[i] = x 237 # optionally save augmented images to disk for debugging purposes ~/var/python/lib/python3.6/site-packages/keras_preprocessing/image/image_data_generator.py in standardize(self, x) 695 """ 696 if self.preprocessing_function: --> 697 x = self.preprocessing_function(x) 698 ...
bytes_64 = str_base64.encode('utf-8')# str---> bytes (add `b`)bytes_content = base64.decodebytes(bytes_64)# byteswithopen(to_file,"wb")asf: f.write(bytes_content)deftest_base64():# image to/from base64image_path ="images/1.jpg"str_base64 = get_base64_str_from_file(image...
复制 detections,extracted_images=detector.detectObjectsFromImage(input_image=os.path.join(execution_path,"image.jpg"),output_image_path=os.path.join(execution_path,"imagenew.jpg"),extract_detected_objects=True) 将其应用到第一张图片上,得到如下结果: 所有行人都被很好地提取了出来,为了节约空间这里只...
2,1), plot_image(original, 'original') pylab.subplot(1,2,2), plot_image(filtered, filter_name) pylab.show()from skimage.morphology import skeletonizeim = img_as_float(imread('../images/dynasaur.png')[...,3])threshold = 0.5im[im <...
# 定义函数analyze_code，接受一个参数directory，即要分析的目录路径。def analyze_code(directory):# 列出目录中所有以.py结尾的文件，构成一个列表。python_files = [file for file in os.listdir(directory) if file.endswith('.py')]# 如果没有找到Python文件，输出提示信息并返回。if not python_files:pr...
for link in get_images(json): saving_img(link) if __name__ == '__main__': for i in range(0,2): main(i) 这样整个程序就完成了,运行之后可以发现街拍美图保存下载下来了,这里我们只遍历了两个page_num,爬取了80张图片,如下图:
import cv2 image = cv2.imread('/Users/abdul/PycharmProjects/QScanner/images/second.jpg') qrCodeDetector = cv2.QRCodeDetector() decodedText, points, _ = qrCodeDetector.detectAndDecode(image) qr_data = decodedText.split(',') qr_size = qr_data[0] top = qr_data[1] right = qr_data[...
1.2 DeFFcode功能预览 视频流解码 DeFFcode核心功能就是利用ffmpeg进行视频解码。相关公开测试视频流地址为: rtsp流:rtsp://wowzaec2demo.streamlock.net/vod/mp4:BigBuckBunny_115k.mp4,来源于https://www.wowza.com/developer/rtsp-stream-test http流:http://devimages.apple.com.edgekey.net/streaming/examples...
raise ValueError("Please input the images with 1 channel") M, N = im1.shape C1 = (k1*L)**2 C2 = (k2*L)**2 window = matlab_style_gauss2D(shape=(win_size,win_size), sigma=1.5) window = window/np.sum(np.sum(window))
for i in xrange(9): plt.subplot(3, 3, i+1), plt.imshow(images[i], 'gray') plt.title(titles[i]) plt.xticks([]),plt.yticks([]) plt.show() 其运行结果如图所示: 三.基于像素操作的图像灰度化处理 前面讲述了调用OpenCV中cvtColor()函数实现图像灰度化的处理,接下来讲解基于像素操作的图像灰...