to get fast response from the server use small sizetry:#Create an AF_INET (IPv4), STREAM socket (TCP)tcp_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)exceptsocket.error, e:print'Error occurred while creating socket. Error code: '+str(e[0]) +' , Error...
下面,我们让 fast.ai 帮我们载入全部的数据。这时我们调用 ImageDataBunch 类的from_folder 函数,结果存储到 data 中: data = ImageDataBunch.from_folder(path, test='test', ds_tfms=get_transforms(), size=224) 注意这里,我们不仅读入了数据,还顺手做了2件事: 我们进行了数据增强(augmentation),也就是...
import globimport osimport cv2### Loop through all jpg files in the current folder ### Resize each one to size 600x600for image_filename in glob.glob("*.jpg"):### Read in the image data img = cv2.imread(image_filename)### Resize the image img = cv2.resize(img, (600, 600)) ...
在我们这个技术驱动的社会中,小工具和硬件只是硬币更明显的一面。在这一章中,我们将讨论编程的基础知识。我们还将看看数字系统的可见部分:硬件。 到底什么是编程? 基本上,编程是告诉数字设备,比如你的个人电脑,做什么的行为。我们键入由编程语言定义的命令列表,以便发生有用或有趣的事件。正确编程的计算机运行着世界...
() as executor: ### Get a list of files to process image_files = glob.glob("*.jpg") ### Process the list of files, but split the work across the process pool to use all CPUs ### Loop through all jpg files in the current folder ### Resize each one to size 600x600 executor....
defget_nessus_template_uuid(ip,port,template_name="advanced"):header={'X-ApiKeys':'accessKey={accesskey};secretKey={secretkey}'.format(accesskey=accesskey,secretkey=secretkey),'Content-type':'application/json','Accept':'text/plain'}api="https://{ip}:{port}/editor/scan/templates".format(...
sudo apt-get install pyqt5-dev-tools sudo pip3 install lxml make qt5py3 python3 labelImg.py 运行这个时,你应该得到一个 GUI 窗口。 从这里,选择打开目录并选择你保存所有图像的目录。 现在,你可以开始使用创建rectbox按钮进行注释。 绘制你的框,添加名称,并点击确定。 保存,点击下一张图片,然后重复! 你...
train_dataset = PascalVOCDataset(data_folder, split='train', keep_difficult=keep_difficult) train_loader = torch.utils.data.DataLoader(train_dataset, batch_size=batch_size, shuffle=True, collate_fn=train_dataset.collate_fn, num_workers=workers, ...
### Get a list of files to process image_files = glob.glob("*.jpg") ### Process the list of files, but split the work across the process pool to use all CPUs ### Loop through all jpg files in the current folder ### Resize each one to size 600x600 ...
folder_size.py four_digit_num_combination.py friday.py ftp_send_receive.py gambler.py gcd.py generate_permutations.py get_crypto_price.py get_info_remoute_srv.py get_likes_on_FB.py get_youtube_view.py google.py googlemaps.py googleweb.py greaterno.py greattwono...