im.fromarray(np.uint8(amp)).save(dpc_amp) 开发者ID:keithdeng,项目名称:workflow_test,代码行数:31,代码来源:DPC.py 示例2: convolve_png ▲点赞 6▼ # 需要导入模块: import Image [as 别名]# 或者: from Image importfromarray[as 别名]defconvolve_png(filename, kernel, **kwargs):'''convolve...
GetImageFromArray(seg_new) img_corr.CopyInformation(img) sitk.WriteImage(img_corr, out_file) Example #12Source File: UI_util.py From lung_nodule_detector with MIT License 6 votes def load_itk_image(filename): with open(filename) as f: contents = f.readlines() line = [k for k in...
filename = pathlib.Path(image_file).name output_file = os.path.join(result_dir, image_file.split('/')[-1]) txt_file = os.path.join(result_dir, image_file.split('/')[-1].split('.')[0]+'.txt') txt_f = open(txt_file, 'w') Image.fromarray(image_framed).save(output_file)...
使用Image.fromarray()时元组索引超出范围PIL 、、、 我正在尝试将一些CIFAR10图像数据处理成图像瓦片,以便在黑色画布上使用PIL绘图。在从经过训练的模型中提取特征时,我已经成功地做到了这一点,但在使用Image.fromarray时,我一直在使用IndexError: Tuple Index out of range。numpy as np from time import ti...
fromarray(images[i, :, :, :]).save( os.path.join(self._sample_input_dir, IMAGE_NAME_PATTERN.format(i))) # write target class for targeted attacks if submission_type == 'targeted_attack': target_classes = np.random.randint(1, 1001, size=[BATCH_SIZE]) target_class_filename = os....
Python 的元组与列表类似，不同之处在于元组的元素不能修改，在前面的代码中我们已经不止一次使用过元组...
import numpy as np #Use PIL to access image data from PIL import Image img = Image.open('monalisa.jpg') #Create array from image data M = np.array(img) #Display array from image data display(Image.fromarray(M)) 1、缩小图像
, bytes)# Read singleton image as singletonim2 = imageio.imread(fname)assertnp.all(im1 == im2)# Read singleton image as seriesims = imageio.mimread(fname)assertlen(ims) ==1andnp.all(im1 == ims[0])# Read + write back without image extensionsbsdf.save(fname, bsdf.load(fname)...
importmatplotlib.imageasmpimgimportmatplotlib.pyplotasplt %matplotlib inline sample_image_index =0# change this for an image of interest from image_files listIMAGE_SIZE = (18,12) plt.figure(figsize=IMAGE_SIZE) img_np = mpimg.imread(image_files[sample_image_index]) img = Image.fromarray(img_...
You can replace "output.png" with your desired file name and format. Here’s the complete example of saving a NumPy array as a grayscale image using Image.fromarray(): from PIL import Image import numpy as np image_data = np.array([ [0, 128, 255], [64, 192, 32], [100, 50, ...