67 lines
1.2 KiB
Markdown
67 lines
1.2 KiB
Markdown
# Simple Image Labeler
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For trainig machine learning algorithms.
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Setup:
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- Copy `example.env` as `.env`
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- Write a data/config.json:
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```
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{
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"title": "My Labeler",
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"users": [
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"user1",
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"name2"
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],
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"labels": [
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{
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"type": "checkbox",
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"name": "my_check",
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"default": "off"
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},
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{
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"type": "number",
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"name": "my_number",
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"default": "1.0"
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},
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{
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"type": "text",
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"name": "my_text",
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"default": "some text"
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},
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{
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"type": "range",
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"name": "my_slider",
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"default": "75",
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"min": "0",
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"max": "100"
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},
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{
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"type": "select",
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"name": "my_selection",
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"default": "select2",
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"options": [
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"option1",
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"select2"
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]
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}
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]
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}
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```
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- Copy some images under data/images/
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- Start the docker instance
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- Open the URL in http://localhost:$EXPOSE
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## With nginx:
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```
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location /labeler/ {
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proxy_pass http://localhost:8088/;
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proxy_set_header Host $host;
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proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
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proxy_set_header X-Scheme $scheme;
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proxy_set_header X-Script-Name /labeler;
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}
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```
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