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种子名称： [Udemy] Automatic Number Plate Recognition, OCR Web App in Python (04.2021)
文件类型： 视频
文件数目： 39个文件
文件大小： 1.6 GB
收录时间： 2021-12-26 07:57
已经下载： 3次
资源热度： 232
最近下载： 2024-6-10 16:06

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

1. Introduction/1. Project Architecture.mp412.49MB

2. Labeling/1. Get the Data.mp418.58MB

2. Labeling/2. Download Image Annotation Tool.mp422.78MB

2. Labeling/3. Install Dependencies.mp440.33MB

2. Labeling/4. Label Images.mp432.08MB

2. Labeling/5. XML to CSV.mp481.86MB

3. Data Processing/1. Read Data.mp461.14MB

3. Data Processing/2. Verify Labeled Data.mp448.62MB

3. Data Processing/3. Data Preprocessing.mp483.36MB

3. Data Processing/4. Split train and test set.mp427.4MB

4. Deep Learning for Object Detection/1. Get Transfer Learning from TensorFlow 2.x.mp417.43MB

4. Deep Learning for Object Detection/2. InceptionResnet V2 model building.mp445MB

4. Deep Learning for Object Detection/3. Defining Inputs and Outputs.mp414.45MB

4. Deep Learning for Object Detection/4. Compiling Model.mp423.94MB

4. Deep Learning for Object Detection/5. InceptionResnet V2 Training.mp421.48MB

4. Deep Learning for Object Detection/6. InceptionResnet V2 Training - Part 2.mp424.6MB

4. Deep Learning for Object Detection/7. Save Deep Learning Model.mp424.07MB

4. Deep Learning for Object Detection/8. Tensorboard.mp428.23MB

5. Pipeline Object Detection Model/1. Make Predictions.mp474.93MB

5. Pipeline Object Detection Model/2. Make Predictions part2.mp430.03MB

5. Pipeline Object Detection Model/3. De-normalize the Output.mp430.59MB

5. Pipeline Object Detection Model/4. Bounding Box.mp439.08MB

5. Pipeline Object Detection Model/5. Create Pipeline.mp455.4MB

6. Optical Character Recognition (OCR)/1. Install Tesseract.mp447.8MB

6. Optical Character Recognition (OCR)/2. Install Pytesseract.mp412.98MB

6. Optical Character Recognition (OCR)/3. Exrtract Number Plate text from Image.mp467.37MB

7. Flask App/1. Install Visual Studio Code.mp438.79MB

7. Flask App/2. First Flask App.mp438.2MB

7. Flask App/3. Render HTML Template.mp447.65MB

7. Flask App/4. Import Boostrap.mp425.69MB

8. Number Plate Web App/1. Create Web App.mp425.71MB

8. Number Plate Web App/2. Footer.mp412.76MB

8. Number Plate Web App/3. Template Inheritance.mp422.21MB

8. Number Plate Web App/4. Upload Form in HTML.mp422.79MB

8. Number Plate Web App/5. HTTP Method Upload File in Flask.mp456.66MB

8. Number Plate Web App/6. Integrate Deep Learning Object Detection Model.mp4141.72MB

8. Number Plate Web App/7. Integrate Number Plate Detection and OCR to Flask App.mp466.89MB

8. Number Plate Web App/8. Display Output in HTML Page.mp478.17MB

8. Number Plate Web App/9. Display Output in HTML Page part 2.mp471.25MB