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dockerfiles/doods/README.md
2020-09-15 13:00:51 +08:00

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doods
=====
[DOODS][1] - Dedicated Open Object Detection Service
## docker-stack.yaml
```yaml
version: "3.8"
services:
doods:
image: snowzach/doods:arm32
ports:
- "8080:8080"
configs:
- source: config.yaml
target: /opt/doods/config.yaml
deploy:
replicas: 2
placement:
max_replicas_per_node: 1
constraints:
- node.role == worker
restart_policy:
condition: on-failure
configs:
config.yaml:
file: ./data/config.yaml
```
## up and running
```
$ docker node ls
ID HOSTNAME STATUS AVAILABILITY MANAGER STATUS ENGINE VERSION
oy7dhxijdatpj8v6zntsin8l0 * pi1 Ready Active Leader 19.03.12
7hkc4r7pr0mjpzxbei2y92voe pi2 Ready Active 19.03.12
rcp67rotibho0qxfdnpqwx71l pi3 Ready Active 19.03.12
$ docker stack deploy -c docker-stack.yml doods
Creating network doods_default
Creating config doods_config.yaml
Creating service doods_doods
$ curl http://127.0.0.1:8080/version
{"version":"v0.2.2-0-gf87b48e-dirty"}
$ curl http://127.0.0.1:8080/detectors
{
"detectors": [
{
"name": "default",
"type": "tflite",
"model": "models/coco_ssd_mobilenet_v1_1.0_quant.tflite",
"labels": [
"person",
"bicycle",
"car",
"..."
"toothbrush"
],
"width": 300,
"height": 300,
"channels": 3
}
]
}
$ jq -n --arg data $(base64 -w0 image.jpg) '.detector_name="default" | .detect["*"]=50 | .data=$data' > data.json
$ cat data.json
{
"detector_name": "default",
"data": "<base64 encoded image information>",
"detect": {
"*": 50
}
}
$ base64 -w0 image.jpg | http -I http://127.0.0.1:8080/detect detector_name=default detect:='{"*":50}' data=@/dev/stdin
$ curl -X POST -H Content-Type:application/json http://127.0.0.1:8080/detect -d @data.json
{
"detections": [
{
"top": 0.8575546,
"left": 0.6978913,
"bottom": 0.95283264,
"right": 0.8112617,
"label": "sports ball",
"confidence": 71.09375
},
{
"top": 0.01605832,
"left": 0.24361546,
"bottom": 0.9921962,
"right": 0.5473911,
"label": "person",
"confidence": 68.75
}
]
}
```
[1]: https://github.com/snowzach/doods