WebOct 22, 2024 · 解决方法: 发现ladders变量是set数据类型,需要先转换为list类型后再进行np.array的转化,然后就可以进行reshape操作了。 ladders = set (np.random.randint ( 1, 100, size= 10 * 2 )) while len (ladders) < 10 * 2: ladders.add (np.random.randint ( 1, 100 )) # 进行list类型转换即可 ladders = list (ladders) ladders = np.array (ladders) ladders = … WebApr 1, 2024 · 原句改为了: np.array (Image.fromarray (image).resize ( (height, width))) 上述改动就是导致resize不起作用的原因,于是我采用了另外的改法,将调用的 from scipy.misc import imresize 注释掉或者删掉,选择调用skimage库: from skimage.transform import resize as imresize 原句改为: image = imresize (image, [height, width]) 采用第二种改 …
Densefuse: 成功解决ValueError: cannot reshape array of size xxx into shape …
WebApr 10, 2024 · import numpy as np x_test = np.load ('x_test.npy') x_train = np.load ('x_train.npy') y_test = np.load ('y_test.npy') y_train = np.load ('y_train.npy') But the code fails x_test and x_train with cannot reshape array of size # into shape # ie. for x_train I get the following error: cannot reshape array of size 31195104 into shape … WebSince you have 136,415,664 values, the reshaping is impossible. If your fourth dimension is 4, then the reshape will be possible. Read more > Cannot reshape array of size 9850 into shape (197,1,18,2) Hi! So I have been running into the following error, while trying to create a training dataset on Google Colab: Does anyone what... Read more > im worth the effort
numpy - ValueError: cannot reshape array of size …
WebFeb 3, 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 … WebJan 20, 2024 · When we try to reshape a array to a shape which is not mathematically possible then value error is generated saying can not reshape the array. For example … WebOct 4, 2024 · 1 Answer. 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 … in contingent with meaning