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Expand All @@ -30,27 +23,14 @@
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"device: cpu | torch 2.13.0+cpu | ultralytics 8.4.155\n"
"device: cuda | torch 2.14.0+cu126 | ultralytics 8.4.173\n"
]
}
],
Expand Down Expand Up @@ -81,13 +61,6 @@
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Expand All @@ -101,19 +74,6 @@
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Expand Down Expand Up @@ -186,13 +146,6 @@
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Expand All @@ -206,19 +159,6 @@
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Expand Down Expand Up @@ -259,13 +199,6 @@
"cell_type": "markdown",
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Expand All @@ -279,35 +212,22 @@
"execution_count": 4,
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"text": [
"budget commun 4.2f / 4.2g / 4.2h : 1000 images x 6 epoques\n"
"budget commun 4.5 / 4.5b / 4.5c : 1000 images x 6 epoques\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"yolov5nu fine-tune termine en 81.0 s, params=2,508,659, GFLOPs=0.2\n"
"yolov5nu fine-tune termine en 97.6 s, params=2,508,659, GFLOPs=0.2\n"
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Expand Down Expand Up @@ -342,13 +262,6 @@
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Expand All @@ -362,27 +275,14 @@
"execution_count": 5,
"id": "fd37fc57",
"metadata": {
"execution": {
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{
"name": "stdout",
"output_type": "stream",
"text": [
"yolov5nu mAP@0.5 sur 400 images / 817 objets GT : VOC07 11-point 0.909 | VOC10 all-point 0.975\n"
"yolov5nu mAP@0.5 sur 400 images / 817 objets GT : VOC07 11-point 0.909 | VOC10 all-point 0.991\n"
]
}
],
Expand Down Expand Up @@ -465,13 +365,6 @@
"cell_type": "markdown",
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Expand All @@ -495,19 +388,6 @@
"execution_count": 6,
"id": "7edf1c58",
"metadata": {
"execution": {
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"outputs": [
Expand All @@ -521,12 +401,12 @@
" IoU=0.60 AP11 = 0.909\n",
" IoU=0.65 AP11 = 0.909\n",
" IoU=0.70 AP11 = 0.909\n",
" IoU=0.75 AP11 = 0.908\n",
" IoU=0.80 AP11 = 0.908\n",
" IoU=0.85 AP11 = 0.907\n",
" IoU=0.90 AP11 = 0.903\n",
" IoU=0.95 AP11 = 0.772\n",
" mAP@0.5:0.95 = 0.894\n",
" IoU=0.75 AP11 = 0.909\n",
" IoU=0.80 AP11 = 0.909\n",
" IoU=0.85 AP11 = 0.909\n",
" IoU=0.90 AP11 = 0.905\n",
" IoU=0.95 AP11 = 0.757\n",
" mAP@0.5:0.95 = 0.893\n",
" regression OK : AP07@0.5 = 0.909 ~ 0.909 (delta +0.0001)\n"
]
}
Expand Down Expand Up @@ -594,13 +474,6 @@
"cell_type": "markdown",
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Expand All @@ -618,19 +491,6 @@
"execution_count": 7,
"id": "334dcd10",
"metadata": {
"execution": {
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},
"tags": []
},
"outputs": [
Expand All @@ -640,9 +500,9 @@
"text": [
"\n",
"modele params GFLOPs VOC07 VOC10 ms/img budget\n",
"4.2g yolo11n 2,590,035 0.1 0.909 0.989 10.3 1000 x 6 en 57 s\n",
"4.2g yolo11s 9,428,179 0.5 0.909 0.993 10.8 1000 x 6 en 54 s\n",
"4.2h yolov5nu 2,508,659 0.2 0.909 0.975 7.4 1000 x 6 en 81 s\n"
"4.5b yolo11n 2,590,035 0.1 0.909 0.989 10.3 1000 x 6 en 57 s\n",
"4.5b yolo11s 9,428,179 0.5 0.909 0.993 10.8 1000 x 6 en 54 s\n",
"4.5c yolov5nu 2,508,659 0.2 0.909 0.991 29.7 1000 x 6 en 98 s\n"
]
}
],
Expand Down Expand Up @@ -677,13 +537,6 @@
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Expand All @@ -700,13 +553,6 @@
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Expand Down Expand Up @@ -734,19 +580,7 @@
"name": "python",
"nbconvert_exporter": "python",
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"version": "3.11"
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"duration": 130.532183,
"end_time": "2026-09-19T22:33:05.039669",
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"input_path": "MyIA.AI.Notebooks/ML/DataScienceWithAgents/04-Vision/4.5c-YOLOv5-Bench-Ultralytics.ipynb",
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"version": "2.7.0"
"version": "3.13.15"
}
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"nbformat": 4,
Expand Down
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