File size: 1,814 Bytes
0f07ba7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 | package localai
import (
"github.com/labstack/echo/v4"
"github.com/mudler/LocalAI/core/backend"
"github.com/mudler/LocalAI/core/config"
"github.com/mudler/LocalAI/core/http/middleware"
"github.com/mudler/LocalAI/core/schema"
"github.com/mudler/LocalAI/pkg/model"
"github.com/mudler/LocalAI/pkg/utils"
"github.com/mudler/xlog"
)
// DetectionEndpoint is the LocalAI Detection endpoint https://localai.io/docs/api-reference/detection
// @Summary Detects objects in the input image.
// @Param request body schema.DetectionRequest true "query params"
// @Success 200 {object} schema.DetectionResponse "Response"
// @Router /v1/detection [post]
func DetectionEndpoint(cl *config.ModelConfigLoader, ml *model.ModelLoader, appConfig *config.ApplicationConfig) echo.HandlerFunc {
return func(c echo.Context) error {
input, ok := c.Get(middleware.CONTEXT_LOCALS_KEY_LOCALAI_REQUEST).(*schema.DetectionRequest)
if !ok || input.Model == "" {
return echo.ErrBadRequest
}
cfg, ok := c.Get(middleware.CONTEXT_LOCALS_KEY_MODEL_CONFIG).(*config.ModelConfig)
if !ok || cfg == nil {
return echo.ErrBadRequest
}
xlog.Debug("Detection", "image", input.Image, "modelFile", "modelFile", "backend", cfg.Backend)
image, err := utils.GetContentURIAsBase64(input.Image)
if err != nil {
return err
}
res, err := backend.Detection(image, ml, appConfig, *cfg)
if err != nil {
return err
}
response := schema.DetectionResponse{
Detections: make([]schema.Detection, len(res.Detections)),
}
for i, detection := range res.Detections {
response.Detections[i] = schema.Detection{
X: detection.X,
Y: detection.Y,
Width: detection.Width,
Height: detection.Height,
ClassName: detection.ClassName,
}
}
return c.JSON(200, response)
}
}
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