追溯（最近一次通话最后一次）：NameError：未定义名称“路径”

Question

我是Python的新手。我在做自动驾驶时传输数据，最后得到这样的错误：

Traceback (most recent call last):
  File "c:\Users\eminn\Desktop\Autopilot_V2\LoadData_V2.py", line 46, in <module>
    return_data()
  File "c:\Users\eminn\Desktop\Autopilot_V2\LoadData_V2.py", line 29, in return_data
    full_path = os.path.join(DATA_FOLDER, path)
NameError: name 'path' is not defined

控制台的小屏幕截图：

完整代码：

from __future__ import division
import cv2
import os
import numpy as np
import scipy
import pickle
import matplotlib.pyplot as plt
from itertools import islice

LIMIT = None

DATA_FOLDER = 'driving_dataset'
TRAIN_FILE = os.path.join(DATA_FOLDER, 'data.txt')

def preprocess(img):
    resized = cv2.resize((cv2.cvtColor(img, cv2.COLOR_RGB2HSV))[:, :, 1], (100, 100))
    return resized

def return_data():

    X = []
    y = []
    features = []

    with open(TRAIN_FILE) as fp:
        for line in islice(fp, LIMIT):
            for line in islice(fp, LIMIT):     print(f"Read Line: {line}") #==> new line of code     path, angle = line.strip().split()
            #path, angle = line.strip().split()
            full_path = os.path.join(DATA_FOLDER, path)
            X.append(full_path)
            # using angles from -pi to pi to avoid rescaling the atan in the network
            y.append(float(angle) * scipy.pi / 180)

    for i in range(len(X)):
        img = plt.imread(X[i])
        features.append(preprocess(img))

    features = np.array(features).astype('float32')
    labels = np.array(y).astype('float32')

    with open("features", "wb") as f:
        pickle.dump(features, f, protocol=4)
    with open("labels", "wb") as f:
        pickle.dump(labels, f, protocol=4)

return_data()

以前，它给出了来自 tensorflow 模块的错误。 我下载了tensorflow后，又在做，几内亚就报错了。 从现在开始谢谢你。

Answer 1

我是 Python 中这个主题的新手。 我在做自动驾驶时传输数据，最后出现这样的错误：

Traceback (most recent call last):
  File "c:\Users\eminn\Desktop\Autopilot_V2\LoadData_V2.py", line 46, in <module>
    return_data()
  File "c:\Users\eminn\Desktop\Autopilot_V2\LoadData_V2.py", line 29, in return_data
    full_path = os.path.join(DATA_FOLDER, path)
NameError: name 'path' is not defined

控制台的小屏幕截图：

完整代码：

from __future__ import division
import cv2
import os
import numpy as np
import scipy
import pickle
import matplotlib.pyplot as plt
from itertools import islice

LIMIT = None

DATA_FOLDER = 'driving_dataset'
TRAIN_FILE = os.path.join(DATA_FOLDER, 'data.txt')

def preprocess(img):
    resized = cv2.resize((cv2.cvtColor(img, cv2.COLOR_RGB2HSV))[:, :, 1], (100, 100))
    return resized

def return_data():

    X = []
    y = []
    features = []

    with open(TRAIN_FILE) as fp:
        for line in islice(fp, LIMIT):
            for line in islice(fp, LIMIT):     print(f"Read Line: {line}") #==> new line of code     path, angle = line.strip().split()
            #path, angle = line.strip().split()
            full_path = os.path.join(DATA_FOLDER, path)
            X.append(full_path)
            # using angles from -pi to pi to avoid rescaling the atan in the network
            y.append(float(angle) * scipy.pi / 180)

    for i in range(len(X)):
        img = plt.imread(X[i])
        features.append(preprocess(img))

    features = np.array(features).astype('float32')
    labels = np.array(y).astype('float32')

    with open("features", "wb") as f:
        pickle.dump(features, f, protocol=4)
    with open("labels", "wb") as f:
        pickle.dump(labels, f, protocol=4)

return_data()

以前，它从 tensorflow 模块给出错误。 在我下载了 tensorflow 之后，我又做了一次，但我在几内亚遇到了错误。 从现在开始谢谢你。

Answer 2

您已将path变量注释掉，您需要对其进行定义或取消注释