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[Udemy] Automatic Number Plate Recognition, OCR Web App in Python (04.2021)
magnet:?xt=urn:btih:713f6373aac8fee0ea0abd8ef657f021c2739b3e&dn=[Udemy] Automatic Number Plate Recognition, OCR Web App in Python (04.2021)
磁力链接详情
Hash值:
713f6373aac8fee0ea0abd8ef657f021c2739b3e
点击数:
225
文件大小:
1.6 GB
文件数量:
39
创建日期:
2021-12-26 07:57
最后访问:
2024-5-8 06:52
访问标签:
Udemy
Automatic
Number
Plate
Recognition
OCR
Web
App
in
Python
04
2021
文件列表详情
1. Introduction/1. Project Architecture.mp4 12.49 MB
2. Labeling/1. Get the Data.mp4 18.58 MB
2. Labeling/2. Download Image Annotation Tool.mp4 22.78 MB
2. Labeling/3. Install Dependencies.mp4 40.33 MB
2. Labeling/4. Label Images.mp4 32.08 MB
2. Labeling/5. XML to CSV.mp4 81.86 MB
3. Data Processing/1. Read Data.mp4 61.14 MB
3. Data Processing/2. Verify Labeled Data.mp4 48.62 MB
3. Data Processing/3. Data Preprocessing.mp4 83.36 MB
3. Data Processing/4. Split train and test set.mp4 27.4 MB
4. Deep Learning for Object Detection/1. Get Transfer Learning from TensorFlow 2.x.mp4 17.43 MB
4. Deep Learning for Object Detection/2. InceptionResnet V2 model building.mp4 45 MB
4. Deep Learning for Object Detection/3. Defining Inputs and Outputs.mp4 14.45 MB
4. Deep Learning for Object Detection/4. Compiling Model.mp4 23.94 MB
4. Deep Learning for Object Detection/5. InceptionResnet V2 Training.mp4 21.48 MB
4. Deep Learning for Object Detection/6. InceptionResnet V2 Training - Part 2.mp4 24.6 MB
4. Deep Learning for Object Detection/7. Save Deep Learning Model.mp4 24.07 MB
4. Deep Learning for Object Detection/8. Tensorboard.mp4 28.23 MB
5. Pipeline Object Detection Model/1. Make Predictions.mp4 74.93 MB
5. Pipeline Object Detection Model/2. Make Predictions part2.mp4 30.03 MB
5. Pipeline Object Detection Model/3. De-normalize the Output.mp4 30.59 MB
5. Pipeline Object Detection Model/4. Bounding Box.mp4 39.08 MB
5. Pipeline Object Detection Model/5. Create Pipeline.mp4 55.4 MB
6. Optical Character Recognition (OCR)/1. Install Tesseract.mp4 47.8 MB
6. Optical Character Recognition (OCR)/2. Install Pytesseract.mp4 12.98 MB
6. Optical Character Recognition (OCR)/3. Exrtract Number Plate text from Image.mp4 67.37 MB
7. Flask App/1. Install Visual Studio Code.mp4 38.79 MB
7. Flask App/2. First Flask App.mp4 38.2 MB
7. Flask App/3. Render HTML Template.mp4 47.65 MB
7. Flask App/4. Import Boostrap.mp4 25.69 MB
8. Number Plate Web App/1. Create Web App.mp4 25.71 MB
8. Number Plate Web App/2. Footer.mp4 12.76 MB
8. Number Plate Web App/3. Template Inheritance.mp4 22.21 MB
8. Number Plate Web App/4. Upload Form in HTML.mp4 22.79 MB
8. Number Plate Web App/5. HTTP Method Upload File in Flask.mp4 56.66 MB
8. Number Plate Web App/6. Integrate Deep Learning Object Detection Model.mp4 141.72 MB
8. Number Plate Web App/7. Integrate Number Plate Detection and OCR to Flask App.mp4 66.89 MB
8. Number Plate Web App/8. Display Output in HTML Page.mp4 78.17 MB
8. Number Plate Web App/9. Display Output in HTML Page part 2.mp4 71.25 MB
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