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[Udemy] Automatic Number Plate Recognition, OCR Web App in Python (04.2021)

文件类型 收录时间 最后活跃 资源热度 文件大小 文件数量
视频 2021-12-26 07:57 2024-6-29 08:04 237 1.6 GB 39
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Udemy Automatic Number Plate Recognition OCR Web App in Python 04 2021

文件列表
  1. 1. Introduction/1. Project Architecture.mp412.49MB
  2. 2. Labeling/1. Get the Data.mp418.58MB
  3. 2. Labeling/2. Download Image Annotation Tool.mp422.78MB
  4. 2. Labeling/3. Install Dependencies.mp440.33MB
  5. 2. Labeling/4. Label Images.mp432.08MB
  6. 2. Labeling/5. XML to CSV.mp481.86MB
  7. 3. Data Processing/1. Read Data.mp461.14MB
  8. 3. Data Processing/2. Verify Labeled Data.mp448.62MB
  9. 3. Data Processing/3. Data Preprocessing.mp483.36MB
  10. 3. Data Processing/4. Split train and test set.mp427.4MB
  11. 4. Deep Learning for Object Detection/1. Get Transfer Learning from TensorFlow 2.x.mp417.43MB
  12. 4. Deep Learning for Object Detection/2. InceptionResnet V2 model building.mp445MB
  13. 4. Deep Learning for Object Detection/3. Defining Inputs and Outputs.mp414.45MB
  14. 4. Deep Learning for Object Detection/4. Compiling Model.mp423.94MB
  15. 4. Deep Learning for Object Detection/5. InceptionResnet V2 Training.mp421.48MB
  16. 4. Deep Learning for Object Detection/6. InceptionResnet V2 Training - Part 2.mp424.6MB
  17. 4. Deep Learning for Object Detection/7. Save Deep Learning Model.mp424.07MB
  18. 4. Deep Learning for Object Detection/8. Tensorboard.mp428.23MB
  19. 5. Pipeline Object Detection Model/1. Make Predictions.mp474.93MB
  20. 5. Pipeline Object Detection Model/2. Make Predictions part2.mp430.03MB
  21. 5. Pipeline Object Detection Model/3. De-normalize the Output.mp430.59MB
  22. 5. Pipeline Object Detection Model/4. Bounding Box.mp439.08MB
  23. 5. Pipeline Object Detection Model/5. Create Pipeline.mp455.4MB
  24. 6. Optical Character Recognition (OCR)/1. Install Tesseract.mp447.8MB
  25. 6. Optical Character Recognition (OCR)/2. Install Pytesseract.mp412.98MB
  26. 6. Optical Character Recognition (OCR)/3. Exrtract Number Plate text from Image.mp467.37MB
  27. 7. Flask App/1. Install Visual Studio Code.mp438.79MB
  28. 7. Flask App/2. First Flask App.mp438.2MB
  29. 7. Flask App/3. Render HTML Template.mp447.65MB
  30. 7. Flask App/4. Import Boostrap.mp425.69MB
  31. 8. Number Plate Web App/1. Create Web App.mp425.71MB
  32. 8. Number Plate Web App/2. Footer.mp412.76MB
  33. 8. Number Plate Web App/3. Template Inheritance.mp422.21MB
  34. 8. Number Plate Web App/4. Upload Form in HTML.mp422.79MB
  35. 8. Number Plate Web App/5. HTTP Method Upload File in Flask.mp456.66MB
  36. 8. Number Plate Web App/6. Integrate Deep Learning Object Detection Model.mp4141.72MB
  37. 8. Number Plate Web App/7. Integrate Number Plate Detection and OCR to Flask App.mp466.89MB
  38. 8. Number Plate Web App/8. Display Output in HTML Page.mp478.17MB
  39. 8. Number Plate Web App/9. Display Output in HTML Page part 2.mp471.25MB
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