jim800121chen
c54f16fca0
local-tool/: visionA-local desktop app
- M1: Wails shell + Go server + Next.js UI + Mock mode (macOS dmg ready)
- M2: i18n (zh-TW/en) + Settings 4-tab refactor
- M3: Embedded Python 3.12 runtime (python-build-standalone) + KneronPLUS wheels
- M4: Windows Inno Setup script (build on Windows runner)
- M5: Linux AppImage script + udev rule (build on Linux runner)
- M6: ffmpeg (GPL, pending legal review) + yt-dlp bundled
- Lifecycle: watchServer health check, fatal native dialog,
Wails IPC raise endpoint, stale process cleanup
.autoflow/: full PRD / Design Spec / Architecture / Testing docs
(4 rounds tri-party discussion + cross review)
.github/workflows/: macOS / Windows / Linux build CI
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
91 lines
2.7 KiB
Go
91 lines
2.7 KiB
Go
package driver
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import "time"
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type DeviceDriver interface {
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Info() DeviceInfo
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Connect() error
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Disconnect() error
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IsConnected() bool
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Flash(modelPath string, progressCh chan<- FlashProgress) error
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StartInference() error
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StopInference() error
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ReadInference() (*InferenceResult, error)
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RunInference(imageData []byte) (*InferenceResult, error)
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GetModelInfo() (*ModelInfo, error)
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}
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type DeviceInfo struct {
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ID string `json:"id"`
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Name string `json:"name"`
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Type string `json:"type"`
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Port string `json:"port"`
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VendorID uint16 `json:"vendorId,omitempty"`
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ProductID uint16 `json:"productId,omitempty"`
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Status DeviceStatus `json:"status"`
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FirmwareVer string `json:"firmwareVersion,omitempty"`
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FlashedModel string `json:"flashedModel,omitempty"`
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}
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type DeviceStatus string
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const (
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StatusDetected DeviceStatus = "detected"
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StatusConnecting DeviceStatus = "connecting"
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StatusConnected DeviceStatus = "connected"
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StatusFlashing DeviceStatus = "flashing"
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StatusInferencing DeviceStatus = "inferencing"
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StatusError DeviceStatus = "error"
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StatusDisconnected DeviceStatus = "disconnected"
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)
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type FlashProgress struct {
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Percent int `json:"percent"`
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Stage string `json:"stage"`
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Message string `json:"message,omitempty"`
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Error string `json:"error,omitempty"`
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}
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type InferenceResult struct {
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DeviceID string `json:"deviceId,omitempty"`
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ModelID string `json:"modelId,omitempty"`
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TaskType string `json:"taskType"`
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Timestamp int64 `json:"timestamp"`
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LatencyMs float64 `json:"latencyMs"`
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Classifications []ClassResult `json:"classifications,omitempty"`
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Detections []DetectionResult `json:"detections,omitempty"`
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// Batch image fields (omitted for single-image/camera/video modes)
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ImageIndex int `json:"imageIndex,omitempty"`
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TotalImages int `json:"totalImages,omitempty"`
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Filename string `json:"filename,omitempty"`
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// Video progress fields (omitted for non-video modes)
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FrameIndex int `json:"frameIndex,omitempty"`
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TotalFrames int `json:"totalFrames,omitempty"`
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}
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type ClassResult struct {
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Label string `json:"label"`
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Confidence float64 `json:"confidence"`
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}
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type DetectionResult struct {
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Label string `json:"label"`
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Confidence float64 `json:"confidence"`
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BBox BBox `json:"bbox"`
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}
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type BBox struct {
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X float64 `json:"x"`
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Y float64 `json:"y"`
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Width float64 `json:"width"`
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Height float64 `json:"height"`
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}
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type ModelInfo struct {
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ID string `json:"id"`
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Name string `json:"name"`
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LoadedAt time.Time `json:"loadedAt"`
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}
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