解释 img = self.imgs[index] if img is None: # not cached path = self.img_files[index] img = cv2.imread(path) # BGR
时间: 2024-04-28 14:23:32 浏览: 15
这段代码是从指定路径读取图片并返回该图片的 BGR 数值矩阵。
首先,代码通过 `self.imgs[index]` 获取缓存中第 `index` 张图片的数值矩阵,如果该数值矩阵不存在(即该图片没有被缓存),则需要从指定路径读取该图片。
接着,代码通过 `self.img_files[index]` 获取第 `index` 张图片的路径,然后使用 OpenCV 库中的 `cv2.imread()` 方法读取该路径对应的图片,并将读取到的图片数据存储在 `img` 变量中。需要注意的是,OpenCV 读取的图片数据格式是 BGR,而不是常见的 RGB,因此该变量中存储的是 BGR 数值矩阵。
最后,代码将读取到的图片数值矩阵作为函数的返回值,并将该矩阵存储到缓存中,以备下次调用时直接使用。
相关问题
上述问题,在文件里函数如下,请指出在哪里修改路径load_image(self, index): # loads 1 image from dataset, returns img, original hw, resized hw img = self.imgs[index] if img is None: # not cached path = self.img_files[index] img = cv2.imread(path) # BGR assert img is not None, 'Image Not Found ' + path h0, w0 = img.shape[:2] # orig hw r = self.img_size / max(h0, w0) # resize image to img_size if r != 1: # always resize down, only resize up if training with augmentation interp = cv2.INTER_AREA if r < 1 and not self.augment else cv2.INTER_LINEAR img = cv2.resize(img, (int(w0 * r), int(h0 * r)), interpolation=interp) return img, (h0, w0), img.shape[:2] # img, hw_original, hw_resized else: return self.imgs[index], self.img_hw0[index], self.img_hw[index] # img, hw_original, hw_resized
在上述代码中,你可以在 `load_image()` 函数中修改图像路径。具体来说,你需要修改 `path = self.img_files[index]` 这一行的代码。将其中的 `self.img_files[index]` 更改为数据集中实际的图像路径。
请确保修改后的路径与数据集中实际的图像路径一致,以确保正确加载数据集中的图像文件。
以下是修改后的代码示例:
```python
# loads 1 image from dataset, returns img, original hw, resized hw
img = self.imgs[index]
if img is None: # not cached
path = "数据集中的实际图像路径" # 修改为数据集中实际的图像路径
img = cv2.imread(path) # BGR
assert img is not None, 'Image Not Found ' + path
h0, w0 = img.shape[:2] # orig hw
r = self.img_size / max(h0, w0) # resize image to img_size
if r != 1: # always resize down, only resize up if training with augmentation
interp = cv2.INTER_AREA if r < 1 and not self.augment else cv2.INTER_LINEAR
img = cv2.resize(img, (int(w0 * r), int(h0 * r)), interpolation=interp)
return img, (h0, w0), img.shape[:2] # img, hw_original, hw_resized
else:
return self.imgs[index], self.img_hw0[index], self.img_hw[index] # img, hw_original, hw_resized
```
请将 "数据集中的实际图像路径" 替换为数据集中对应图像的路径。保存修改后的文件,并重新运行 train.py 文件。
image_path = self.imgs_path[index] IndexError: list index out of range
This error occurs when you are trying to access an element in a list using an index that is out of range.
For example, if you have a list with 5 elements and you try to access the 6th element using index 5, you will get this error.
To fix this error, you need to make sure that your index is within the range of the list. You can check the length of the list using the `len()` function and adjust your index accordingly.
Another possible cause of this error is that the list is empty. In this case, you need to make sure that the list is properly initialized and contains the elements you are trying to access.
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