#docker build --rm -t awesome .#docker run --name awesome1 --link=db2inst1:db2inst1 -p 3000:3000 -dt awesome#FROM python:3.7-slim RUN apt-get update&&\ apt-get install -y gcc libxml2&&\ apt-get clean WORKDIR /app#We copy just the requirements.txt first to leverage Docker cacheC...
In Docker 1.13, the managed plugin api changed, as compared to the experimental version introduced in Docker 1.12. You mustuninstallplugins which you installed with Docker 1.12beforeupgrading to Docker 1.13. You can uninstall plugins using thedocker plugin rmcommand. If you have already upgraded to...
Due to limited functionality, it add watermark after the image has been resized. It work best when resize to smaller image/thumbnail and use in combination of a smaller watermark image. We may expand on the functionality in the future, if we have time....
Logical volume "docker-poolmeta" created. INFO: DATA_SIZE=40%FREE is smaller than MIN_DATA_SIZE=2G. Will create data volume of size specified by MIN_DATA_SIZE. Logical volume "docker-pool" created. WARNING: Converting logical volume docker/docker-pool and docker/docker-poolmeta to pool's ...
Rework some examples, including the Python examples. Update docs to include instructions for a container's lifecycle. Update docs documentation to discuss the docs branch. Don't skip cert check for an example & use HTTPS. Bring back the memory and swap accounting section which was lost when th...
Download our SD card image and flash it on your own SD card.Hereis a short guide on how to do this for Mac, Windows and Linux users. Afterwards insert the SD card in your Raspberry Pi and wait while it boots. The first time will take a little longer as it resizes the file system...
Choose a container image based on your requirements - Python 2, Python 3, CPU optimized, GPU optimized, training optimized, inference optimized." width="750" height="146"> Step 1: Launch your development instance. C5, P3, or a G4 family instances are all ideal for machine learning workload...
docker-images especially for the raspberry pi. To run dockerized applications on the raspberry pi you are depending on the base images. These base images must also support the ARM-architecture. For each situation there is an image, whether you want to run node.js, python, ruby or just ...
{ "firefox": { "default": "57.0", "versions": { "57.0": { "image": "selenoid/firefox:88.0", "port": "4444", "path": "/wd/hub" } } } } For Chrome and Opera images "path" is "/" instead of "/wd/hub" Pull browser Docker image: $ docker pull selenoid/firefox:88.0. ...
{input_data: img}) # rescale the coordinates to the original image # 将坐标重新映射到原始图片上,因为前面的计算都是在resize之后的图片上进行的,所以需要进行映射 boxes_[:, 0] *= (width_ori/float(args.new_size[0])) boxes_[:, 2] *= (width_ori/float(args.new_size[0])) boxes_[:, ...