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[ DevCourseWeb.com ] Udemy - Intelligently Extract Text and Data from Document with OCR NER
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2.1 GB
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文档列表
~Get Your Files Here !/8. Document Scanner/9. Document Scanner Function Putting All together.mp4
85.6 MB
~Get Your Files Here !/3. Data Preparation/9. Extract Text and Data from all Business Card.mp4
84.7 MB
~Get Your Files Here !/3. Data Preparation/8. Pytesseract Draw Bounding Box around each word.mp4
75.9 MB
~Get Your Files Here !/6. Predictions/13. Bounding Box.mp4
71.9 MB
~Get Your Files Here !/3. Data Preparation/6. Pytesseract Image to text to dataframe.mp4
68.1 MB
~Get Your Files Here !/6. Predictions/10. Join token dataframe with Pytesseract data.mp4
67.2 MB
~Get Your Files Here !/5. Train Named Entity Recognition (NER) model/1. Spacy Fill the Configuration.mp4
62.4 MB
~Get Your Files Here !/6. Predictions/17. Predictions Function.mp4
61.5 MB
~Get Your Files Here !/6. Predictions/11. Bounding Box and Tagging Predicted Entities.mp4
53.9 MB
~Get Your Files Here !/6. Predictions/16. Parse Entitles.mp4
50.6 MB
~Get Your Files Here !/1. Introduction/3. Facing any Issue with the Course Here is the solution.mp4
48.8 MB
~Get Your Files Here !/6. Predictions/18. Final Prediction Pipeline.mp4
48.7 MB
~Get Your Files Here !/8. Document Scanner/11. Integrate NER Predictions.mp4
48.2 MB
~Get Your Files Here !/6. Predictions/12. Combine the BIO information.mp4
46.5 MB
~Get Your Files Here !/3. Data Preparation/11. Labeling.srt
44.8 MB
~Get Your Files Here !/3. Data Preparation/11. Labeling.mp4
44.8 MB
~Get Your Files Here !/2. Project Setup/4. Install Tesseract OCR & Pytesseract.mp4
42.7 MB
~Get Your Files Here !/6. Predictions/8. Tagging Each Word.mp4
41.2 MB
~Get Your Files Here !/8. Document Scanner/7. Find Four Point Countours (Identify Location of document).mp4
39.1 MB
~Get Your Files Here !/6. Predictions/4. Extract Text from Image and Convert into Data Frame.mp4
38.6 MB
~Get Your Files Here !/3. Data Preparation/8. Pytesseract Draw Bounding Box around each word.srt
37.8 MB
~Get Your Files Here !/4. Data Preprocessing and Cleaning/2. Load Data and convert into Pandas DataFrame.mp4
37.7 MB
~Get Your Files Here !/4. Data Preprocessing and Cleaning/3. Cleaning Text.mp4
36.8 MB
~Get Your Files Here !/6. Predictions/14. Parsing Function.mp4
35.7 MB
~Get Your Files Here !/4. Data Preprocessing and Cleaning/4. Convert Data into spacy format.mp4
35.6 MB
~Get Your Files Here !/7. Improve Model Performance/2. Version-2 model framework Data Preprocessing.mp4
33.8 MB
~Get Your Files Here !/3. Data Preparation/2. Load Business Card using OpenCV & PIL.mp4
33.7 MB
~Get Your Files Here !/5. Train Named Entity Recognition (NER) model/2. Spacy Prepare Data.mp4
33.4 MB
~Get Your Files Here !/8. Document Scanner/5. Edge Detection (Enhance, Blur and Canny) to Document.mp4
33.2 MB
~Get Your Files Here !/2. Project Setup/5. Install spaCy.mp4
29.3 MB
~Get Your Files Here !/8. Document Scanner/8. Apply Wrap transform and crop only document.mp4
29.0 MB
~Get Your Files Here !/3. Data Preparation/2.2 BusinessCardData.zip
28.6 MB
~Get Your Files Here !/3. Data Preparation/7. Pytesseract Clean Text in Dataframe.mp4
28.5 MB
~Get Your Files Here !/7. Improve Model Performance/3. Train Version 2 model.mp4
25.4 MB
~Get Your Files Here !/6. Predictions/9. Join Label to tokens dataframe.mp4
25.4 MB
~Get Your Files Here !/6. Predictions/6. Get Named Entities from model.mp4
25.3 MB
~Get Your Files Here !/7. Improve Model Performance/4. Get Predictions from the model.mp4
24.7 MB
~Get Your Files Here !/8. Document Scanner/10. Magic Color to Image.mp4
23.6 MB
~Get Your Files Here !/8. Document Scanner/3. Setup and Read Image.mp4
21.5 MB
~Get Your Files Here !/4. Data Preprocessing and Cleaning/6. Convert data into spacy format for all Business card text.mp4
21.1 MB
~Get Your Files Here !/8. Document Scanner/4. Resize Image with same aspect ratio.mp4
19.8 MB
~Get Your Files Here !/8. Document Scanner/6. Dilate Edges with morphological transform.mp4
19.7 MB
~Get Your Files Here !/3. Data Preparation/3. Pytesseract Extract text from Image.srt
18.2 MB
~Get Your Files Here !/3. Data Preparation/3. Pytesseract Extract text from Image.mp4
18.2 MB
~Get Your Files Here !/2. Project Setup/1. Install Python.mp4
17.7 MB
~Get Your Files Here !/6. Predictions/5. Convert Data Frame into Content.mp4
15.7 MB
~Get Your Files Here !/1. Introduction/1. Introduction.mp4
15.5 MB
~Get Your Files Here !/3. Data Preparation/5. Pytesseract How Pytesseract with work .mp4
15.5 MB
~Get Your Files Here !/4. Data Preprocessing and Cleaning/7. Splitting Data into Training and Testing Set.mp4
14.4 MB
~Get Your Files Here !/8. Document Scanner/8. Apply Wrap transform and crop only document.srt
14.1 MB
~Get Your Files Here !/3. Data Preparation/1. Project Plan.mp4
12.3 MB
~Get Your Files Here !/6. Predictions/15. Testing.mp4
11.8 MB
~Get Your Files Here !/6. Predictions/3. Load Spacy NER Model.mp4
11.3 MB
~Get Your Files Here !/4. Data Preprocessing and Cleaning/1. Spacy Training Data Format.mp4
11.2 MB
~Get Your Files Here !/3. Data Preparation/10. Save data in csv.mp4
9.9 MB
~Get Your Files Here !/2. Project Setup/6. Test, the packages are installed.mp4
9.5 MB
~Get Your Files Here !/4. Data Preprocessing and Cleaning/5. Testing Entities.mp4
9.3 MB
~Get Your Files Here !/6. Predictions/1. Import Required Libraries.mp4
8.9 MB
~Get Your Files Here !/7. Improve Model Performance/1. Ideas to Improve model accuracy.srt
8.5 MB
~Get Your Files Here !/7. Improve Model Performance/1. Ideas to Improve model accuracy.mp4
8.5 MB
~Get Your Files Here !/2. Project Setup/2. Install Virtual Environment.mp4
8.3 MB
~Get Your Files Here !/2. Project Setup/3. Install Packages into Virtual Environment.mp4
7.7 MB
~Get Your Files Here !/6. Predictions/7. Displacy render.mp4
7.4 MB
~Get Your Files Here !/6. Predictions/2. Clean Text Function.mp4
6.2 MB
~Get Your Files Here !/5. Train Named Entity Recognition (NER) model/3. Spacy Train NER pipeline model.mp4
5.8 MB
~Get Your Files Here !/8. Document Scanner/2. What and Why Document Scanner in OpenCV .mp4
5.7 MB
~Get Your Files Here !/5. Train Named Entity Recognition (NER) model/4. Spacy Save NER Model.mp4
4.6 MB
~Get Your Files Here !/1. Introduction/output/model-best/tok2vec/model
4.4 MB
~Get Your Files Here !/1. Introduction/output/model-last/tok2vec/model
4.4 MB
~Get Your Files Here !/5. Train Named Entity Recognition (NER) model/output/model-best/tok2vec/model
4.4 MB
~Get Your Files Here !/5. Train Named Entity Recognition (NER) model/output/model-last/tok2vec/model
4.4 MB
~Get Your Files Here !/8. Document Scanner/2_DocumentScanner/output/model-best/tok2vec/model
4.4 MB
~Get Your Files Here !/8. Document Scanner/2_DocumentScanner/output/model-last/tok2vec/model
4.4 MB
~Get Your Files Here !/3. Data Preparation/4. Pytesseract Tesseract Error.mp4
4.4 MB
~Get Your Files Here !/8. Document Scanner/2_DocumentScanner/images/015.jpg
2.2 MB
~Get Your Files Here !/8. Document Scanner/2_DocumentScanner/images/033.jpg
1.6 MB
~Get Your Files Here !/8. Document Scanner/2_DocumentScanner/1_document_scanner.ipynb
497.4 kB
~Get Your Files Here !/8. Document Scanner/2_DocumentScanner/ipynb_checkpoints/1_document_scanner-checkpoint.ipynb
497.4 kB
~Get Your Files Here !/1. Introduction/Selected/038.jpeg
397.9 kB
~Get Your Files Here !/1. Introduction/Selected/019.jpeg
380.1 kB
~Get Your Files Here !/3. Data Preparation/1.1 1_Flow_diagram.pdf
339.8 kB
~Get Your Files Here !/1. Introduction/Selected/228.jpeg
336.4 kB
~Get Your Files Here !/1. Introduction/Selected/254.jpeg
308.4 kB
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292.0 kB
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292.0 kB
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284.3 kB
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281.2 kB
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280.1 kB
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277.0 kB
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272.6 kB
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268.3 kB
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267.5 kB
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267.0 kB
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262.0 kB
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256.9 kB
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255.3 kB
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254.0 kB
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252.6 kB
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249.6 kB
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245.7 kB
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245.7 kB
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243.7 kB
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241.3 kB
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241.3 kB
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240.6 kB
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237.8 kB
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235.5 kB
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233.8 kB
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232.9 kB
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227.2 kB
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225.7 kB
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221.5 kB
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218.9 kB
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215.1 kB
~Get Your Files Here !/1. Introduction/Selected/162.jpeg
214.5 kB
~Get Your Files Here !/1. Introduction/Selected/257.jpeg
213.2 kB
~Get Your Files Here !/1. Introduction/01_Pytesseract.ipynb
213.2 kB
~Get Your Files Here !/1. Introduction/ipynb_checkpoints/01_Pytesseract-checkpoint.ipynb
213.2 kB
~Get Your Files Here !/3. Data Preparation/2.1 01_Pytesseract.ipynb
213.2 kB
~Get Your Files Here !/1. Introduction/Selected/248.jpeg
209.7 kB
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209.2 kB
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209.1 kB
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207.7 kB
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207.3 kB
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207.1 kB
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206.5 kB
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206.3 kB
~Get Your Files Here !/1. Introduction/businessCard.csv
205.7 kB
~Get Your Files Here !/1. Introduction/businessCard.txt
205.7 kB
~Get Your Files Here !/3. Data Preparation/10.1 businessCard.csv
205.7 kB
~Get Your Files Here !/4. Data Preprocessing and Cleaning/2.2 businessCard.txt
205.7 kB
~Get Your Files Here !/1. Introduction/Selected/236.jpeg
199.1 kB
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198.2 kB
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197.1 kB
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194.2 kB
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194.1 kB
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193.7 kB
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193.3 kB
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192.4 kB
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192.3 kB
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189.1 kB
~Get Your Files Here !/1. Introduction/03_Data_Preprocessing.ipynb
188.9 kB
~Get Your Files Here !/4. Data Preprocessing and Cleaning/2.1 03_Data_Preprocessing.ipynb
188.9 kB
~Get Your Files Here !/1. Introduction/Selected/225.jpeg
188.6 kB
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187.9 kB
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187.5 kB
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186.8 kB
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186.8 kB
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184.7 kB
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184.2 kB
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182.6 kB
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181.9 kB
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180.6 kB
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180.3 kB
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178.5 kB
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176.2 kB
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174.5 kB
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174.4 kB
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172.1 kB
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171.5 kB
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170.7 kB
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170.4 kB
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168.8 kB
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168.7 kB
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166.4 kB
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160.3 kB
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155.4 kB
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152.6 kB
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152.3 kB
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152.3 kB
~Get Your Files Here !/8. Document Scanner/2_DocumentScanner/output/model-best/ner/model
148.3 kB
~Get Your Files Here !/8. Document Scanner/2_DocumentScanner/output/model-last/ner/model
148.3 kB
~Get Your Files Here !/1. Introduction/output/model-best/ner/model
147.3 kB
~Get Your Files Here !/1. Introduction/output/model-last/ner/model
147.3 kB
~Get Your Files Here !/5. Train Named Entity Recognition (NER) model/output/model-best/ner/model
147.3 kB
~Get Your Files Here !/5. Train Named Entity Recognition (NER) model/output/model-last/ner/model
147.3 kB
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146.7 kB
~Get Your Files Here !/8. Document Scanner/2_DocumentScanner/output/model-best/vocab/strings.json
146.0 kB
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146.0 kB
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144.9 kB
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6 Bytes
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