if __name__ == '__main__': parser = argparse.ArgumentParser() parser.add_argument('--path',help='input data path') parser.add_argument('--infile',help='input file ...
numpy.atleast_3d(*arys)[source] 将输入查看为至少具有三个维度的数组。 例子 1)一维数组转三维 importnumpyasnp arr1d = np.array([1,2,3]) arr3d = np.atleast_3d(arr1d)print("原数组:")print(arr1d)print("转换后的数组:")print(arr3d)print("转换后的形状:", arr3d.shape) ...
defget_car_boxes(boxes,class_ids):car_boxes=[]fori,boxinenumerate(boxes):# If the detected object isn t a car/truck,skip itifclass_ids[i]in[3,8,6]:car_boxes.append(box)returnnp.array(car_boxes)# Root directoryofthe projectROOT_DIR=Path(".")# Directory to save logs and trained...