WebMar 13, 2024 · ValueError: cannot reshape array of size 0 into shape (25,785) 这个错误提示意味着你正在尝试将一个长度为0的数组重新塑形为一个(25,785)的数组，这是不可能的。 可能原因有很多，比如你没有正确地加载数据，或者数据集中没有足够的数据。 WebMay 20, 2024 · ValueError: Expected 2D array, got 1D array instead: array=[-1] Hot Network Questions mv: rename to /: Invalid argument
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WebOct 4, 2024 · 1 Answer Sorted by: 2 You need 2734 × 132 × 126 × 1 = 45, 471, 888 values in order to reshape into that tensor. Since you have 136, 415, 664 values, the reshaping is impossible. If your fourth dimension is 4, then the reshape will be possible. Share Improve this answer Follow answered Oct 4, 2024 at 15:30 Dave 3,744 1 7 22 Add a comment … WebSep 23, 2024 · 1 Answer Sorted by: 0 The error is originating from the first line because the total size of the array is not divisible by given reshaping parameters. Here is a toy example:: x_train = train_data.reshape (train_data.shape [0], train_data.shape [1], train_data.shape [2], INPUT_DIMENSION)
WebMar 25, 2024 · Without those brackets, the i [0]...check is interpreted as a generator comprehension (gives a generator not an iterator) and so just generates the 1st element … WebApr 1, 2024 · cannot reshape array of size 64 into shape (28,28) Ask Question Asked 4 years ago Modified 4 years ago Viewed 6k times 1 Not able to reshape the image in mnist dataset using sklean This is the starting portion of my code just load the data some_digit = X [880] some_digit_image = some_digit.reshape (28, 28) ERROR PART
WebMar 9, 2024 · Sorted by: 1. If size of image data is 40000 and not equal 1x32x32x3 (One image with width and height, 32 x 32, and RGB format), you reshape it and then got the … WebApr 1, 2024 · 但是输入的图片尺寸肯定是不同的，那么就是在reshape前面resize部分出了问题。 由于scipy版本问题，scipy>=1.2不再包含函数 imresize ，所以在之前我就按网上的方法将 image = imresize (image, [height, width], interp='nearest') 调用numpy库： import numpy as np 原句改为了： np.array (Image.fromarray (image).resize ( (height, width))) 上述改 …
WebJun 25, 2024 · The problem is that in the line that is supposed to grab the data from the file ( all_pixels = np.frombuffer (f.read (), dtype=np.uint8) ), the call to f.read () does not read …
WebAug 29, 2024 · You're trying to reshape a 4096-dimensional image to an image having the shape of (64, 64, 3) -- which denotes an image with RGB color (or BGR color in OpenCV). However, the images being read are grayscale. This means you should not reshape it to (64, 64, 3) but instead to (64, 64, 1). data = img.reshape (1, IMG_SIZE, IMG_SIZE, 1) … nottingham city maternity unitWebMar 13, 2024 · ValueError: cannot reshape array of size 0 into shape (25,785) 这个错误提示意味着你正在尝试将一个长度为0的数组重新塑形为一个(25,785)的数组，这是不可能的。 可能原因有很多，比如你没有正确地加载数据，或者数据集中没有足够的数据。 how to shop safely on amazonWebApr 10, 2024 · cannot reshape array of size 31195104 into shape (300,224,224,3) I understand that 300 * 224 * 224 * 3 is not equal to 31195104 and that is why it's complaining. However, I don't understand why it's trying to reshape during load. Is the load method wrong, or is it the file? Should I be reshaping this data after loading? how to shop safely on ebayWebMar 17, 2024 · import numpy as np n = 10160 #n = 10083 X = np.arange (n).reshape (1,-1) np.shape (X) X = X.reshape ( [X.shape [0], X.shape [1],1]) X_train_1 = X [:,0:10080,:] X_train_2 = X [:,10080:10160,:].reshape (1,80) np.shape (X_train_2) If you cannot make sure that X is 10160 long I suggest one of the following solutions: how to shop pet insurancehow to shop secretly on amazonWebDec 18, 2024 · You can only reshape an array of one size to another size if the new size has the same number of elements as the old size. In this case, you are attempting to resize … how to shop organic on a budgetWebJan 28, 2024 · 1 Answer Sorted by: 3 You probably are trying to predict on an RGB image, while the model requires a grayscale image. What would work is if you do img = img [:,:,0] right after you load the image and then do the remaining process as it is. Share Follow answered Jan 28, 2024 at 5:39 Kalpit 861 8 24 how to shop safely online