JumpStart, deploy this model to a SageMaker endpoint, and run inference on the deployed endpoint, all using the SageMaker Python SDK. The following examples contain code snippets. For the full code with all of the steps in this demo, see theIntroduction to JumpStart...
示例1: Image ▲ # 需要导入模块: from Image import Image [as 别名]# 或者: from Image.Image importimagegenerate[as 别名]importmathfromImageimportImageimportmatplotlib.pyplotaspltfromImageRelatedimportImageRelatedfromDetectionRelatedimportDetectionRelated thresholdnum =500imagenum =1000image = Image() image...
Open your favorite code editor and write a script that you’ll use to create an image from a text prompt just like you did using the command-line before. However, this time you’ll specify the DALL·E model to use: Python create.py 1from openai import OpenAI 2 3client = OpenAI() ...
# 需要导入模块: from blog.models import Post [as 别名]# 或者: from blog.models.Post importgenerateImage[as 别名]defimage_info(request, image_id):image = get_object_or_404(ImageModel, pk=image_id) image_code = Post.generateImage(image,500,500, image.url()) posts = Post.objects.all(...
python 生成验证码图片 来自《Python项目案例开发从入门到实战》(清华大学出版社 郑秋生 夏敏捷主编)中图像处理——生成二维码和验证码 1importrandom2importstring3fromPILimportImage, ImageDraw, ImageFont, ImageFilter456#用来随机生成一个字符串7defgene_text(number):8#生成52个大小写英文字母9source =list(string...
Denoise image loop The image and text embeddings are the initial input for the U-Net model. The U-Net model then reduces the noise (denoises) in the image using the text prompt as a conditional. Using a scheduler algorithm, the output from the U-Net model is then used to compute new...
import PIL as pil from PIL import Image import numpy as np print(pil.__version__) def neighbors(matrix: np.ndarray, x: int, y: int): """ stolen from https://stackoverflow.com/questions/73811239/query-the-value-of-the-four-neighbors-of-an-element-in-a-numpy-2d-array...
Generating a 3D mesh from a single 2D image seemed a very hard task some years ago. Nowadays, thanks to the advancement in Deep Learning, multiple monocular depth estimation models have been…
Finally, we build the legend and show the image: ax.legend()plt.show() Let’s close out our script by adding the exception handler and closing the connection: exceptsqlite3.Errorase:print("Error retrieving data from the database:",e)conn.close() ...
Use your own data to generate image Please runpython3 main.py --helpto see all optional arguments and their meanings. And put your own data in corresponding folder. Config text effects and fraction inconfigs/default.yamlfile(or create a new config file and use it by--config_fileoption), ...