Udemy - Video Segmentation with Python using Deep Learning Real-Time

Files Included :

1 - Introduction.mp4 (95.56 MB)
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13 - Deploy Trained Instance Segmentation Model.mp4 (30.84 MB)
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Cars On Road.mp4 (3.82 MB)
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Highway Traffic.mp4 (34.04 MB)
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15 - Overview of CNN RCNN Fast RCNN and Faster RCNN.mp4 (213.41 MB)
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16 - Introduction to Mask RCNN for Instance Segmentation.mp4 (23.51 MB)
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17 - Get Started with PyTorch Facebook Library.mp4 (125.86 MB)
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18 - Custom Dataset for Instance Segmentation.mp4 (151.16 MB)
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19 - Train Evaluate Visualize Instance Segmentation on Custom Dataset.mp4 (305.43 MB)
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2 - What is Instance Segmentation.mp4 (50.64 MB)
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3 - Introduction to YOLO and its Architecture.mp4 (18.36 MB)
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4 - Introduction to YOLOv8 for Realtime Video Instance Segmentation.mp4 (80.66 MB)
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5 - Vehicles Dataset for Instance Segmentation.mp4 (50.92 MB)
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Cars On Road.mp4 (3.82 MB)
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Highway Traffic.mp4 (34.04 MB)
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7 - Google Colab for Writing Python Code.mp4 (16.65 MB)
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8 - Connect Google Colab With Google Drive To Read And Write Data.mp4 (9.59 MB)
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9 - HyperParameters for Training Instance Segmentation YOLO8 Model.mp4 (114.18 MB)
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10 - Training YOLOv8 for Vehicles Instance Segmentation.mp4 (101.62 MB)
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11 - Testing Segmentation YOLOv8 on Images.mp4 (30.89 MB)
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12 - Testing Segmentation YOLOv8 on Videos.mp4 (78.94 MB)
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