Question

网状结构的新手，我试图运行此示例代码时不走运：（

library(reticulate)
use_virtualenv("~/virtualenv", required = TRUE)
np <- import("numpy", convert = FALSE)
plt <- import("matplotlib.pyplot")
img <- import("pyts")

# R variables
image_data <- runif(25)
reshape_image_data <- array_reshape(image_data, c(25,1))

# Reticulated Python variables
x_array <- np$array(reshape_image_data)

mtf <- img$image$MTF(c(5, 5))
#mtf <- img$image$MTF(as.integer(c(as.integer(5),as.integer(5))))

X_mtf <- mtf$fit_transform(x_array)

遇到此错误：

Error in py_call_impl(callable, dots$args, dots$keywords) : 
  TypeError: 'size' must be an integer.

Detailed traceback: 
  File "~/virtualenv/lib/python3.6/site-packages/sklearn/base.py", line 517, in fit_transform
    return self.fit(X, **fit_params).transform(X)
  File "~/virtualenv/lib/python3.6/site-packages/pyts/image/image.py", line 268, in transform
    raise TypeError("'size' must be an integer.")

这来自pyts.image.image.py，其中的校验代码如下：

if not isinstance(self.image_size, int):
            raise TypeError("'size' must be an integer.")

没有使其正常工作。有人尝试过吗？谢谢

Answer 1

最后知道了。注意array_reshape c(1,25)和MTF as.integer(5) ：

library(reticulate)
use_virtualenv("~/virtualenv", required = TRUE)
np <- import("numpy", convert = FALSE)
plt <- import("matplotlib.pyplot")
img <- import("pyts")

# R variables
image_data <- runif(25)
reshape_image_data <- array_reshape(image_data, c(1,25))

# Reticulated Python variables
x_array <- np$array(reshape_image_data)

mtf <- img$image$MTF(as.integer(5))

X_mtf <- mtf$fit_transform(x_array)

R-Python网纹：TypeError：“大小”必须为整数

1 个答案: