使用Python Image库生成mask图片 Python提供了许多强大的图像处理库,其中之一就是Pillow库,它是Python Image Library(PIL)的一个分支,并提供了易于使用的API来处理图片。下面是一个示例代码,演示了如何使用Pillow库来生成mask图片: fromPILimportImage# 加载原始图片image=Image.open("input.jpg")# 预处理图片image=im...
for _image in os.listdir(path): if _image.split('.')[1] == "jpg": # 将同名的jpg和png文件进行叠加 image_jpg = os.path.join(path, _image) _image_png = _image.split('.')[0] + ".png" image_png = os.path.join(path, _image_png) img_a = cv2.imread(image_jpg) img_b =...
47,31)}defput_predict_image(origin_image_np,test_mask,attr,alpha):'''将predict图片以apha透明度覆盖到origin图片中:param origin_image::param predict_image::param RGB::param alpha::return:'''test_mask_RGB=Image.fromarray(
addWeighted(result, 0.5, image, 1.0 - 0.5, 0) video_test.py 代码语言:javascript 代码运行次数:0 运行 AI代码解释 #!/usr/bin/python # -*- coding:utf-8 -*- # --- # # 作者:赵泽荣 # 时间:2021年9月26日(农历八月二十) # 个人站点:1.https://zhao302014.github.io/ # 2.https://...
'<f4'是一个数据类型描述符, #图像继承参照的affine,是图像空间到世界空间坐标的转换矩阵 WMmask_outPath = op.join(out_Dir,'WMmask.nii.gz') nib.save(img, WMmask_outPath) img = nib.Nifti1Image(CSFmask.reshape(ref.shape).astype('<f4'), ref.affine) CSFmask_outPath = op.join(out_Dir,...
#!/usr/bin/python3 #!--*-- coding: utf-8 --*-- import numpy as np from PIL import Image, ImageColor, ImageDraw, ImageFont import matplotlib.pyplot as plt import os # 指定 GPUID os.environ["CUDA_VISIBLE_DEVICES"]="0" import tensorflow as tf # masks 颜色 COLORS = np.array([ np...
("Train Keypoints Image Count: {}".format(len(dataset_train.image_ids)))print("Train Keypoints Class Count: {}".format(dataset_train.num_classes))fori, infoinenumerate(dataset_train.class_info):print("{:3}. {:50}".format(i, info['name']))print("Val Keypoints Image Count: {}"...
cv2.imshow('Image', im_in)convert('/home/simon/Pictures/gold.jpg', False)#for i, f in enumerate(os.listdir(in_dir)):#if not f.endswith('.jpg'):#continue#print(i, f)#convert(os.path.join(in_dir, f))#if i == 100 :#breakk=cv2.waitKey(0)ifk == 27:#键盘上Esc键的键值cv...
DialogPython Label Explanation Data Type Input Raster The input raster dataset. If the input is multiband, the first band will be used by default. Mosaic Layer; Raster Layer; Image Service; String; Raster Dataset; Mosaic Dataset Output Mask Raster The output binary raster dataset. Supported ...
# Create model in training mode using gpuwith tf.device("/gpu:0"): model = modellib.MaskRCNN(mode="training", config=config,model_dir=MODEL_DIR)# Which weights to start with? init_with = "imagenet" # imagenet, cocoif init_with == "imagenet": model.load_weights(model.get_imagene...