wehub-resource-sync
68 lines
2.0 KiB
Go
68 lines
2.0 KiB
Go
package localai
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import (
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"encoding/base64"
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"github.com/labstack/echo/v4"
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"github.com/mudler/LocalAI/core/backend"
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"github.com/mudler/LocalAI/core/config"
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"github.com/mudler/LocalAI/core/http/middleware"
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"github.com/mudler/LocalAI/core/schema"
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"github.com/mudler/LocalAI/pkg/model"
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"github.com/mudler/xlog"
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)
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// DetectionEndpoint is the LocalAI Detection endpoint https://localai.io/docs/api-reference/detection
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// @Summary Detects objects in the input image.
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// @Tags detection
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// @Param request body schema.DetectionRequest true "query params"
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// @Success 200 {object} schema.DetectionResponse "Response"
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// @Router /v1/detection [post]
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func DetectionEndpoint(cl *config.ModelConfigLoader, ml *model.ModelLoader, appConfig *config.ApplicationConfig) echo.HandlerFunc {
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return func(c echo.Context) error {
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input, ok := c.Get(middleware.CONTEXT_LOCALS_KEY_LOCALAI_REQUEST).(*schema.DetectionRequest)
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if !ok || input.Model == "" {
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return echo.ErrBadRequest
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}
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cfg, ok := c.Get(middleware.CONTEXT_LOCALS_KEY_MODEL_CONFIG).(*config.ModelConfig)
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if !ok || cfg == nil {
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return echo.ErrBadRequest
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}
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xlog.Debug("Detection", "image", input.Image, "modelFile", "modelFile", "backend", cfg.Backend)
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image, err := decodeImageInput(input.Image)
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if err != nil {
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return err
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}
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res, err := backend.Detection(c.Request().Context(), image, input.Prompt, input.Points, input.Boxes, input.Threshold, ml, appConfig, *cfg)
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if err != nil {
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return mapBackendError(err)
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}
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response := schema.DetectionResponse{
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Detections: make([]schema.Detection, len(res.Detections)),
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}
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for i, detection := range res.Detections {
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var mask string
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if len(detection.Mask) > 0 {
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mask = base64.StdEncoding.EncodeToString(detection.Mask)
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}
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response.Detections[i] = schema.Detection{
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X: detection.X,
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Y: detection.Y,
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Width: detection.Width,
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Height: detection.Height,
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ClassName: detection.ClassName,
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Confidence: detection.Confidence,
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Mask: mask,
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}
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}
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return c.JSON(200, response)
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}
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}
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