pigeon
is a service for the Google Cloud Vision API on Golang.
You need to export a service account json file to GOOGLE_APPLICATION_CREDENTIALS
variable.
$ export GOOGLE_APPLICATION_CREDENTIALS=/path/to/service_account.json
pigeon
provides the command-line tools.
$ go get github.com/kaneshin/pigeon/tools/cmd/...
Make sure that pigeon
was installed correctly:
$ pigeon -h
$ pigeon-app -h
Type the following line to install pigeon
package.
$ go get github.com/kaneshin/pigeon
pigeon
is available to submit request with external image source (i.e. Google Cloud Storage image location).
# Default Detection is LabelDetection.
$ pigeon assets/lenna.jpg
$ pigeon -face gs://bucket_name/lenna.jpg
$ pigeon -label https://httpbin.org/image/jpeg
# Default port is 8080.
# Default Detection is LabelDetection.
$ pigeon-app
$ pigeon-app -port=8000 -- -face -label -safe-search
$ curl -XGET localhost:8080/
import "github.com/kaneshin/pigeon"
import "github.com/kaneshin/pigeon/credentials"
func main() {
// Initialize vision service by a credentials json.
creds := credentials.NewApplicationCredentials("credentials.json")
// creds will set a pointer of credentials object using env value of
// "GOOGLE_APPLICATION_CREDENTIALS" if pass empty string to argument.
// creds := credentials.NewApplicationCredentials("")
config := NewConfig().WithCredentials(creds)
client, err := pigeon.New(config)
if err != nil {
panic(err)
}
// To call multiple image annotation requests.
feature := pigeon.NewFeature(pigeon.LabelDetection)
batch, err := client.NewBatchAnnotateImageRequest([]string{"lenna.jpg"}, feature)
if err != nil {
panic(err)
}
// Execute the "vision.images.annotate".
res, err := client.ImagesService().Annotate(batch).Do()
if err != nil {
panic(err)
}
// Marshal annotations from responses
body, _ := json.MarshalIndent(res.Responses, "", " ")
fmt.Println(string(body))
}
The pigeon.Client
is wrapper of the vision.Service
.
// Initialize vision client by a credentials json.
creds := credentials.NewApplicationCredentials("credentials.json")
client, err := pigeon.New(creds)
if err != nil {
panic(err)
}
vision.Feature
will be applied to vision.AnnotateImageRequest
.
// DetectionType returns a value of detection type.
func DetectionType(d int) string {
switch d {
case TypeUnspecified:
return "TYPE_UNSPECIFIED"
case FaceDetection:
return "FACE_DETECTION"
case LandmarkDetection:
return "LANDMARK_DETECTION"
case LogoDetection:
return "LOGO_DETECTION"
case LabelDetection:
return "LABEL_DETECTION"
case TextDetection:
return "TEXT_DETECTION"
case SafeSearchDetection:
return "SAFE_SEARCH_DETECTION"
case ImageProperties:
return "IMAGE_PROPERTIES"
}
return ""
}
// Choose detection types
features := []*vision.Feature{
pigeon.NewFeature(pigeon.FaceDetection),
pigeon.NewFeature(pigeon.LabelDetection),
pigeon.NewFeature(pigeon.ImageProperties),
}
vision.AnnotateImageRequest
needs to set the uri of the form "gs://bucket_name/foo.png"
or byte content of image.
- Google Cloud Storage
src := "gs://bucket_name/lenna.jpg"
req, err := pigeon.NewAnnotateImageSourceRequest(src, features...)
if err != nil {
panic(err)
}
- Base64 Encoded String
b, err := ioutil.ReadFile(filename)
if err != nil {
panic(err)
}
req, err = pigeon.NewAnnotateImageContentRequest(b, features...)
if err != nil {
panic(err)
}
// To call multiple image annotation requests.
batch, err := client.NewBatchAnnotateImageRequest(list, features()...)
if err != nil {
panic(err)
}
// Execute the "vision.images.annotate".
res, err := client.ImagesService().Annotate(batch).Do()
if err != nil {
panic(err)
}
$ pigeon -label assets/pigeon.png
[
{
"labelAnnotations": [
{
"description": "bird",
"mid": "/m/015p6",
"score": 0.825656
},
{
"description": "anatidae",
"mid": "/m/01c_0l",
"score": 0.58264238
}
]
}
]
$ pigeon -safe-search assets/lenna.jpg
[
{
"safeSearchAnnotation": {
"adult": "POSSIBLE",
"medical": "UNLIKELY",
"spoof": "VERY_UNLIKELY",
"violence": "VERY_UNLIKELY"
}
}
]
Shintaro Kaneko kaneshin0120@gmail.com