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Merge branch 'develop' into vsaltykovx/add_mmdetection_input_paramete…
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saltykox committed Mar 25, 2022
2 parents cc77164 + 0d4ce2c commit ede7332
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6 changes: 3 additions & 3 deletions .github/workflows/stale_marker.yml
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Expand Up @@ -12,8 +12,8 @@ jobs:
stale-issue-message: "This issue is stale because it has been open 90 days with no activity. Remove stale label or comment or this will be closed in 7 days."
stale-pr-message: "This PR is stale because it has been open 90 days with no activity."
close-issue-message: "This issue was closed because it has been stalled for 30 days with no activity."
days-before-issue-stale: 90
days-before-pr-stale: 90
close-pr-message: "This PR was closed because it has been stalled for 180 days with no activity."
days-before-stale: 90
days-before-issue-close: 30
days-before-pr-close: -1
days-before-pr-close: 180
start-date: "2022-02-15T00:00:00Z"
14 changes: 5 additions & 9 deletions QUICK_START_GUIDE.md
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Expand Up @@ -14,17 +14,13 @@
git checkout -b develop origin/develop
git submodule update --init --recursive
```
2. Export `OTE_SDK_PATH` environment variable to use it inside our scripts:
```
export OTE_SDK_PATH=`pwd`/ote_sdk
```
3. Install prerequisites by running the following:
2. Install prerequisites by running the following:
```
sudo apt-get install python3-pip python3-venv
```
4. Search for available scripts that create python virtual environments for different task types:
3. Search for available scripts that create python virtual environments for different task types:
```bash
find external/ -name init_venv.sh
```
Expand All @@ -38,15 +34,15 @@
Each line in the output gives an `init_venv.sh` script that creates a virtual environment
for the corresponding task type.

5. Let's choose a task type.
4. Let's choose a task type.
Let it be `external/mmdetection` for Object Detection task.
```bash
TASK_ALGO_DIR=./external/mmdetection/
```
Note that we will not use the variable `TASK_ALGO_DIR` inside our scripts, we set it just to
simplify this guide.

6. Let's create, activate virtual environment for the chosen task, and install `ote_cli`.
5. Let's create, activate virtual environment for the chosen task, and install `ote_cli`.
Note that the virtual environment folder may be created in any place in your system,
but we will create it in the folder `./cur_task_venv` for convenience.
```bash
Expand All @@ -62,7 +58,7 @@
from the chosen task folder is used to avoid breaking constraints
for the OTE task.

7. As soon as `ote_cli` is installed in the virtual environment, you can use
6. As soon as `ote_cli` is installed in the virtual environment, you can use
`ote` command line interface described below to run
train/eval/export/other action for templates related to the chosen task type.

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188 changes: 188 additions & 0 deletions data/anomaly/detection/test.json
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47 changes: 47 additions & 0 deletions data/anomaly/detection/train.json
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