mirror of
https://github.com/mudler/LocalAI.git
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089efe05fd
- Add a system backend path - Refactor and consolidate system information in system state - Use system state in all the components to figure out the system paths to used whenever needed - Refactor BackendConfig -> ModelConfig. This was otherway misleading as now we do have a backend configuration which is not the model config. Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
60 lines
1.8 KiB
Go
60 lines
1.8 KiB
Go
package localai
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import (
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"github.com/gofiber/fiber/v2"
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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/LocalAI/pkg/utils"
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"github.com/rs/zerolog/log"
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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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// @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) func(c *fiber.Ctx) error {
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return func(c *fiber.Ctx) error {
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input, ok := c.Locals(middleware.CONTEXT_LOCALS_KEY_LOCALAI_REQUEST).(*schema.DetectionRequest)
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if !ok || input.Model == "" {
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return fiber.ErrBadRequest
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}
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cfg, ok := c.Locals(middleware.CONTEXT_LOCALS_KEY_MODEL_CONFIG).(*config.ModelConfig)
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if !ok || cfg == nil {
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return fiber.ErrBadRequest
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}
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log.Debug().Str("image", input.Image).Str("modelFile", "modelFile").Str("backend", cfg.Backend).Msg("Detection")
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image, err := utils.GetContentURIAsBase64(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(image, ml, appConfig, *cfg)
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if err != nil {
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return 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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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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}
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}
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return c.JSON(response)
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}
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}
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