From 9ecc5a9948b6cac87214b5dd6305d7c58b147cc0 Mon Sep 17 00:00:00 2001 From: Nikita Manovich <40690625+nmanovic@users.noreply.github.com> Date: Thu, 7 Mar 2019 11:19:20 +0300 Subject: [PATCH] Add links for public blogs about CVAT (#344) * Add links for public blogs about CVAT --- README.md | 37 +++++++++++++++++++++---------------- 1 file changed, 21 insertions(+), 16 deletions(-) diff --git a/README.md b/README.md index 9ce2e3fc..f3cf1952 100644 --- a/README.md +++ b/README.md @@ -10,19 +10,24 @@ CVAT is completely re-designed and re-implemented version of [Video Annotation T ## Documentation -- [User's guide](cvat/apps/documentation/user_guide.md) -- [XML annotation format](cvat/apps/documentation/xml_format.md) -- [AWS Deployment Guide](cvat/apps/documentation/AWS-Deployment-Guide.md) -- [Questions](#questions) +- [User's guide](cvat/apps/documentation/user_guide.md) +- [XML annotation format](cvat/apps/documentation/xml_format.md) +- [AWS Deployment Guide](cvat/apps/documentation/AWS-Deployment-Guide.md) +- [Questions](#questions) ## Screencasts -- [Introduction](https://youtu.be/L9_IvUIHGwM) -- [Annotation mode](https://youtu.be/6h7HxGL6Ct4) -- [Interpolation mode](https://youtu.be/U3MYDhESHo4) -- [Attribute mode](https://youtu.be/UPNfWl8Egd8) -- [Segmentation mode](https://youtu.be/Fh8oKuSUIPs) -- [Tutorial for polygons](https://www.youtube.com/watch?v=XTwfXDh4clI) +- [Introduction](https://youtu.be/L9_IvUIHGwM) +- [Annotation mode](https://youtu.be/6h7HxGL6Ct4) +- [Interpolation mode](https://youtu.be/U3MYDhESHo4) +- [Attribute mode](https://youtu.be/UPNfWl8Egd8) +- [Segmentation mode](https://youtu.be/Fh8oKuSUIPs) +- [Tutorial for polygons](https://www.youtube.com/watch?v=XTwfXDh4clI) + +## Links +- [Intel AI blog: New Computer Vision Tool Accelerates Annotation of Digital Images and Video](https://www.intel.ai/introducing-cvat) +- [Intel Software: Computer Vision Annotation Tool: A Universal Approach to Data Annotation](https://software.intel.com/en-us/articles/computer-vision-annotation-tool-a-universal-approach-to-data-annotation) +- [VentureBeat: Intel open-sources CVAT, a toolkit for data labeling](https://venturebeat.com/2019/03/05/intel-open-sources-cvat-a-toolkit-for-data-labeling/) ## Online Demo @@ -30,8 +35,8 @@ CVAT is completely re-designed and re-implemented version of [Video Annotation T After you click the link above: -- Click on "GO TO WORKSPACE" and the CVAT environment will load up -- The environment is backed by a K80 GPU +- Click on "GO TO WORKSPACE" and the CVAT environment will load up +- The environment is backed by a K80 GPU If you have any questions, please contact Onepanel directly at support@onepanel.io. If you are in the Onepanel application, you can also use the chat icon in the bottom right corner. @@ -73,10 +78,10 @@ docker-compose -f docker-compose.yml -f components/cuda/docker-compose.cuda.yml ### Additional optional components -- [Support for Intel OpenVINO: auto annotation](components/openvino/README.md) -- [Analytics: management and monitoring of data annotation team](components/analytics/README.md) -- [TF Object Detection API: auto annotation](components/tf_annotation/README.md) -- [Support for NVIDIA GPUs](components/cuda/README.md) +- [Auto annotation using DL models in OpenVINO toolkit format](cvat/apps/auto_annotation/README.md) +- [Analytics: management and monitoring of data annotation team](components/analytics/README.md) +- [TF Object Detection API: auto annotation](components/tf_annotation/README.md) +- [Support for NVIDIA GPUs](components/cuda/README.md) ### Create superuser account