git clone https://github.com/shibing624/pysenti.git cd pysenti python3 setup.py install Usage 规则方法 example: examples/rule_classifier_demo.py import pysenti texts = ["苹果是一家伟大的公司", "土豆丝很好吃", "土豆丝很难吃"] for i in texts: r = pysenti.classify(i) print(i, r[...
To test the ORB and SVM classification, A python program which was initially used to classify plants are ported [36]. It was modified to use the new dataset and ran it on a laptop. An iteration of the test needs about four hours [15]. Because of the CNN-based method is computing int...
git clone https://github.com/tracyone/program_font&&cdprogram_font&&./install.sh 执行下面Python代码 importmatplotlibimportshutilimportospath=matplotlib.matplotlib_fname()path=path.replace('matplotlibrc','fonts/ttf/')print(path)shutil.copy('/usr/share/fonts/MyFonts/simhei.ttf',path)user_dir=os...
git clone https://github.com/tracyone/program_font && cd program_font && ./install.sh 执行下面Python代码 import matplotlib import shutil import os path = matplotlib.matplotlib_fname() path = path.replace('matplotlibrc', 'fonts/ttf/') print(path) shutil.copy('/usr/share/fonts/MyFonts/...
Implemented LM algorithm using Python. Full size image As the algorithm shown, the LM optimizer is an advancement of GD and Newton method which can be seen in the separately self-developed model known as model_wrapper. This implementation of the LM algorithm refers to the previous work of23....
(filename=folder_name, output=output) logger.info(f"output: {output}") print("It took a total of {}m{}s to complete the testing.".format(int(m), int(s))) return output if __name__ == '__main__': torch.multiprocessing.set_start_method('spawn') logger.info("Program started"...
The complete demo program, with a few minor edits to save space, is presented inFigure 3. I indent with two spaces rather than the usual four spaces to save space. Note that Python uses the “\” character for line continuation. I used Notepad to edit my program. Most of my colleagues...
Statistical analysis was performed using Python (Version 3.6.1).P-value < 0.05 was considered significant. All data analysis was performed using Python 3.6.1. Specifically, the packages or software comprised PyTorch 1.10.0 for model training and testing, CUDA 11.6 and cuDNN 8.1.0.77 for GP...
The implementation of the proposed preference-driven measure was prepared in Python language. The source code of this implementation is publicly available via GitHub: https://github.com/jankozak/preference-driven (accessed on 6 February 2022). Conflicts of Interest The authors declare no conflict of...
Tokenization: The model splits the code in a document into individual sentences. The model then tokenizes all sentences into a sequence of tokens by using the SpaceTokenizer of the NLTK module in Python. 3.2.3. Image Pre-Processing Image pre-processing is a process that standardizes the image...