wehub-resource-sync
63 lines
1.4 KiB
Go
63 lines
1.4 KiB
Go
package backend
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import (
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"context"
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"fmt"
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"time"
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"github.com/mudler/LocalAI/core/config"
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"github.com/mudler/LocalAI/core/trace"
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"github.com/mudler/LocalAI/pkg/grpc/proto"
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"github.com/mudler/LocalAI/pkg/model"
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)
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func FaceVerify(
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ctx context.Context,
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img1, img2 string,
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threshold float32,
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antiSpoofing bool,
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loader *model.ModelLoader,
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appConfig *config.ApplicationConfig,
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modelConfig config.ModelConfig,
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) (*proto.FaceVerifyResponse, error) {
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opts := ModelOptions(modelConfig, appConfig)
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faceModel, err := loader.Load(opts...)
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if err != nil {
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recordModelLoadFailure(appConfig, modelConfig.Name, modelConfig.Backend, err, nil)
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return nil, err
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}
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if faceModel == nil {
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return nil, fmt.Errorf("could not load face recognition model")
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}
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var startTime time.Time
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if appConfig.EnableTracing {
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trace.InitBackendTracingIfEnabled(appConfig.TracingMaxItems, appConfig.TracingMaxBodyBytes)
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startTime = time.Now()
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}
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res, err := faceModel.FaceVerify(ctx, &proto.FaceVerifyRequest{
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Img1: img1,
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Img2: img2,
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Threshold: threshold,
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AntiSpoofing: antiSpoofing,
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})
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if appConfig.EnableTracing {
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errStr := ""
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if err != nil {
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errStr = err.Error()
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}
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trace.RecordBackendTrace(trace.BackendTrace{
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Timestamp: startTime,
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Duration: time.Since(startTime),
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Type: trace.BackendTraceFaceVerify,
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ModelName: modelConfig.Name,
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Backend: modelConfig.Backend,
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Error: errStr,
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})
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}
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return res, err
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}
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