img1, _ = augmenter.transform_sample(sample["color_aug"], None, override_jitter)报错IndexError: too many indices for tensor of dimension 3
时间: 2024-03-04 19:50:56 浏览: 20
这个错误通常是由于`transform_sample()`函数返回的`img1`是一个三维张量,但是被当做了一个四维张量来处理,导致了维度错误。
你需要检查一下你的代码中是否正确处理了`img1`的维度。例如,如果`img1`是一个三维张量,那么你应该使用`img1 = img1.transpose(1, 2, 0)`将通道维度移到最后一个维度上。另外,你也可以检查一下代码中是否存在类似于`img1[0]`这样的语句,这样会将三维张量`img1`变成一个二维张量,从而导致维度错误。
相关问题
File "/home/xianye/MCDE4_color-MonoVit-jihe全-print几何/datasets/sample_augmenter.py", line 274, in rotate_sample image = cv2.warpAffine(image, rot_mat, (width, height)) cv2.error: OpenCV(4.7.0) /io/opencv/modules/imgproc/src/imgwarp.cpp:2723: error: (-215:Assertion failed) src.cols > 0 && src.rows > 0 in function 'warpAffine'
这个错误是由于OpenCV函数`warpAffine`的输入图片大小为0导致的。具体来说,错误信息中的`src.cols > 0 && src.rows > 0`表示输入图片的宽和高必须大于0。
你可以检查一下代码中的输入图片是否正确,或者是否存在输入图片的尺寸问题。另外,还可以检查一下输入图片的路径是否正确,以及是否成功读取了图片。
imgaug.augmenters
Imgaug is a library in Python for augmenting and transforming images. It offers various functions to modify and enrich the images. The following are some examples of augmenters available in imgaug:
1. Flip: This augmenter flips the image horizontally or vertically.
2. Rotate: Rotate the image by a certain degree.
3. Crop: This augmenter crops the image by a specified amount.
4. Translate: Translate the image in the X and Y directions.
5. Scale: This augmenter scales the image by a certain factor.
6. GaussianBlur: This augmenter applies a Gaussian blur to the image.
7. ContrastNormalization: This augmenter adjusts the contrast of the image.
8. AdditiveGaussianNoise: This augmenter adds Gaussian noise to the image.
9. CoarseDropout: This augmenter removes a portion of the image.
10. Invert: Invert the colors of the image.
11. Affine: This augmenter applies a combination of rotation, translation, scaling, and shearing.
12. PerspectiveTransform: This augmenter applies a perspective transformation to the image.
13. ElasticTransformation: This augmenter applies elastic transformations to the image.
14. PiecewiseAffine: This augmenter applies a piecewise affine transformation to the image.
15. SimplexNoiseAlpha: This augmenter applies simplex noise to the alpha channel of the image.