import shlex import subprocess shell_cmd = shlex.split('curl --cookie "greeting=hello" -k https://curl.se') process = subprocess.Popen(shell_cmd, stdout = subprocess.PIPE, stderr = subprocess.PIPE, text = True, shell = True ) std_out, std_err = process.communicate() std_out.strip(...
sudo curl -sL https://deb.nodesource.com/setup_8.x | bash Install by running sudo apt install node nodejs npm Install the npm packages required for working with Ethereum. These packages are only necessary if you will be working at the command line. Eventually most users will need MyEther...
With image base64 Request $ curl -X POST -H "Content-Type: application/json" -d '{"img_base64":"<YOUR BASE 64 HERE>","engine":"tesseract"}' http://10.0.2.15:$HTTP_PORT/ocr The REST API also supports: Uploading the image content viamultipart/related, rather than passing an image ...
You can replace wget by curl -OL https://... if you prefer. Compile c++ -std=c++17 -o amalgamation_demo amalgamation_demo.cpp ./amalgamation_demo valid UTF-8 wrote 4 UTF-16LE words. valid UTF-16LE wrote 4 UTF-8 words. 1234 perfect round trip Usage (CMake) cmake -B build c...
At any time while using the Chat playground you can select View code to see Python, curl, and json code samples pre-populated based on your current chat session and settings selections. You can then take this code and write an application to complete the same task you're currently performing...
git 有两种拉代码的方式,一个是 HTTP,另一个是 ssh。git 的 HTTP 底层是通过 curl 的。HTTP 底层基于 TCP,而 TCP 协议的实现是有缓冲区的。 所以这个报错大致意思就是说,连接已经关闭,但是此时有未处理完的数据; 因为git项目或者文件太大造成的错误,而缓冲区太小,所以导致这个错误 ...
export PYCURL_SSL_LIBRARY=openssl 执行完上述语句之后再执行 pip install pycurl,成功,皆大欢喜 进行后续操作就可以。 希望对你有帮助～ 参考地址:https://stackoverflow.com/questions/51019622/curl-is-configured-to-use-ssl-but-we-have-not-been-able-to-determine-which-ssl...
cmd /c "curl -fSsLhttps://bootstrap.pypa.io/get-pip.py| python" cmd /c "pip install azure-storage-blob" cmd /c "pip install pandas" This task will only complete the first row : cmd /c "python-3.12.0-amd64.exe /quiet InstallAllUsers=1 PrependPath=1 Include...
curl -O https://bootstrap.pypa.io/get-pip.py && python3 get-pip.py Install Python packages: pip3 install PyKCS11 Create, Initialize, and Activate the CloudHSM Cluster Below are the steps you need to take to set up an AWS CloudHSM cluster ready for use in the demo application: ...
torchserve --start --no-config-snapshots \ --model-store model_store \ --models densenet161=densenet161.mar &> torchserve.log # Wait for the model server to start sleep 30 # Run a prediction request curl http://127.0.0.1:8080/predictions/densenet161 -T examples/image_classifier/kitten....