self.figure.savefig(*args,**kwargs)File"matplotlib/figure.py",line2421,insavefigraiseFileNotFoundError("File cannot be saved")FileNotFoundError:File cannot be saved 1. 2. 3. 4. 5. 6. 7. 8. 9. 以下是一个时序图,展示程序执行过程中发生异常的时间序列: pspsUserpspsUserGenerate ImageSave ...
x = wc.generate(wordlist) # 生成词云图片 image = x.to_image() # 展示词云图片 image.show() # savepath是图片保存地址,保存词云图片 wc.to_file(savepath) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24. 标题5、生成微信九...
curl -X POST "http://127.0.0.1:8080/add_background" \ -F "input_image=@test.png" \ -F "color=638cce" \ -F "kb=200" 3、生成六寸排版照:发送一张 RGB 图像(一般为添加背景色之后的证件照),根据 size 进行照片排布,然后生成一张六寸排版照 curl -X POST "http://127.0.0.1:8080/genera...
If you want to see the revised prompt that DALL·E actually used to generate your image, then you can access it through .revised_prompt: Python create.py # ... print(response.data[0].revised_prompt) When prompting for image generation, it’s generally true that you’ll get better re...
# Generate an image using pre-trained AFHQv2 model ("Ours" in Figure 1, left).python gen_images.py --outdir=out --trunc=1 --seeds=2 --network=https://api.ngc.nvidia.com/v2/models/nvidia/research/stylegan3/versions/1/files/stylegan3-r-afhqv2-512x512.pkl ...
from PIL import Image from removebg import RemoveBg # removebg涉及到api_key,需要到其官网申请 api_key = 'PysKLJueeoyK9NbJXXXXXXXXX' def change_bgcolor(file_in, file_out, api_key, color): ''' #必须为png格式 ''' p, s = file_in.split(".") ...
[batch_size,28,28,1],2,'deconv4'))output=tf.tanh(deconv4)returnoutputwithtf.name_scope('input'):input_image=tf.placeholder(tf.float32,[None,28,28,1],"input_image")withtf.name_scope("Network"):generate_image=AutoEncoder(input_image)tf.summary.image("output_image",generate_image,100)...
api_key='PysKLJueeoyK9NbJXXXXXXXXX'defchange_bgcolor(file_in,file_out,api_key,color):''' #必须为png格式''' p,s=file_in.split(".")rmbg=RemoveBg(api_key,'error.log')rmbg.remove_background_from_img_file(file_in)file_no_bg="{}.{}_no_bg.{}".format(p,s,s)no_bg_image=Image...
# 设置字体大小与词频的关联程度为0.3max_font_size=80 # 缩小最大字体为80).generate(text)plt.figure(figsize=[8, 4])plt.imshow(wordcloud.recolor(color_func=image_colors), alpha=1)plt.axis(‘off’)‘’’保存到本地’’’plt.savefig(‘图10.jpg’, dpi=600, bbox_inches=‘tight’, quality...
编辑器: pycharm 环境版本: python3.7 wordcloud 1.9.3 matplotlib 3.5.3 案例01:最简调用 代码: # -*- coding: utf-8 -*-from wordcloud import WordCloudimport matplotlib.pyplot as plt# 打开文本text = open('constitution.txt').read()# 生成对象wc = WordCloud().generate(text)# 显示词云plt.imshow...