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84.6 KB
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1. Course Starter - How to approach the course.mp4
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MP4
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18.6 MB
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1. Course Starter - How to approach the course.srt
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SRT
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6.8 KB
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1. Objectives.mp4
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MP4
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2 MB
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1. Objectives.srt
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SRT
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1.1 KB
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1
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101.2 KB
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10. Code Download Instructions.mp4
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MP4
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2.4 MB
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10. Code Download Instructions.srt
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SRT
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1.2 KB
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10. Code Walkthrough.mp4
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MP4
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74.5 MB
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10. Code Walkthrough.srt
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SRT
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11.4 KB
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10.1 Dataset.zip
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ZIP
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90.5 MB
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10.1 Traffic_Sign_Detection_and_Training_using_SVM.zip
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ZIP
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26.7 MB
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10.2 Image_Classification_ResNet152V2.ipynb
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IPYNB
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696.3 KB
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11. Code Download Instructions.mp4
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MP4
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2 MB
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11. Code Download Instructions.srt
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SRT
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921.6 B
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11.1 License_Number_Plate_ Detection_YOLOv3.zip
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ZIP
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227.4 MB
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11.1 object_tracking.zip
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ZIP
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235.6 MB
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12. Objectives.mp4
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MP4
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984.9 KB
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12. Objectives.srt
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SRT
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819.2 B
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13. Project Overview.mp4
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MP4
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9.5 MB
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13. Project Overview.srt
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SRT
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1.5 KB
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14. Code Walkthrough.mp4
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MP4
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82.7 MB
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14. Code Walkthrough.srt
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SRT
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8.8 KB
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15. Code Download Instructions.mp4
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MP4
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2 MB
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15. Code Download Instructions.srt
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SRT
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1 KB
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15.1 darknet53.conv.74.zip
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ZIP
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144.1 MB
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15.2 my_data.zip
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ZIP
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2.1 KB
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15.3 test.zip
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ZIP
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5 MB
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15.4 train.zip
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ZIP
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18.2 MB
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15.5 YOLOv3_training_for_License_Number_Plate.ipynb
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IPYNB
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850.2 KB
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2. Artificial Intelligence Overview.mp4
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MP4
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6.3 MB
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2. Artificial Intelligence Overview.srt
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SRT
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2.8 KB
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2. Image Classification Overview.mp4
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MP4
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8.2 MB
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2. Image Classification Overview.srt
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SRT
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2.5 KB
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2. Object Detection Overview.mp4
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MP4
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5.6 MB
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2. Object Detection Overview.srt
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SRT
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2.8 KB
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2. Object Tracking.mp4
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MP4
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35.7 MB
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2. Object Tracking.srt
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SRT
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3.1 KB
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2. Project Overview.mp4
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MP4
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12.1 MB
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2. Project Overview.srt
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SRT
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1.4 KB
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2. RetinaNet.mp4
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MP4
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5.7 MB
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2. RetinaNet.srt
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SRT
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1.6 KB
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2. Tools Setup - Ubuntu.mp4
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MP4
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2.1 MB
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2. Tools Setup - Ubuntu.srt
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SRT
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1.3 KB
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2. VGG-16 Model.mp4
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MP4
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10.4 MB
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2. VGG-16 Model.srt
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SRT
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3.5 KB
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2. What is a Neuron.mp4
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MP4
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4.6 MB
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2. What is a Neuron.srt
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SRT
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2.3 KB
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2
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322.8 KB
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2.1 Tools Setup Manual_Ubuntu.docx
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DOCX
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13.6 KB
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3. Code Walkthrough.mp4
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MP4
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71.9 MB
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3. Code Walkthrough.srt
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SRT
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11.3 KB
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3. Image Classification Pipeline.mp4
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MP4
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5.3 MB
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3. Image Classification Pipeline.srt
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SRT
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2.8 KB
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3. Neuron Architecture.mp4
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MP4
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3.8 MB
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3. Neuron Architecture.srt
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SRT
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1.7 KB
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3. Object Detection Architecture.mp4
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MP4
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6.8 MB
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3. Object Detection Architecture.srt
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SRT
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1.8 KB
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3. ResNet50 Model.mp4
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MP4
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19.8 MB
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3. Single Object Tracking and Multiple Object Tracking.mp4
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MP4
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6.8 MB
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3
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359.7 KB
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3. ResNet50 Model.srt
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SRT
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4.5 KB
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3. SSD MODEL.mp4
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MP4
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11.1 MB
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3. SSD MODEL.srt
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SRT
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3 KB
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3. Single Object Tracking and Multiple Object Tracking.srt
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SRT
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2.6 KB
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3. Tools Setup - Windows.mp4
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MP4
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1.9 MB
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3. Tools Setup - Windows.srt
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SRT
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1.1 KB
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3. What is Computer Vision .mp4
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MP4
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5.3 MB
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3. What is Computer Vision .srt
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SRT
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2.6 KB
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3.1 Tools Setup Manual_Windows.docx
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DOCX
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16.3 KB
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4
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241.9 KB
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4. Artificial Neural Network.mp4
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MP4
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14.6 MB
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4. Artificial Neural Network.srt
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SRT
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3.6 KB
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4. Code Download Instructions.mp4
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MP4
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2.9 MB
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4. Code Download Instructions.srt
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SRT
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1.5 KB
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4. Image Basics.mp4
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MP4
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24.9 MB
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4. Image Basics.srt
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SRT
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6.2 KB
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4. Inceptionv3 Model.mp4
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MP4
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12.6 MB
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4. Inceptionv3 Model.srt
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SRT
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3.3 KB
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4. Meanshift Algorithm.mp4
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MP4
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7.7 MB
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4. Meanshift Algorithm.srt
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SRT
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3.3 KB
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4. Object Detection vs Object Tracking.mp4
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MP4
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5.7 MB
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4. Object Detection vs Object Tracking.srt
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SRT
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2.7 KB
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4. Support Vector Machine(SVM).mp4
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MP4
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9.3 MB
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4. Support Vector Machine(SVM).srt
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SRT
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3.2 KB
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4. Using Pycharm for Coding.mp4
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MP4
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29.7 MB
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4. Using Pycharm for Coding.srt
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SRT
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7.6 KB
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4. YOLO V3 Model.mp4
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MP4
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27.1 MB
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4. YOLO V3 Model.srt
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SRT
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6.2 KB
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4.1 Faster-RCNN.zip
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ZIP
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187.2 MB
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5
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325.2 KB
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5. Convolutional Neural Network.mp4
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MP4
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19.9 MB
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5. Convolutional Neural Network.srt
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SRT
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7.2 KB
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5. Decision Tree.mp4
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MP4
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11.7 MB
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5. Decision Tree.srt
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SRT
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4.9 KB
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5. EfficientNet Model.mp4
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MP4
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8.8 MB
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5. EfficientNet Model.srt
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SRT
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2.5 KB
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5. R-CNN MODEL.mp4
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MP4
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12.7 MB
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5. R-CNN MODEL.srt
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SRT
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2.7 KB
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5. SORT Framework.mp4
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MP4
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5.3 MB
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5. SORT Framework.srt
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SRT
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3.1 KB
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5. Using Jupyter Notebook and Shortcuts.mp4
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MP4
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8.3 MB
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5. Using Jupyter Notebook and Shortcuts.srt
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SRT
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2 KB
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5. YOLO V3 TINY MODEL.mp4
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MP4
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6.5 MB
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5. YOLO V3 TINY MODEL.srt
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SRT
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2.1 KB
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6
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476.2 KB
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6. Activation Function.mp4
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MP4
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4.6 MB
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6. Activation Function.srt
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SRT
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3.1 KB
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6. DeepSort Framework.mp4
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MP4
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10.3 MB
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6. DeepSort Framework.srt
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SRT
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4.8 KB
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6. FAST R-CNN MODEL.mp4
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MP4
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9.5 MB
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6. FAST R-CNN MODEL.srt
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SRT
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2 KB
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6. K Nearest Neighbor(KNN).mp4
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MP4
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7 MB
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6. K Nearest Neighbor(KNN).srt
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SRT
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3.5 KB
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6. Quiz on Image Classification.html
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HTML
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204.8 B
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6. Using Google Colab.mp4
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MP4
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38.4 MB
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6. Using Google Colab.srt
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SRT
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12.4 KB
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6. YOLOV4 Model.mp4
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MP4
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22.4 MB
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6. YOLOV4 Model.srt
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SRT
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4.6 KB
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7. Objectives.mp4
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MP4
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1 MB
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7. Objectives.srt
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SRT
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921.6 B
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7. Quiz on Object Detection Concepts.html
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HTML
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204.8 B
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7. Quiz on Object Tracking.html
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HTML
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204.8 B
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7. Region Proposal Network (RPN).mp4
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MP4
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11.6 MB
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7. Region Proposal Network (RPN).srt
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SRT
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3.9 KB
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7
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278.2 KB
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8
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478 KB
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8. FASTER R-CNN MODEL.mp4
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MP4
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14.1 MB
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8. FASTER R-CNN MODEL.srt
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SRT
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2.8 KB
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8. Objectives.mp4
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MP4
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955.9 KB
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8. Objectives.srt
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SRT
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921.6 B
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8. Project Overview.mp4
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MP4
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9.5 MB
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8. Project Overview.srt
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SRT
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1.6 KB
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9
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103.3 KB
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9. Code Walkthrough.mp4
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MP4
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101.3 MB
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9. Code Walkthrough.srt
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SRT
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14.3 KB
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9. Project Overview.mp4
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MP4
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10.1 MB
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9. Project Overview.srt
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SRT
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1.8 KB
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9. R-FCN MODEL.mp4
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MP4
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5.4 MB
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9. R-FCN MODEL.srt
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SRT
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2.2 KB
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TutsNode.com.txt
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TXT
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102.4 B
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[TGx]Downloaded from torrentgalaxy.to .txt
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TXT
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614.4 B
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10
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271.9 KB
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11
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58.3 KB
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12
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349.3 KB
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13
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305.2 KB
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14
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364.8 KB
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15
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301.1 KB
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