chore(local-tool): 移除模型 FPS/latency/accuracy 預估值
使用者要求拿掉 FPS 預估數字（未經實測，不準確）。 - docs/LOCAL-TOOL-SPEC.md: 模型表格移除 FPS 欄位 - server/data/models.json: 7 個模型全部移除 fps / latencyMs / accuracy 欄位 前端 model-detail / model-card 有讀這些欄位的 UI，移除後會顯示 — 或不顯示 該列，不需要額外前端改動（已有 null/undefined fallback）。 Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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@ -126,20 +126,20 @@ visionA Local Tool 是 Kneron KL520 / KL720 邊緣 AI 推論硬體的**本機桌
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### KL520（4 個）
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### KL520（4 個）
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| 模型 ID | 名稱 | 任務 | 輸入 | FPS |
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| 模型 ID | 名稱 | 任務 | 輸入 |
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|---------|------|------|------|-----|
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|---------|------|------|------|
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| kl520-yolov5-detection | YOLOv5 Detection | 物件偵測 | 640×640 | ~20 |
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| kl520-yolov5-detection | YOLOv5 Detection | 物件偵測 | 640×640 |
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| kl520-fcos-detection | FCOS Detection | 物件偵測 | 512×512 | ~22 |
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| kl520-fcos-detection | FCOS Detection | 物件偵測 | 512×512 |
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| kl520-ssd-face-detection | SSD Face Detection | 人臉偵測 | 320×240 | ~100 |
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| kl520-ssd-face-detection | SSD Face Detection | 人臉偵測 | 320×240 |
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| kl520-tiny-yolov3 | Tiny YOLOv3 | 物件偵測 | 416×416 | ~28 |
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| kl520-tiny-yolov3 | Tiny YOLOv3 | 物件偵測 | 416×416 |
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### KL720（3 個）
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### KL720（3 個）
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| 模型 ID | 名稱 | 任務 | 輸入 | FPS |
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| 模型 ID | 名稱 | 任務 | 輸入 |
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|---------|------|------|------|-----|
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|---------|------|------|------|
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| kl720-yolov5-detection | YOLOv5 Detection | 物件偵測 | 640×640 | ~33 |
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| kl720-yolov5-detection | YOLOv5 Detection | 物件偵測 | 640×640 |
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| kl720-resnet18-classification | ResNet18 Classification | 分類（1000 類）| 224×224 | ~100 |
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| kl720-resnet18-classification | ResNet18 Classification | 分類（1000 類）| 224×224 |
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| kl720-fcos-detection | FCOS Detection | 物件偵測 | 512×512 | ~33 |
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| kl720-fcos-detection | FCOS Detection | 物件偵測 | 512×512 |
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---
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---
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@ -5,16 +5,32 @@
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"description": "YOLOv5 object detection model compiled for Kneron KL520. No upsample variant optimized for NPU inference at 640x640 resolution.",
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"description": "YOLOv5 object detection model compiled for Kneron KL520. No upsample variant optimized for NPU inference at 640x640 resolution.",
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"thumbnail": "/images/models/yolov5-det.png",
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"thumbnail": "/images/models/yolov5-det.png",
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"taskType": "object_detection",
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"taskType": "object_detection",
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"categories": ["general", "multi-object"],
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"categories": [
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"general",
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"multi-object"
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],
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"framework": "NEF",
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"framework": "NEF",
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"inputSize": {"width": 640, "height": 640},
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"inputSize": {
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"width": 640,
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"height": 640
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},
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"modelSize": 7200000,
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"modelSize": 7200000,
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"quantization": "INT8",
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"quantization": "INT8",
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"accuracy": 0.80,
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"supportedHardware": [
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"latencyMs": 50,
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"KL520"
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"fps": 20,
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],
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"supportedHardware": ["KL520"],
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"labels": [
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"labels": ["person", "bicycle", "car", "motorcycle", "airplane", "bus", "train", "truck", "boat", "traffic light"],
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"person",
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"bicycle",
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"car",
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"motorcycle",
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"airplane",
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"bus",
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"train",
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"truck",
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"boat",
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"traffic light"
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],
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"filePath": "data/nef/kl520/kl520_20005_yolov5-noupsample_w640h640.nef",
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"filePath": "data/nef/kl520/kl520_20005_yolov5-noupsample_w640h640.nef",
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"version": "1.0.0",
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"version": "1.0.0",
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"author": "Kneron",
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"author": "Kneron",
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@ -28,16 +44,32 @@
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"description": "FCOS (Fully Convolutional One-Stage) object detection with DarkNet53s backbone, compiled for KL520. Anchor-free detection at 512x512.",
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"description": "FCOS (Fully Convolutional One-Stage) object detection with DarkNet53s backbone, compiled for KL520. Anchor-free detection at 512x512.",
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"thumbnail": "/images/models/fcos-det.png",
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"thumbnail": "/images/models/fcos-det.png",
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"taskType": "object_detection",
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"taskType": "object_detection",
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"categories": ["general", "multi-object"],
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"categories": [
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"general",
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"multi-object"
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],
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"framework": "NEF",
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"framework": "NEF",
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"inputSize": {"width": 512, "height": 512},
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"inputSize": {
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"width": 512,
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"height": 512
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},
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"modelSize": 8900000,
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"modelSize": 8900000,
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"quantization": "INT8",
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"quantization": "INT8",
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"accuracy": 0.78,
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"supportedHardware": [
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"latencyMs": 45,
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"KL520"
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"fps": 22,
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],
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"supportedHardware": ["KL520"],
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"labels": [
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"labels": ["person", "bicycle", "car", "motorcycle", "airplane", "bus", "train", "truck", "boat", "traffic light"],
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"person",
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"bicycle",
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"car",
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"motorcycle",
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"airplane",
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"bus",
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"train",
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"truck",
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"boat",
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"traffic light"
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],
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"filePath": "data/nef/kl520/kl520_20004_fcos-drk53s_w512h512.nef",
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"filePath": "data/nef/kl520/kl520_20004_fcos-drk53s_w512h512.nef",
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"version": "1.0.0",
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"version": "1.0.0",
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"author": "Kneron",
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"author": "Kneron",
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@ -51,16 +83,23 @@
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"description": "SSD-based face detection with landmark localization, compiled for KL520. Lightweight model suitable for face detection and alignment tasks.",
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"description": "SSD-based face detection with landmark localization, compiled for KL520. Lightweight model suitable for face detection and alignment tasks.",
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"thumbnail": "/images/models/ssd-face.png",
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"thumbnail": "/images/models/ssd-face.png",
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"taskType": "object_detection",
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"taskType": "object_detection",
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"categories": ["face", "security"],
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"categories": [
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"face",
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"security"
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],
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"framework": "NEF",
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"framework": "NEF",
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"inputSize": {"width": 320, "height": 240},
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"inputSize": {
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"width": 320,
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"height": 240
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},
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"modelSize": 1000000,
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"modelSize": 1000000,
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"quantization": "INT8",
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"quantization": "INT8",
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"accuracy": 0.85,
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"supportedHardware": [
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"latencyMs": 10,
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"KL520"
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"fps": 100,
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],
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"supportedHardware": ["KL520"],
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"labels": [
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"labels": ["face"],
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"face"
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],
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"filePath": "data/nef/kl520/kl520_ssd_fd_lm.nef",
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"filePath": "data/nef/kl520/kl520_ssd_fd_lm.nef",
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"version": "1.0.0",
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"version": "1.0.0",
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"author": "Kneron",
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"author": "Kneron",
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"description": "Tiny YOLOv3 object detection model compiled for KL520. Compact and fast model for general-purpose multi-object detection on edge devices.",
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"description": "Tiny YOLOv3 object detection model compiled for KL520. Compact and fast model for general-purpose multi-object detection on edge devices.",
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"thumbnail": "/images/models/tiny-yolov3.png",
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"thumbnail": "/images/models/tiny-yolov3.png",
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"taskType": "object_detection",
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"taskType": "object_detection",
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"categories": ["general", "multi-object"],
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"categories": [
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"general",
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"multi-object"
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],
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"framework": "NEF",
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"framework": "NEF",
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"inputSize": {"width": 416, "height": 416},
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"inputSize": {
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"width": 416,
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"height": 416
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},
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"modelSize": 9400000,
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"modelSize": 9400000,
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"quantization": "INT8",
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"quantization": "INT8",
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"accuracy": 0.75,
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"supportedHardware": [
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"latencyMs": 35,
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"KL520"
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"fps": 28,
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],
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"supportedHardware": ["KL520"],
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"labels": [
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"labels": ["person", "bicycle", "car", "motorcycle", "airplane", "bus", "train", "truck", "boat", "traffic light"],
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"person",
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"bicycle",
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"car",
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"motorcycle",
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"airplane",
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"bus",
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"train",
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"truck",
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"boat",
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"traffic light"
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],
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"filePath": "data/nef/kl520/kl520_tiny_yolo_v3.nef",
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"filePath": "data/nef/kl520/kl520_tiny_yolo_v3.nef",
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"version": "1.0.0",
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"version": "1.0.0",
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"author": "Kneron",
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"author": "Kneron",
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@ -97,16 +152,32 @@
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"description": "YOLOv5 object detection model compiled for Kneron KL720. No upsample variant optimized for KL720 NPU inference at 640x640 resolution with USB 3.0 throughput.",
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"description": "YOLOv5 object detection model compiled for Kneron KL720. No upsample variant optimized for KL720 NPU inference at 640x640 resolution with USB 3.0 throughput.",
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"thumbnail": "/images/models/yolov5-det.png",
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"thumbnail": "/images/models/yolov5-det.png",
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"taskType": "object_detection",
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"taskType": "object_detection",
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"categories": ["general", "multi-object"],
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"categories": [
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"general",
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"multi-object"
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],
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"framework": "NEF",
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"framework": "NEF",
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"inputSize": {"width": 640, "height": 640},
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"inputSize": {
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"width": 640,
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"height": 640
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},
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"modelSize": 10168348,
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"modelSize": 10168348,
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"quantization": "INT8",
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"quantization": "INT8",
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"accuracy": 0.82,
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"supportedHardware": [
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"latencyMs": 30,
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"KL720"
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"fps": 33,
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],
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"supportedHardware": ["KL720"],
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"labels": [
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"labels": ["person", "bicycle", "car", "motorcycle", "airplane", "bus", "train", "truck", "boat", "traffic light"],
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"person",
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"bicycle",
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"car",
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"motorcycle",
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"airplane",
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"bus",
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"train",
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"truck",
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"boat",
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"traffic light"
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],
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"filePath": "data/nef/kl720/kl720_20005_yolov5-noupsample_w640h640.nef",
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"filePath": "data/nef/kl720/kl720_20005_yolov5-noupsample_w640h640.nef",
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"version": "1.0.0",
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"version": "1.0.0",
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"author": "Kneron",
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"author": "Kneron",
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"description": "ResNet18-based image classification compiled for KL720. Supports 1000 ImageNet categories with fast inference via USB 3.0.",
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"description": "ResNet18-based image classification compiled for KL720. Supports 1000 ImageNet categories with fast inference via USB 3.0.",
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"thumbnail": "/images/models/imagenet-cls.png",
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"thumbnail": "/images/models/imagenet-cls.png",
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"taskType": "classification",
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"taskType": "classification",
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"categories": ["general", "image-classification"],
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"categories": [
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"general",
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"image-classification"
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],
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"framework": "NEF",
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"framework": "NEF",
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"inputSize": {"width": 224, "height": 224},
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"inputSize": {
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"width": 224,
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"height": 224
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},
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"modelSize": 12826804,
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"modelSize": 12826804,
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"quantization": "INT8",
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"quantization": "INT8",
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"accuracy": 0.78,
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"supportedHardware": [
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"latencyMs": 10,
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"KL720"
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"fps": 100,
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],
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"supportedHardware": ["KL720"],
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"labels": [
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"labels": ["airplane", "automobile", "bird", "cat", "deer", "dog", "frog", "horse", "ship", "truck"],
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"airplane",
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"automobile",
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"bird",
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"cat",
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"deer",
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"dog",
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"frog",
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"horse",
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"ship",
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"truck"
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],
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"filePath": "data/nef/kl720/kl720_20001_resnet18_w224h224.nef",
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"filePath": "data/nef/kl720/kl720_20001_resnet18_w224h224.nef",
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"version": "1.0.0",
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"version": "1.0.0",
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"author": "Kneron",
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"author": "Kneron",
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"description": "FCOS (Fully Convolutional One-Stage) object detection with DarkNet53s backbone, compiled for KL720. Anchor-free detection at 512x512.",
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"description": "FCOS (Fully Convolutional One-Stage) object detection with DarkNet53s backbone, compiled for KL720. Anchor-free detection at 512x512.",
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"thumbnail": "/images/models/fcos-det.png",
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"thumbnail": "/images/models/fcos-det.png",
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"taskType": "object_detection",
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"taskType": "object_detection",
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"categories": ["general", "multi-object"],
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"categories": [
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"general",
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"multi-object"
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],
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"framework": "NEF",
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"framework": "NEF",
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"inputSize": {"width": 512, "height": 512},
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"inputSize": {
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"width": 512,
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"height": 512
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},
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"modelSize": 13004640,
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"modelSize": 13004640,
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"quantization": "INT8",
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"quantization": "INT8",
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"accuracy": 0.80,
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"supportedHardware": [
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"latencyMs": 30,
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"KL720"
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"fps": 33,
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],
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"supportedHardware": ["KL720"],
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"labels": [
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"labels": ["person", "bicycle", "car", "motorcycle", "airplane", "bus", "train", "truck", "boat", "traffic light"],
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"person",
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"bicycle",
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"car",
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"motorcycle",
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"airplane",
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"bus",
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"train",
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"truck",
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"boat",
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"traffic light"
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],
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"filePath": "data/nef/kl720/kl720_20004_fcos-drk53s_w512h512.nef",
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"filePath": "data/nef/kl720/kl720_20004_fcos-drk53s_w512h512.nef",
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"version": "1.0.0",
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"version": "1.0.0",
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"author": "Kneron",
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"author": "Kneron",
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