Huge feature (200+ commits from different developers). It completely changes layout of data (please expect very long DB migration process if you have a lot of tasks). The primary idea is to send data as zip chunks (e.g. 36 images in one chunk) or encoded video chunks and decode them on the client side. It helps to solve the problem with latency when you try to view a separate frame in the UI quickly (play mode).
Another important feature of the patch is to provide access to the original images. Thus for annotations the client uses compressed chunks but if you want to export a dataset Datumaro will use original chunks (but video will be decoded with original quality and encoded with maximum/optimal quality in any case).
* Some debian package manager tweaks
By default, Ubuntu or Debian based "apt" or "apt-get" system installs recommended but not suggested packages .
By passing "--no-install-recommends" option, the user lets apt-get know not to consider recommended packages as a dependency to install.
This results in smaller downloads and installation of packages .
Refer to blog at [Ubuntu Blog](https://ubuntu.com/blog/we-reduced-our-docker-images-by-60-with-no-install-recommends) .
* Replaced wget by curl
* Moved CI stuff into Dockerfile.ci
* Use docker-compose to run commnands inside docker (need environment variables)
* Added patool again (to support different archive formats)
* Roll back tensorflow version: 1.15 -> 1.13.1
Fixed https://github.com/opencv/cvat/issues/982
Fixed https://github.com/opencv/cvat/issues/1017
* datumaro install tensorflow 2.x now. It breaks automatic annotation
using TF.
* Follow redirects in curl (auto_segmentation)
* Slightly enhance command line interface feature.
Added README.md, run tests using travis, run CLI tests from VS code.
* Removed formatted string due to a limitation on our python version inside the container.
* Add information about command line interface to the main page.
* added tfrecord loader/dumper
* add comment
* remove unused import
* used the latest version of tensorflow(1.12.3) which supports cuda 9.0
updated cudnn library
install tensorflow by default and replace it by tensorflow-gpu in case
of cuda support is enabled
* Updated changelog
* Initial version of install guide for Ubuntu 18.04
* Description how to create install CVAT on Windows + fix for Windows 3rdparty patch.
* Write instructions for Mac OS.
* Clean up for README.md
* Update CHANGELOG.
* Fix typos which were found on code review.
* OpenVINO installation
* Separate tf_annotation -> tf_annotation and cuda support.
* TF Annotation app now supports openVino backend
* Doc for CUDA component
* OpenVINO Readme file was added
* OpenVINO env and pip requirements for model optimizer
* Update logging
* TF annotation Readme file was added
* Update CHANGELOG
* Keep aspect ratio for image, not reverse input channels
* Move analytics into components
- changed Content-type for save_job request to application/json, object…
- Adopted public PR - PASCAL VOC converter
- Added convert_to_mask.py script
- Fixed player continue plaing at the end of video, lock for editable object broke the client
- Same colors for shapes and menus, ability to change color for label or group
- Undo redo
- Added license header for all files
- Added .gitattributes file (critical for bash scripts)
- Fixed "Don't delete tasks if a user is deleted"
- More strict check for 'checkbox' and 'number' values
- Added convert_to_coco.py script
- Job statistic were extended. Blowradius was removed
- More strict labels verification
- Drag polygons by requirement, norm stroke opacity, easy box dragging
- Drawing with mouse outside the image area
- Fixed 7z support
- Boundig box size in drawer, switcheable grid
- Split tracks feature
- Fix flip parsing
- Update color set & color by label feature
- Add point for polygons feature
- Added context menu
- Polyshapes
Nikita Manovich
Andrey Zhavoronkov
Pratik Raj
zhiltsov-max
Priya4607
Ben Hoff
dependabot[bot]
Reza Malek
Boris Sekachev
DanVev
Nikita Manovich