box[:, [0,2]] = box[:, [0,2]]*nw/iw + dx IndexError: too many indices for array

在使用Keras实现YOLOv3时遇到数据集错误,错误表现为在某些图片的2007_train.txt文件中缺少bbox数据。尝试手动添加bbox信息导致新的错误。解决办法是理解bbox数量应与训练数据集匹配,无需为没有bbox的图片添加额外信息,因为这会导致索引超出数组范围。
部署运行你感兴趣的模型镜像
generator_output = next(self._generator)
  File "train.py", line 175, in data_generator
    image, box = get_random_data(annotation_lines[i], input_shape, random=True)
  File "F:\yolo\keras-yolo3-voc\yolo3\utils.py", line 109, in get_random_data
    box[:, [0,2]] = box[:, [0,2]]*nw/iw + dx
IndexError: too many indices for array

关于Keras实现yolo v3的数据集错误

在文件夹的根目录中,运行voc_annotation.py文件会生成yolo格式对应的数据集格式,生成2007_train,2007_val,2007_trainval三个文件。
但是我在没有改变voc_annotation.py源代码的情况下生成了三个文件。但是打开其中的2007_train.txt文件会发现,有的图片后面并没有bbox数据,像这样
2007_train.txt文件
刚开始我以为是不是代码有些bug.我自己手动把bbox的信息手动添加上了!!!!像这样。
在这里插入图片描述

但这样不会增加训练集数据的图片数量,不会增加数据集数据的利用率!反而造成以下错误:

    generator_output = next(self._generator)
  File "train.py", line 175, in data_generator
    image, box = get_random_data(annotation_lines[i], input_shape, random=True)
  File "F:\yolo\keras-yolo3-voc\yolo3\utils.py", line 109, in get_random_data
    box[:, [0,2]] = box[:, [0,2]]*nw/iw + dx
IndexError: too many indices for array

解决办法

错误原因是你添加的bbox信息维度超过了array的索引,不用添加空的bbox信息,错误解决!

错误原因

这个我没有查到官方的解释,但是我个人认为,在所有的训练数据集中,bbox的数量应该是一定的。如果某一张图片的bbox数量过多,在整个训练数据集bbox数量一定的情况下,有些图片就没有分配bbox。所有就会存在数据集有些没有bbox信息。

仅个人观点,如有错误请指正!

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Traceback (most recent call last): File "Main.py", line 18, in if has_three_consecutive(s): File "Main.py", line 9, in has_three_consecutive if s[-2] == s[-1] == s[0]: IndexError: string index out of range /2343/str1.in: non-zero return = 1 Traceback (most recent call last): File "Main.py", line 18, in if has_three_consecutive(s): File "Main.py", line 9, in has_three_consecutive if s[-2] == s[-1] == s[0]: IndexError: string index out of range /2343/str10.in: non-zero return = 1 Traceback (most recent call last): File "Main.py", line 18, in if has_three_consecutive(s): File "Main.py", line 9, in has_three_consecutive if s[-2] == s[-1] == s[0]: IndexError: string index out of range /2343/str11.in: non-zero return = 1 Traceback (most recent call last): File "Main.py", line 18, in if has_three_consecutive(s): File "Main.py", line 9, in has_three_consecutive if s[-2] == s[-1] == s[0]: IndexError: string index out of range /2343/str12.in: non-zero return = 1 Traceback (most recent call last): File "Main.py", line 18, in if has_three_consecutive(s): File "Main.py", line 9, in has_three_consecutive if s[-2] == s[-1] == s[0]: IndexError: string index out of range /2343/str13.in: non-zero return = 1 Traceback (most recent call last): File "Main.py", line 18, in if has_three_consecutive(s): File "Main.py", line 9, in has_three_consecutive if s[-2] == s[-1] == s[0]: IndexError: string index out of range /2343/str14.in: non-zero return = 1 Traceback (most recent call last): File "Main.py", line 18, in if has_three_consecutive(s): File "Main.py", line 9, in has_three_consecutive if s[-2] == s[-1] == s[0]: IndexError: string index out of range /2343/str15.in: non-zero return = 1 Traceback (most recent call last): File "Main.py", line 18, in if has_three_consecutive(s): File "Main.py", line 9, in has_three_consecutive if s[-2] == s[-1] == s[0]: IndexError: string index out of range /2343/str16.in: non-zero return = 1 Traceback (most recent call last): File "Main.py", line 18, in if has_three_consecutive(s): File "Main.py", line 9, in has_three_consecutive if s[-2] == s[-1] == s[0]: IndexError: string index out of range /2343/str17.in: non-zero return = 1 Traceback (most recent call last): File "Main.py", line 18, in if has_three_consecutive(s): File "Main.py", line 9, in has_three_consecutive if s[-2] == s[-1] == s[0]: IndexError: string index out of range /2343/str18.in: non-zero return = 1 Traceback (most recent call last): File "Main.py", line 18, in if has_three_consecutive(s): File "Main.py", line 9, in has_three_consecutive if s[-2] == s[-1] == s[0]: IndexError: string index out of range /2343/str19.in: non-zero return = 1 Traceback (most recent call last): File "Main.py", line 18, in if has_three_consecutive(s): File "Main.py", line 9, in has_three_consecutive if s[-2] == s[-1] == s[0]: IndexError: string index out of range /2343/str2.in: non-zero return = 1 Traceback (most recent call last): File "Main.py", line 18, in if has_three_consecutive(s): File "Main.py", line 9, in has_three_consecutive if s[-2] == s[-1] == s[0]: IndexError: string index out of range /2343/str20.in: non-zero return = 1 Traceback (most recent call last): File "Main.py", line 18, in if has_three_consecutive(s): File "Main.py", line 9, in has_three_consecutive if s[-2] == s[-1] == s[0]: IndexError: string index out of range /2343/str21.in: non-zero return = 1 Traceback (most recent call last): File "Main.py", line 18, in if has_three_consecutive(s): File "Main.py", line 9, in has_three_consecutive if s[-2] == s[-1] == s[0]: IndexError: string index out of range /2343/str22.in: non-zero return = 1 Traceback (most recent call last): File "Main.py", line 18, in if has_three_consecutive(s): File "Main.py", line 9, in has_three_consecutive if s[-2] == s[-1] == s[0]: IndexError: string index out of range /2343/str23.in: non-zero return = 1 Traceback (most recent call last): File "Main.py", line 18, in if has_three_consecutive(s): File "Main.py", line 9, in has_three_consecutive if s[-2] == s[-1] == s[0]: IndexError: string index out of range /2343/str24.in: non-zero return = 1 Traceback (most recent call last): File "Main.py", line 18, in if has_three_consecutive(s): File "Main.py", line 9, in has_three_consecutive if s[-2] == s[-1] == s[0]: IndexError: string index out of range /2343/str25.in: non-zero return = 1 Traceback (most recent call last): File "Main.py", line 18, in if has_three_consecutive(s): File "Main.py", line 9, in has_three_consecutive if s[-2] == s[-1] == s[0]: IndexError: string index out of range /2343/str3.in: non-zero return = 1 Traceback (most recent call last): File "Main.py", line 18, in if has_three_consecutive(s): File "Main.py", line 9, in has_three_consecutive if s[-2] == s[-1] == s[0]: IndexError: string index out of range /2343/str4.in: non-zero return = 1 Traceback (most recent call last): File "Main.py", line 18, in if has_three_consecutive(s): File "Main.py", line 9, in has_three_consecutive if s[-2] == s[-1] == s[0]: IndexError: string index out of range /2343/str5.in: non-zero return = 1 Traceback (most recent call last): File "Main.py", line 18, in if has_three_consecutive(s): File "Main.py", line 9, in has_three_consecutive if s[-2] == s[-1] == s[0]: IndexError: string index out of range /2343/str6.in: non-zero return = 1 Traceback (most recent call last): File "Main.py", line 18, in if has_three_consecutive(s): File "Main.py", line 9, in has_three_consecutive if s[-2] == s[-1] == s[0]: IndexError: string index out of range /2343/str7.in: non-zero return = 1 Traceback (most recent call last): File "Main.py", line 18, in if has_three_consecutive(s): File "Main.py", line 9, in has_three_consecutive if s[-2] == s[-1] == s[0]: IndexError: string index out of range /2343/str8.in: non-zero return = 1 Traceback (most recent call last): File "Main.py", line 18, in if has_three_consecutive(s): File "Main.py", line 9, in has_three_consecutive if s[-2] == s[-1] == s[0]: IndexError: string index out of range /2343/str9.in: non-zero return = 1 ----time_space_table:---- /2343/str1.in:RE mem=15216k time=25ms /2343/str10.in:RE mem=15216k time=19ms /2343/str11.in:RE mem=15216k time=23ms /2343/str12.in:RE mem=15216k time=21ms /2343/str13.in:RE mem=15216k time=23ms /2343/str14.in:RE mem=15216k time=22ms /2343/str15.in:RE mem=15216k time=18ms /2343/str16.in:RE mem=15216k time=21ms /2343/str17.in:RE mem=15216k time=17ms /2343/str18.in:RE mem=15216k time=18ms /2343/str19.in:RE mem=15216k time=21ms /2343/str2.in:RE mem=15216k time=23ms /2343/str20.in:RE mem=15216k time=17ms /2343/str21.in:RE mem=15216k time=23ms /2343/str22.in:RE mem=15216k time=20ms /2343/str23.in:RE mem=15216k time=22ms /2343/str24.in:RE mem=15216k time=21ms /2343/str25.in:RE mem=15216k time=20ms /2343/str26.in:WA mem=15216k time=18ms /2343/str3.in:RE mem=15216k time=18ms /2343/str4.in:RE mem=15216k time=25ms /2343/str5.in:RE mem=15216k time=19ms /2343/str6.in:RE mem=15216k time=21ms /2343/str7.in:RE mem=15216k time=20ms /2343/str8.in:RE mem=15216k time=24ms /2343/str9.in:RE mem=15216k time=21ms
最新发布
07-07
<think>嗯,用户遇到了PythonIndexError,具体是“index2 isout ofbounds foraxis0 withsize2”。我需要帮他们解决这个问题。首先,我得理解这个错误的原因。IndexError通常是因为尝试访问一个不存在的索引位置。比如,数组长度是2,索引从0到1,用户却试图访问索引2,这就会超出范围。接下来,我应该考虑如何解释错误的原因。用户可能对数组的维度或索引机制不太清楚,可能需要用简单的例子来说明。例如,一个一维数组arr =[10,20],索引0是10,索引1是20,访问索引2就会报错。不过用户提到的错误信息里提到的是axis0,所以可能涉及多维数组,比如二维数组的轴0是行,轴1是列。比如一个2x3的数组,轴0的大小是2,索引只能是0和1,如果访问行索引2,就会报错。这时候需要检查数组的实际形状。然后,解决方案部分需要分步骤。首先,检查数组的形状,使用shape属性确定各轴的大小。其次,验证索引是否在有效范围内,比如使用条件判断。然后,可能涉及动态处理,比如在循环中处理可变长度的数组。此外,可能还需要处理空数组的情况,避免在空数组上访问索引。最后,可以推荐使用try-except块来捕获异常,增强代码的健壮性。 用户提供的引用中提到了使用array.shape来检查数组大小,还有使用条件判断和异常处理。这些都可以整合到解决方案中。比如,在访问数组之前,先检查数组的大小,确保索引不超过shape的值。对于多维数组,需要注意不同轴的大小,比如axis0对应行数,axis1对应列数。可能还需要举例说明不同维度的数组如何处理。比如,二维数组arr.shape返回的是(rows, columns),访问行的时候用axis0,列用axis1。如果用户试图访问arr[2,0],而数组只有两行,那么就会触发axis0的索引错误。这时候需要检查arr.shape[0]是否大于2。 另外,用户可能是在循环中动态生成数组,导致某些情况下数组长度不足。这时候需要在循环体内添加检查,或者在访问之前确保数组有足够的元素。比如,当从文件读取数据或处理可变长度的输入时,这种情况容易出现。 还可能涉及到numpy和pandas的不同处理方法,比如在numpy中,shape属性很常用,而在pandas的DataFrame中,可能需要使用.iloc或.loc来访问元素,同样需要注意索引范围。最后,总结常见原因和解决方案,帮助用户系统性地避免这类错误。同时,生成相关问题,帮助用户深入理解,比如如何动态调整索引,处理空数组,或者调试技巧。</think>### Python IndexError "index 2 is out of bounds for axis 0 with size 2" 解决方案 #### 错误原因分析 此错误表示尝试访问数组(如NumPy数组或列表)时,**索引值超出了数组的实际范围**。具体场景: - **轴0(axis 0)**对应数组的行方向,例如一个二维数组的形状为$(\text{行数}, \text{列数})$。 - 若数组的轴0大小为$2$(如`array.shape = (2, 3)`),则有效行索引为$0$和$1$,访问索引$2$会触发该错误[^3]。 #### 解决步骤 1. **检查数组形状** 使用`array.shape`确认数组维度: ```python import numpy as np arr = np.array([[1, 2], [3, 4]]) print(arr.shape) # 输出 (2, 2) ``` 若形状为$(2, 2)$,则轴0仅允许索引$0$和$1$。 2. **验证索引有效性** 在访问前添加条件判断: ```python index = 2 if index < arr.shape[0]: print(arr[index, :]) else: print(f"索引{index}超出轴0范围") ``` 3. **动态处理索引** 若索引是计算得出的(如循环变量),需确保其不超过数组边界: ```python for i in range(len(arr) + 1): # 假设可能越界 if i < arr.shape[0]: print(arr[i]) else: print(f"跳过无效索引{i}") ``` 4. **处理空数组** 若数组为空(如`arr.shape = (0, 0)`),需优先检查是否存在数据: ```python if arr.size == 0: print("数组为空,无法访问") ``` 5. **使用try-except捕获异常** 通过异常处理增强代码鲁棒性: ```python try: print(arr[2, 0]) except IndexError as e: print(f"错误:{e}") ``` #### 常见场景示例 - **二维数组越界** ```python arr = np.array([[1, 2], [3, 4]]) # shape=(2,2) print(arr[2, 0]) # 错误:索引2超出轴0范围(有效索引0-1) ``` - **动态生成数据时的越界** 从文件读取数据时,若某行数据缺失: ```python data = [] for line in open("data.txt"): data.append(line.split(',')) # 假设某行返回空列表 if len(data) > 2: print(data[2]) # 若文件不足3行则报错 ``` #### 总结 关键点:**始终在访问数组前检查形状和索引**,并通过条件判断或异常处理避免崩溃。 ---
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