[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 | 2024-12-3 15:36 | 309 | 1.6 GB | 39 |
迅雷链接
二维码链接
种子下载(838888不存储任何种子文件)
文件列表
- 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
友情提示
不会用的朋友看这里
把磁力链接复制到离线下载，或者bt下载软件里即可下载文件，或者直接复制迅雷链接到迅雷里下载！
亲，你造吗？将网页分享给您的基友，下载的人越多速度越快哦！
违规内容投诉邮箱：[email protected]
概述
838888磁力搜索是一个磁力链接搜索引擎，是学术研究的副产品，用于解决资源过度分散的问题
它通过BitTorrent协议加入DHT网络，实时的自动采集数据，仅存储文件的标题、大小、文件列表、文件标识符（磁力链接）等基础信息
838888磁力搜索不下载任何真实资源，无法判断资源的合法性及真实性，使用838888磁力搜索服务的用户需自行鉴别内容的真伪
838888磁力搜索不上传任何资源，不提供Tracker服务，不提供种子文件的下载，这意味着838888磁力搜索 838888磁力搜索是一个完全合法的系统