for file_path in file_paths: data = np.load(file_path) for key in data.files: if key in merged_data: merged_data[key] = np.concatenate((merged_data[key], data[key])) else: merged_data[key] = data[key] 将合并后的数组保存为一个新的npz文件: ...
dict_filetree = {} for eachFilePath in filepaths: # 获得文件夹的名字 即类型 filename = os.path.basename(eachFilePath) # dict_filetree用来记录每个文件夹下有那些文件,并对每个文件做一个标签,由文件夹名与文件名组成。 dict_filetree[filename] = [] # 获取文件夹下文件的列表 pngPaths = getObjec...
left_lane_inds = np.concatenate(left_lane_inds) right_lane_inds = np.concatenate(right_lane_inds) # 获取检测出的左右车道点在图像中的位置 leftx = nonzerox[left_lane_inds] lefty = nonzeroy[left_lane_inds] rightx = nonzerox[right_lane_inds] righty = nonzeroy[right_lane_inds] # 3....
Now you can proceed to concatenate the three PDF files into a single file. To do that, you’ll use PdfMerger.append(). This method takes the path to a PDF file. When you call .append(), you append all of the pages in the PDF file to the set of pages in the PdfMerger object....
MoviePy usesFFmpegsoftware under the hood and will install it once you execute the MoviePy code the first time. Open up a new Python file and write the following code: defconcatenate(video_clip_paths,output_path,method="compose"):"""Concatenates several video files into one video file ...
原文:zh.annas-archive.org/md5/123a7612a4e578f6816d36f968cfec22 译者:飞龙 协议:CC BY-NC-SA 4.0 第五章:处理随机性和概率 在本章中,我们将讨论随机性和概率。我们将首先通过从数据集中选择元素来简要探讨概率的基本原理。然后,我们
When given more than one file in its command line arguments, cat will concatenate the text files and display the result in the terminal: Python # File: fileinput-example.py import fileinput import sys files = fileinput.input() for line in files: if fileinput.isfirstline(): print(f'\...
) ) image_arrays_vertical_concated = np.concatenate(image_array, axis=0) return image_arrays_vertical_concated def horizontally_combine_image_array(image_arrays: Sequence) -> Image.Image: """将上一步获得的纵向拼接的图片进一步横向拼接""" return Image.fromarray(np.concatenate(image_arrays, axis...
然后,我们将学习如何使用 Python 和 NumPy 生成(伪)随机数,以及如何根据特定概率分布生成样本。最后,我们将通过研究涵盖随机过程和贝叶斯技术的一些高级主题,并使用马尔可夫链蒙特卡洛方法来估计简单模型的参数来结束本章。 概率是特定事件发生的可能性的量化。我们在日常生活中直观地使用概率,尽管有时正式理论可能相当反...
deftrain_demo_tokenizer(corpus_files:List[str],vocab_size:int,save_path:str,special_tokens:List[str]):"""Trains a Byte-Pair Encoding (BPE) tokenizer using Hugging Face Tokenizers.Args:corpus_files (List[str]): List of file paths containing training corpus.vocab_size (int): Desired vocabula...