Syntax or index out of range errors when moving SVM code

I'm having trouble reading Python's introduction to machine learning.
P119 6.2.2 Learning
When I ran trial_handsign_SVM.py, I received the following error message:
Run the script as follows:

>>run trial_handsign_SVM.py./data/my_learn8/./data/my_test2/

SyntaxError: invalid syntax is displayed for a command prompt.Incidentally, when python Spyder ran the code exactly as it was, the error was Index Error: list index out of range.What should I do with the code to solve this problem?Also, is there any difference between the two errors?Thank you very much for your impudence.

The code is as follows:

#-*-coding:utf-8-*- 
importos
import sys
import glob
import numpy as np
from image importio
from sklearn import datasets

IMAGE_SIZE=40
COLOR_BYTE=3
CATEGORY_NUM = 6

## Load image files classified into directory labeled (0~)
## The input path is the top directory of the label name.
defload_handimage(path):

    # Get list of files
    files=glob.glob(os.path.join(path, '*/*.png')))

    # Gain image and label space
    images=np.ndarray(len(files), IMAGE_SIZE, IMAGE_SIZE,
                            COLOR_BYTE), dtype=np.uint8)
    labels=np.ndarray(len(files), dtype=np.int)

    # Load Images and Labels
    for idx, file in enumerate (files):
       # image loading
       image=io.imread(file)
       images [idx] = image

       # Obtain label from directory name
       label=os.path.split(os.path.dirname(file))[-1]
       labels [idx] = int(label)

    # Match the format of other data sets in scikit-learn
    flat_data=images.reshape(-1,IMAGE_SIZE*IMAGE_SIZE*COLOR_BYTE))
    images=flat_data.view()
    return data.base.Bunch(data=flat_data,
                 target=labels.astype(np.int),
                 target_names=np.range(CATEGORY_NUM),
                 images=images,
                 DESCR=None)

from sklearn import svm, metrics

## Specify a directory of learning data and a directory of test data
if__name__=='__main__':
    argvs=sys.argv
    train_path=argvs[1]
    test_path=argvs[2]

    # Reading Learning Data
    train=load_handimage(train_path)

    # methodology:linear SVM
    classifier = svm.LinearSVC()

    # learning
    classifier.fit (train.data, train.target)

    # Loading Test Data
    test=load_handimage(test_path)

    # test
    predicted=classifier.predict(test.data)

    # result display
    print("Accuracy:\n%s"%metrics.accuracy_score(test.target,predicted))

python python3

2022-09-30 21:27

1 Answers

I thought the code was wrong
I downloaded it from here and tried to run it in my environment, but I was able to confirm that it worked fine.
http://www.ohmsha.co.jp/data/link/978-4-274-21963-4/

$pythontrial_handsign_SVM.py./data/my_learn8/./data/my_test2/
Accuracy:
0.916666666667

Also, is there any difference between the two errors?

Two errors in the questioner's question

Index Error:list index out of range

This error occurs when an element in the list that does not exist is accessed.

SyntaxError: invalid syntax

Python grammar error.

What should I do with the code to resolve it?

As I mentioned above, there is no problem with the code.

If you could tell me in more detail about the error that occurred when executing the code, I think I can help you solve the problem.
For example, I would appreciate it if you could paste the contents of the error as shown below.

$pythontrial_handsign_SVM.py./data/my_learn8/
Traceback (most recent call last):
File "trial_handsign_SVM.py", line 51, in <module>
test_path=argvs[2]
IndexError:list index out of range

2022-09-30 21:27

If you have any answers or tips

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