Bumps
[http-cache-semantics](https://github.com/kornelski/http-cache-semantics)
from 4.1.0 to 4.1.1.
<details>
<summary>Commits</summary>
<ul>
<li><a
href="2449650435"><code>2449650</code></a>
Update mocha</li>
<li><a
href="560b2d8ef4"><code>560b2d8</code></a>
Don't use regex to trim whitespace</li>
<li><a
href="b1bdb92638"><code>b1bdb92</code></a>
Remove linting package zoo</li>
<li><a
href="c20dc7eeca"><code>c20dc7e</code></a>
Cache 308</li>
<li>See full diff in <a
href="https://github.com/kornelski/http-cache-semantics/compare/v4.1.0...v4.1.1">compare
view</a></li>
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Added simple filter queries for collections in the server API. Such
queries should cover simpler cases, while more complex filters should
use the JSON syntax.
- Added simple filters for collection endpoints in API (e.g.
`/tasks?project_id=42&user=myusername`)
- Removed duplicating collection endpoints in API in favor of their full
versions:
- `/projects/{id}/tasks` -> `/tasks?project_id={id}`
- `/tasks/{id}/jobs` -> `/jobs?task_id={id}`
- `/jobs/{id}/issues` -> `/issues?job_id={id}`
- `/issue/{id}/comments` -> `/comments?issue_id={id}`
- Corresponding owning objects now return a link to the collection:
- `/projects/{id}`: `.tasks`
- `/tasks/{id}`: `.jobs`
- `/jobs/{id}`: `.issues`
- `/issue/{id}`: `.comments`
- Fixed errors in the generated server API schema:
- Input and output types in all the basic model methods (`Create`,
`Update`, `Retrieve`, `Delete`)
- Removed invalid separation for the project list operation response
type
- File structure for projects in the dataset cache is updated to store
the new project representation. Old caches will be invalidated.
- Added tests
While deploying I got the following error:
```
./Miniconda3-latest-Linux-x86_64.sh: 438: [[: not found
./Miniconda3-latest-Linux-x86_64.sh: 444: [[: not found
CondaFileIOError: '/root/miniconda3/pkgs/envs/*/env.txt'. [Errno 2] No such file or directory: '/root/miniconda3/pkgs/envs/*/env.txt'
```
After this, there's only 12 files with ESLint errors left. I didn't fix
those because they all have at least one
`cypress/no-unnecessary-waiting` error, and I don't have enough Cypress
expertise to fix those.
Our HTML documentation template slaps a `<META NAME="ROBOTS"
CONTENT="NOINDEX, NOFOLLOW">` on every page unless the `HUGO_ENV`
environment variable is set to `production`, thereby excluding the
entire documentation website from web search results. Set the variable
to fix it.
This behavior is inherited from Docsy, although they have changed it
since: <https://github.com/google/docsy/pull/653>.
* Move the reproduction recipe above the expected & actual behavior.
Otherwise it's a bit awkward to fill out the template, because you have
to describe what happens before you describe how to get there.
* Fix references to the old `cvat-ai/cvat` GitHub project.
* Update/remove broken links.
* Fix wording.
<!-- Raised an issue to propose your change
(https://github.com/cvat-ai/cvat/issues).
It helps to avoid duplication of efforts from multiple independent
contributors.
Discuss your ideas with maintainers to be sure that changes will be
approved and merged.
Read the
[CONTRIBUTION](https://github.com/cvat-ai/cvat/blob/develop/CONTRIBUTING.md)
guide. -->
<!-- Provide a general summary of your changes in the Title above -->
### Motivation and context
<!-- Why is this change required? What problem does it solve? If it
fixes an open
issue, please link to the issue here. Describe your changes in detail,
add
screenshots. -->
Just fixing some things that keep annoying me when I create issues/PRs.
### How has this been tested?
<!-- Please describe in detail how you tested your changes.
Include details of your testing environment, and the tests you ran to
see how your change affects other areas of the code, etc. -->
### Checklist
<!-- Go over all the following points, and put an `x` in all the boxes
that apply.
If an item isn't applicable by a reason then ~~explicitly
strikethrough~~ the whole
line. If you don't do that github will show an incorrect process for the
pull request.
If you're unsure about any of these, don't hesitate to ask. We're here
to help! -->
- [x] I submit my changes into the `develop` branch
- ~~[ ] I have added a description of my changes into
[CHANGELOG](https://github.com/cvat-ai/cvat/blob/develop/CHANGELOG.md)
file~~
- ~~[ ] I have updated the [documentation](
https://github.com/cvat-ai/cvat/blob/develop/README.md#documentation)
accordingly~~
- ~~[ ] I have added tests to cover my changes~~
- ~~[ ] I have linked related issues ([read github docs](
https://help.github.com/en/github/managing-your-work-on-github/linking-a-pull-request-to-an-issue#linking-a-pull-request-to-an-issue-using-a-keyword))~~
- ~~[ ] I have increased versions of npm packages if it is necessary
([cvat-canvas](https://github.com/cvat-ai/cvat/tree/develop/cvat-canvas#versioning),
[cvat-core](https://github.com/cvat-ai/cvat/tree/develop/cvat-core#versioning),
[cvat-data](https://github.com/cvat-ai/cvat/tree/develop/cvat-data#versioning)
and
[cvat-ui](https://github.com/cvat-ai/cvat/tree/develop/cvat-ui#versioning))~~
### License
- [x] I submit _my code changes_ under the same [MIT License](
https://github.com/cvat-ai/cvat/blob/develop/LICENSE) that covers the
project.
Feel free to contact the maintainers if that's a concern.
There seems to be a bug somewhere in the Docker ecosystem (it's probably
either Docker Compose, Docker Buildx or BuildKit) that causes `docker
compose build` to ignore base images that are already present in the
system, and instead fetch them from Docker Hub, if there's a custom
Buildx builder configured. There's a bug report here:
<https://github.com/docker/compose/issues/9939>.
This bug means that when the build pipeline builds the `cvat_ci` image,
it's based on the latest release of `cvat/server` from Docker Hub
instead of the version that we just built. Consequently, we run the unit
tests against that release instead of the development version.
Fortunately, we don't actually need to set up a Buildx builder in most
jobs (including the `unit_testing` job), so just don't do that.
Also, use `cvat/server:local` as the base image in `Dockerfile.ci`. This
will prevent a similar bug from reoccurring in the future, since the
`local` tag should never be uploaded to Docker Hub.
### Motivation and context
This is a very simple pull request. The type of the credentials
parameter of `make_client` is currently `Optional[Tuple[int, int]]`, but
it should be `Optional[Tuple[str, str]]` as used by `Client#login`. This
PR makes that change.
### How has this been tested?
The typing does not affect the functionality of the code (just the
warnings I get in an IDE).
Issue: https://github.com/opencv/cvat/issues/1217
Currently there are a few proposals for SSO authentication to bypass the
current user/password login on the UI. By using Django social accounts
it is also possible to use SSO on the API, retrieving the security token
by passing the code from the OAuth2 workflow. This is an example using
Amazon Cognito, but any other social account could also be added.
### Motivation and context
Currently CVAT has no functionality to log in with SSO. Other current
proposals bypass the current Django framework to add SSO in the UI only,
but still use username and password for the API. Using Django social
accounts integrates SSO with the API as well, allowing it to be used as
an alternative to the username and password, but can also be used
together with other SSO frameworks that are UI only.
### How has this been tested?
Unit tests for SSO manager in cvat-core and integration test with
cvat-sdk for /auth/cognito endpoint.
### Checklist
<!-- Go over all the following points, and put an `x` in all the boxes
that apply.
If an item isn't applicable by a reason then ~~explicitly
strikethrough~~ the whole
line. If you don't do that github will show an incorrect process for the
pull request.
If you're unsure about any of these, don't hesitate to ask. We're here
to help! -->
- [x] I submit my changes into the `develop` branch
- [ ] I have added a description of my changes into
[CHANGELOG](https://github.com/cvat-ai/cvat/blob/develop/CHANGELOG.md)
file
- [x] I have updated the [documentation](
https://github.com/cvat-ai/cvat/blob/develop/README.md#documentation)
accordingly
- [x] I have added tests to cover my changes
- [x] I have linked related issues ([read github docs](
https://help.github.com/en/github/managing-your-work-on-github/linking-a-pull-request-to-an-issue#linking-a-pull-request-to-an-issue-using-a-keyword))
- [ ] I have increased versions of npm packages if it is necessary
([cvat-canvas](https://github.com/cvat-ai/cvat/tree/develop/cvat-canvas#versioning),
[cvat-core](https://github.com/cvat-ai/cvat/tree/develop/cvat-core#versioning),
[cvat-data](https://github.com/cvat-ai/cvat/tree/develop/cvat-data#versioning)
and
[cvat-ui](https://github.com/cvat-ai/cvat/tree/develop/cvat-ui#versioning))
### License
- [x] I submit _my code changes_ under the same [MIT License](
https://github.com/cvat-ai/cvat/blob/develop/LICENSE) that covers the
project.
Feel free to contact the maintainers if that's a concern.
Co-authored-by: Melanie Day <mday@EYEDIAGNOSIS.local>
Co-authored-by: Maria Khrustaleva <maria@cvat.ai>
Co-authored-by: Nikita Manovich <nikita@cvat.ai>
This PR adds an option to specify file to job mapping explicitly during
task creation. This option is incompatible with most other job-related
parameters like `sorting_method` and `frame_step`.
- Added a new task creation parameter (`job_file_mapping`) to set a
custom file to job mapping during task creation
Pull Request regarding Issue #2987
PIL.Image conversion from I;16 to L or RGB are unsuccessful as for now.
See the corresponding Issue in the Pillow GitHub (Opened 2018, so no
changes to be expected)
https://github.com/python-pillow/Pillow/issues/3011
The proposed changes at least fix this issue for the mode 'I;16' and
delivers a possible solution for other modes (eg. I;16B/L/N).
This results in a correct calculation of the preview thumbnail and the
actual image, the annotation will be performed on.
We have used this solution on our own dataset and created annotations
accordingly.
Constantly increasing RAM consumption in cvat_worker_low docker
container while using automatic annotation with detector model in
nuclio.
### How has this been tested?
<!-- Please describe in detail how you tested your changes.
Include details of your testing environment, and the tests you ran to
see how your change affects other areas of the code, etc. -->
It was tested manually
use the OpenCV contour function to extract contour instead of
scikit-image function. to solve the problem of poor drawing of the
contour see the issue 4660
https://github.com/openvinotoolkit/cvat/issues/4660
This is pretty much the same fix applied to f-BRS in #5384. We've been
using HRNet for a while and now an then we receive "500 errors" just as
reported in #5299 when someone forgets to drop the alpha-channel from
our images.
### Motivation and context
The RuntimeError is a little bit different, but comes from the same
issue: RGBA instead of RGB images:
> RuntimeError: Given groups=1, weight of size [16, 3, 1, 1], expected
input[*, 4, *, *] to have 3 channels, but got 4 channels instead.
### How has this been tested?
I created a task with images with and w/o alpha channel, and the
interactor works on both now.
Django REST Framework ignores the Content-Type on request body parts, so
it doesn't know that they are JSON-encoded. Instead, it just tries to
decode each part as if it was an `str()`-encoded value.
Change the encoding to match the decoding. The only type this matters
for is `str`, because `json.dumps` and `str` produce different encodings
for `str` values.
Remove `none_type` from the list of encodable types since, to my
knowledge, there's no way to encode a `None` value as a
`multipart/form-data` part in a way that DRF will understand.
PR removes previews downloading from CS when task creating (skipped in
PR #5478). In addition, I had to change the test to check for the file
name existing in the message when the specified file is not found in the
bucket, because now the preview is no longer downloaded at the stage of
creating a task.
Kirill Sizov
Kirill Lakhov
Mariia Acoca
dependabot[bot]
Maxim Zhiltsov
Maria Khrustaleva
Anastasia Yasakova
Roman Donchenko
Nikita Manovich
Boris Sekachev
Padraig X. Lamont
ddx-day
vainkop
Andrey Zhavoronkov
Kazuki Matsuda
Michael Fujarski
PMazarovich
Waqar Shahid Qureshi
Rodrigo Berriel
Michael Selasi Dzamesi
