from PIL import Image from PIL import ImageOps def cleanImage(imagePath): image = Image.open(imagePath) image = image.point(lambda x: 0 if x<143 else 255) borderImage = ImageOps.expand(image,border=20,fill='white') borderImage.save(imagePath) html = urlopen("http://www.pythonscraping....
('please overwrite the correct API_KEY and SECRET_KEY') exit() """ 读取文件 """ def read_file(image_path): f = None try: f = open(image_path, 'rb') return f.read() except: print('read image file fail') return None finally: if f: f.close() """ 调用远程服务 """ def ...
plt.imshow(wordcloud_ita.recolor(color_func=image_colors), interpolation="bilinear") plt.axis("off") # store to file plt.savefig("img/ita_wine.png", format="png") #plt.show() 继意大利之后是西班牙: # Generate a word cloud image mask = np.array(Image.open("img/spain.png")) wordcloud...
如果是Python2.x,可以通过以下地址进行下载:http:///products/pil/index.html,找到相应的版本进行下载。 注意:PIL模块在Python3中已经替换成pillow模块,文档地址:http:///en/latest/,直接使用pip3 install pillow即可安装模块。导入时使用from PIL import Image 打开图片 from PIL import Image image = Image.open...
ax.axis('off')defupdate(frame):# your matplotlib code goes here# Open an ffmpeg processoutf ='ffmpeg.mp4'cmdstring = ('ffmpeg','-y','-r','30',# overwrite, 30fps'-s','%dx%d'% (canvas_width, canvas_height),# size of image string'-pix_fmt','argb',# format'-f','rawvideo...
model.save_weights('./dog_weights.h5', overwrite=True) # 评估模型 score = model.evaluate(x_test, y_test, batch_size=10) print(score) 5 预测 此时k、b(参数)和x(小狗的图像)都是已知的了,求k(类别)就完了。 # 1.上传图片 name = input('上传图片的名称(例如:XX.jpg)为:') # 2.预处...
# 统一尺寸的核心代码img = Image.open(img_path) new_img = img.resize((100,100), Image.BILINEAR) new_img.save(os.path.join('./dog_kinds_after/'+ dog_name, jpgfile)) 2 由于数据是自己下载的,需要制作标签(label),可提取图像名称的第一个数字作为类别。(重命名图片) ...
因为需要调用图片最初使用了PIL模块,但是发现效果不好,打开图片时是单独一个图片框显示,对于答题体验一点不友好,于是使用了matplotlib模块中的pyplot,这样就可以在执行程序时,让问题和图片都在pycharm中显示,让使用效果体验比较好,希望能够把图片和图片在一个类似浏览器中显示,不知道具体使用哪个功能模块能够实现,还欢迎...
client import pythoncom def save_something_to_excel(result_file_path): pythoncom.CoInitialize() excel_app = win32com.client.DispatchEx('Excel.Application') # excel_app = win32com.client.Dispatch('Excel.Application') excel_app.Visible = False excel_app.DisplayAlerts = False book = excel_...
('please overwrite the correct API_KEY and SECRET_KEY') exit()""" 读取文件"""def read_file(image_path): f = None try: f = open(image_path, 'rb') return f.read() except: print('read image file fail') return None finally: if f: f.close()""" 调用远程服务"""def request(...