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@@ -38,9 +38,10 @@ AnomalyCLIP은 특정 객체에 의존하지 않는 텍스트 프롬프트를
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  - **Storage:** 1TB NVMe SSD + 2TB HDD
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  ### Software
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- - **OS:** Windows 11 64 bit
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- - **Python:** 3.9.18 (anaconda)
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- - **PyTorch:** 2.0.0
 
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  - **Cuda Toolkit:** 11.8
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  - **CudDNN:** 9.3.0.75 for cuda11
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@@ -82,11 +83,12 @@ AnomalyCLIP은 특정 객체에 의존하지 않는 텍스트 프롬프트를
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  # AD-CLIP Model Architecture
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  <div style="display: center; justify-content: center;">
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  <div style="text-align: center;">
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- <img src="https://cdn-uploads.huggingface.co/production/uploads/65e7d0935ea025ead9623dde/1wFBzBCgF4sOefROGE7RO.png" height="500" width="70%"">
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  <p>CLIP-based Anomaly Detection Model Architecture</p>
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  </div>
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  </div>
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  - **model:**
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  - input_layer:
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  - image_size: [640, 640, 3] # 표준 입력 이미지 크기
@@ -138,8 +140,16 @@ AnomalyCLIP은 특정 객체에 의존하지 않는 텍스트 프롬프트를
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  # 학습 성능 및 테스트 결과
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  - **학습성능 결과과 그래프**:
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- ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65e7d0935ea025ead9623dde/RduhNlkWiyPXj-vbAkJga.png)
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-
 
 
 
 
 
 
 
 
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  <div style="display: flex; justify-content: space-between;">
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  <div style="text-align: center; margin-right: 20px;">
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  <img src="https://cdn-uploads.huggingface.co/production/uploads/65e7d0935ea025ead9623dde/_lUD77x-yueXycuIn7jya.png" height="80%" width="100%" style="margin-right:5px;">
@@ -155,8 +165,15 @@ AnomalyCLIP은 특정 객체에 의존하지 않는 텍스트 프롬프트를
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  </div>
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  </div>
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- - **학습 결과표**:
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- ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65e7d0935ea025ead9623dde/kDxl9q6X2dxCRJm5nc7jR.png)
 
 
 
 
 
 
 
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  - **테스트 결과**:
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  <div style="display: flex; justify-content: space-between;">
 
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  - **Storage:** 1TB NVMe SSD + 2TB HDD
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  ### Software
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+ - **OS:** Windows 11 64 bit/ Ubuntu 20.04LTS
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+ - **Python:** 3.8 (anaconda)
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+ - **PyTorch:** 1.9.0
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+ - **OpenCV:** 4.5.3
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  - **Cuda Toolkit:** 11.8
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  - **CudDNN:** 9.3.0.75 for cuda11
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  # AD-CLIP Model Architecture
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  <div style="display: center; justify-content: center;">
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  <div style="text-align: center;">
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+ <img src="https://cdn-uploads.huggingface.co/production/uploads/65e7d0935ea025ead9623dde/62sYcSncxxzqGjQAa0MgQ.png" height="500" width="70%"">
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  <p>CLIP-based Anomaly Detection Model Architecture</p>
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  </div>
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  </div>
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+
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  - **model:**
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  - input_layer:
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  - image_size: [640, 640, 3] # 표준 입력 이미지 크기
 
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  # 학습 성능 및 테스트 결과
141
 
142
  - **학습성능 결과과 그래프**:
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+ <div style="display: flex; justify-content: space-between;">
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+ <div style="text-align: center; margin-right: 20px;">
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+ <img src="https://cdn-uploads.huggingface.co/production/uploads/65e7d0935ea025ead9623dde/7Q1RzKyia-WNSCJHnk2-d.png" height="80%" width="100%" style="margin-right:5px;">
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+ <p>학습 과정 예시 1</p>
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+ </div>
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+ <div style="text-align: center; margin-right: 20px;">
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+ <img src="https://cdn-uploads.huggingface.co/production/uploads/65e7d0935ea025ead9623dde/9PyBtPZMACgN1lJOqlVbG.png" height="80%" width="100%" style="margin-right:5px;">
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+ <p>학습 과정 예시 2</p>
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+ </div>
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+ </div>
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  <div style="display: flex; justify-content: space-between;">
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  <div style="text-align: center; margin-right: 20px;">
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  <img src="https://cdn-uploads.huggingface.co/production/uploads/65e7d0935ea025ead9623dde/_lUD77x-yueXycuIn7jya.png" height="80%" width="100%" style="margin-right:5px;">
 
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  </div>
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  </div>
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+ - **테스트 결과표**:
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+ <div style="display: flex; justify-content: space-between;">
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+ <div style="text-align: center; margin-right: 20px;">
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+ <img src="https://cdn-uploads.huggingface.co/production/uploads/65e7d0935ea025ead9623dde/u1DQHjXM41DMq1JIUOGlp.png" height="100%" width="100%" style="margin-right:5px;">
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+ </div>
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+ <div style="text-align: center; margin-right: 20px;">
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+ <img src="https://cdn-uploads.huggingface.co/production/uploads/65e7d0935ea025ead9623dde/ndQ60TKlheW8hmOrMBELU.png" height="100%" width="100%" style="margin-right:5px;">
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+ </div>
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+ </div>
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  - **테스트 결과**:
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  <div style="display: flex; justify-content: space-between;">