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Computer vision/.ipynb_checkpoints/R-CNN-checkpoint.ipynb

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},
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{
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"cell_type": "markdown",
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"id": "8dab6ce3",
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"id": "774f81fe",
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"metadata": {},
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"source": [
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"R-CNN의 논문 저자들은 2가지의 인사이트에 대해 설명한다.\n",
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},
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{
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"cell_type": "markdown",
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"id": "4b28e5c7",
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"id": "94cd02e5",
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"metadata": {},
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"source": [
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"<img src ='https://images.velog.io/images/skhim520/post/fa1ea5cf-6064-490d-ad52-dd6d5d00bbfe/image.png'>"
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]
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},
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{
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"cell_type": "markdown",
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"id": "6ae06e5b",
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"id": "e5b39be2",
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"metadata": {},
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"source": [
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"1. 이미지를 입력한다.\n",
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"4. 각 region마다 linear SVMs를 이용하여 class를 분류한다."
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},
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{
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"cell_type": "markdown",
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"id": "464e5748",
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"metadata": {},
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"source": [
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"참고자료 : https://velog.io/@skhim520/R-CNN-%EB%85%BC%EB%AC%B8-%EB%A6%AC%EB%B7%B0"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "5ef0597c",
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"id": "581a476d",
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"metadata": {},
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"outputs": [],
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"source": []

Computer vision/R-CNN.ipynb

Lines changed: 12 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -20,7 +20,7 @@
2020
},
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{
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"cell_type": "markdown",
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"id": "8dab6ce3",
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"id": "774f81fe",
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"metadata": {},
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"source": [
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"R-CNN의 논문 저자들은 2가지의 인사이트에 대해 설명한다.\n",
@@ -31,15 +31,15 @@
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},
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{
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"cell_type": "markdown",
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"id": "4b28e5c7",
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"id": "94cd02e5",
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"metadata": {},
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"source": [
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"<img src ='https://images.velog.io/images/skhim520/post/fa1ea5cf-6064-490d-ad52-dd6d5d00bbfe/image.png'>"
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]
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},
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{
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"cell_type": "markdown",
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"id": "6ae06e5b",
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"id": "e5b39be2",
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"metadata": {},
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"source": [
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"1. 이미지를 입력한다.\n",
@@ -51,10 +51,18 @@
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"4. 각 region마다 linear SVMs를 이용하여 class를 분류한다."
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]
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},
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{
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"cell_type": "markdown",
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"id": "464e5748",
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"metadata": {},
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"source": [
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"참고자료 : https://velog.io/@skhim520/R-CNN-%EB%85%BC%EB%AC%B8-%EB%A6%AC%EB%B7%B0"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "5ef0597c",
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"id": "581a476d",
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"metadata": {},
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"outputs": [],
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"source": []

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