example-deepdetect-sim300.sh

#!/bin/bash
#change base_lr

#note nclasses bases+count

curl -X DELETE "http://localhost:8080/services/tag_detect?clear=all"
sleep 1
docker stop dd_tags
docker rm dd_tags

nvidia-docker  run --name dd_tags -d -p 8080:8080 -v "`pwd`":/tags_dataset jolibrain/deepdetect_gpu

sleep 2


rm models/ssd300/*txt models/ssd300/*json models/ssd300/model*
rm -rf models/ssd300/*lmdb
sleep 1

curl -X PUT "http://localhost:8080/services/tag_detect" -d '{
  "mllib": "caffe",
  "description": "tag detector",
  "type": "supervised",
  "parameters": {
    "input": {
      "connector": "image",
      "db": true,
      "bbox": true,
      "img_width":300,
      "img_height":300,
      "db_width":512,
      "db_height":512
    },
    "mllib": {
      "template": "ssd_300",
      "finetuning": true,
      "weights": "/tags_dataset/models/ssd300/VGG_ILSVRC_16_layers_fc_reduced.caffemodel",
      "nclasses": 3,
      "rotate": true,
      "mirror": true,
      "db": true,
      "noise": {
        "all_effects": true,
        "prob": 0.001
      },
      "distort": {
        "all_effects": true,
        "prob": 0.5
      },
      "geometry": {
        "persp_horizontal": true,
        "persp_vertical": true,
        "pad_mode": "MIRRORED",
        "persp_factor": 0.25,
        "zoom_factor": 0.25,
        "prob": 0.0
      },
      "gpu": true
    },
    "output":{ "confidence_threshold":0.3, "bbox": true }
  },
  "model": {
    "templates": "../templates/caffe/",
    "repository": "/tags_dataset/models/ssd300",
    "create_repository": true
  }
}'


sleep 2

curl -X POST "http://localhost:8080/train" -d '{
    "service": "tag_detect",
    "async": true,
    "parameters": {
	"input": {
	    "shuffle": true,
	    "db": true,
	    "db_width": 512,
	    "db_height": 512,
	    "width":300,
	    "height":300
	},
	"mllib": {
	    "gpu": true,
	    "resume": false,
	    "net": {
		"batch_size": 32,
		"test_batch_size": 1
	    },
	    "solver": {
		"iterations": 80000,
		"test_interval": 1000,
		"snapshot": 1000,
		"base_lr": 0.001,
		"solver_type": "ADAMSW",
		"iter_size": 1
	    },
	    "bbox": true
	},
         "output": {
          "measure": [
           "map"
          ]
         }
    },
    "data": [
	"/tags_dataset/train.txt",
	"/tags_dataset/test.txt"
    ]
}'

curl -X GET "http://localhost:8080/train?service=tag_detect&job=1"|python -mjson.tool