result = ocr.ocr('image_sample.png', cls=True) # Print the extracted text for line in result[0]: print(line[1]) 6. Kraken Krakenis a high-performance OCR library specifically designed for historical and multilingual text. It is built on top ofOCRopusand provides additional features for ...
1.使用 Python 进行速度测试 2.在谷歌上搜索 3.制作网络机器人 4.获取歌曲歌词 5.获取照片的Exif数据...
Convert the image to the frequency domain. Shift the image in the frequency domain so that the zero frequency and low frequencies are centered in the image; otherwise, these frequencies will start at the top left of the image. Create a mask filter in the frequency domain. Apply the mask fi...
def loading_Images(): """Function to load images""" def loading_Image(image_name): """Return the sprites of pygame by create unique filename so that we can reference them""" new_filename = os.path.join('.', 'images', image_name) image = pygame.image.load(new_filename) #loading...
<<person>>UserUses the application<<system>>Excel to HTML ConverterConverts Excel files to HTML formatUsesExcel to HTML Conversion 源码分析 在分析代码的调用流程时,可以看出如何利用pandas库的read_excel方法来读取数据和将数据框转换为 HTML 格式。
convert(file_name)) # IMAGES TO PDF def images_to_pdf(): with open(f"file.pdf", "wb") as f: f.write(img2pdf.convert(file_names)) # Add Labels and Buttons Label(root, text = "IMAGE CONVERSION", font = "italic 15 bold").pack(pady = 10) Button(root, text = "Select Images"...
Extract pixels from an Earth Engine Image into a 3D numpy array. Calculate zonal statistics by group. Add a customized legend for Earth Engine data. Convert Earth Engine JavaScripts to Python code directly within Jupyter notebook. Add animated text to GIF images generated from Earth Engine data...
importunittestclassTestImageProcessing(unittest.TestCase):deftest_conversion(self):convert_png_to_transparent("test_input.png","test_output.png",range(200,256))img=Image.open("test_output.png").convert("RGBA")datas=img.getdata()foritemindatas:self.assertNotEqual(item[3],0)# 透明度应当为0if...
path_infile = self.dataDir + infile path_outfile = self.dataDir + outfile options = MhtLoadOptions()# Open MHT documentdocument = Document(path_infile, options)# Create Text devicetextDevice = TextDevice()# Convert a particular page and save the image to streamtextDevice.Process(document, ...
show() del neg_image plt.clf() 总结 步骤3 对区域完成了正负地形划分。正负地形可以作为后续识别沟底和沟坡范围的依据。 步骤四 沟坡沟底划分 面转栅格 提取平原 提取沟底 提取沟坡 4.1 面转栅格 Vector Polygons To Raster 将区域基本地貌分类矢量数据转为栅格,以便后续分析。 参数说明: field:栅格赋值...