Udemy - Optical Character Recognition (OCR) in Python 2022

Creation Time	Nov. 25, 2024, 6:40 a.m.
Last Access Time	Nov. 25, 2024, 11:18 a.m.
File Size	4.4 GB
Keywords	Python - Character Udemy Optical 2022 in OCR Recognition
Total Requests	9
Total Files	196
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8. Project 1 Searching for specific terms/4. Word cloud.mp4 107.3 MB
1. Introduction/1. Course content.mp4 104.0 MB
5. Training a custom OCR/5. Pre-processing the data.mp4 102.7 MB
7. OCR in videos/4. OCR with EAST and Tesseract.mp4 94.5 MB
5. Training a custom OCR/16. Character recognition.mp4 93.5 MB
4. OCR with EAST for natural scenes/5. Decoding the image 2.mp4 89.4 MB
2. OCR with Tesseract/8. Selection of texts 2.mp4 89.1 MB
5. Training a custom OCR/6. Building the neural network.mp4 85.8 MB
6. Natural scenarios with EasyOCR/3. Writing the results on the image.mp4 80.4 MB
2. OCR with Tesseract/5. Page segmentation mode (PSM).mp4 79.5 MB
4. OCR with EAST for natural scenes/2. Pre-processing the image.mp4 78.0 MB
2. OCR with Tesseract/10. Search using regular expressions.mp4 75.8 MB
5. Training a custom OCR/13. Contour detection.mp4 74.1 MB
3. Techniques for image pre-processing/12. Noise removal - intuition.mp4 73.0 MB
5. Training a custom OCR/8. Evaluating the neural network.mp4 72.9 MB
2. OCR with Tesseract/9. Selection of texts 3.mp4 70.0 MB
2. OCR with Tesseract/4. Support for other languages.mp4 69.6 MB
4. OCR with EAST for natural scenes/3. Loading the neural network.mp4 67.4 MB
9. Project 2 Scanner + OCR/3. Perspective transformation.mp4 67.1 MB
5. Training a custom OCR/14. Processing the detections 1.mp4 65.8 MB
8. Project 1 Searching for specific terms/6. Search for texts in images.mp4 65.4 MB
5. Training a custom OCR/3. Kaggle A-Z dataset.mp4 64.0 MB
11. Extra content 1 artificial neural networks/8. Bias, error, stochastic gradient descent, and more parameters.mp4 63.5 MB
2. OCR with Tesseract/7. Selection of texts 1.mp4 63.2 MB
7. OCR in videos/2. Video settings.mp4 62.2 MB
5. Training a custom OCR/2. MNIST 0-9 dataset.mp4 59.7 MB
6. Natural scenarios with EasyOCR/5. Text recognition (background).mp4 59.6 MB
12. Extra content 2 convolutional neural networks/4. Flattening.mp4 57.9 MB
11. Extra content 1 artificial neural networks/1. Biological fundamentals.mp4 57.6 MB
10. Project 3 License plate reading/1. Pre-processing the image.mp4 57.0 MB
3. Techniques for image pre-processing/11. Morphological operations - implementation.mp4 55.1 MB
9. Project 2 Scanner + OCR/2. Contour detection.mp4 54.4 MB
11. Extra content 1 artificial neural networks/2. Single layer perceptron.mp4 54.3 MB
7. OCR in videos/1. Preparing the environment.mp4 53.4 MB
12. Extra content 2 convolutional neural networks/1. Introduction to convolutional neural networks.mp4 51.9 MB
5. Training a custom OCR/18. Problems with undetected texts.mp4 51.3 MB
5. Training a custom OCR/17. Problems with 0 and O, 1 and l, 5 and S.mp4 51.3 MB
11. Extra content 1 artificial neural networks/7. Updating weights with backpropagation.mp4 50.8 MB
3. Techniques for image pre-processing/2. Thresholding - intuition.mp4 50.1 MB
5. Training a custom OCR/7. Training the neural network.mp4 49.9 MB
2. OCR with Tesseract/11. Detections in natural scenarios.mp4 49.1 MB
9. Project 2 Scanner + OCR/5. Improving image quality.mp4 48.6 MB
4. OCR with EAST for natural scenes/4. Decoding the image 1.mp4 48.0 MB
10. Project 3 License plate reading/2. Text recognition.mp4 47.9 MB
4. OCR with EAST for natural scenes/6. Text recognition.mp4 47.5 MB
5. Training a custom OCR/10. Testing with images.mp4 47.3 MB
6. Natural scenarios with EasyOCR/4. Other languages - French and Chinese.mp4 46.4 MB
2. OCR with Tesseract/1. Introduction to Tesseract.mp4 46.2 MB
11. Extra content 1 artificial neural networks/3. Multilayer perceptron – sum and activation functions.mp4 45.8 MB
8. Project 1 Searching for specific terms/2. Text recognition.mp4 45.7 MB
3. Techniques for image pre-processing/4. Thresholding with Otsu method.mp4 44.6 MB
11. Extra content 1 artificial neural networks/5. Gradient descent.mp4 43.1 MB
3. Techniques for image pre-processing/5. Adaptive thresholding.mp4 42.9 MB
3. Techniques for image pre-processing/13. Noise removal - implementation.mp4 42.1 MB
8. Project 1 Searching for specific terms/1. Preparing the environment.mp4 41.6 MB
1. Introduction/2. Introduction to OCR.mp4 40.4 MB
5. Training a custom OCR/12. Pre-processing the image.mp4 40.3 MB
12. Extra content 2 convolutional neural networks/5. Dense neural network.mp4 40.2 MB
4. OCR with EAST for natural scenes/1. EAST - introduction.mp4 39.7 MB
3. Techniques for image pre-processing/3. Simple thresholding.mp4 39.6 MB
2. OCR with Tesseract/2. Preparing the environment.mp4 38.8 MB
9. Project 2 Scanner + OCR/1. Preparing the environment.mp4 38.8 MB
3. Techniques for image pre-processing/6. Gaussian adaptive thresholding.mp4 38.6 MB
7. OCR in videos/5. OCR with EasyOCR.mp4 38.4 MB
12. Extra content 2 convolutional neural networks/2. Convolutional operation.mp4 37.1 MB
3. Techniques for image pre-processing/9. Resizing - implementation.mp4 36.2 MB
5. Training a custom OCR/15. Processing the detections 2.mp4 36.1 MB
3. Techniques for image pre-processing/1. Grayscale.mp4 35.2 MB
5. Training a custom OCR/4. Joining the datasets.mp4 34.2 MB
6. Natural scenarios with EasyOCR/1. Preparing the environment.mp4 33.3 MB
5. Training a custom OCR/11. Preparing the environment.mp4 32.9 MB
8. Project 1 Searching for specific terms/7. Saving the results.mp4 32.4 MB
3. Techniques for image pre-processing/7. Color inversion.mp4 31.2 MB
8. Project 1 Searching for specific terms/3. Searching for texts.mp4 31.0 MB
9. Project 2 Scanner + OCR/4. OCR with Tesseract.mp4 29.6 MB
3. Techniques for image pre-processing/8. Resizing - intuition.mp4 29.4 MB
2. OCR with Tesseract/6. Page orientation detection.mp4 27.6 MB
11. Extra content 1 artificial neural networks/6. Delta parameter.mp4 27.3 MB
7. OCR in videos/3. Processing the video.mp4 25.5 MB
3. Techniques for image pre-processing/10. Morphological operations - intuition.mp4 25.3 MB
9. Project 2 Scanner + OCR/6. Putting all together.mp4 24.3 MB
3. Techniques for image pre-processing/14. Text recognition with OCR.mp4 23.6 MB
12. Extra content 2 convolutional neural networks/3. Pooling.mp4 23.0 MB
3. Techniques for image pre-processing/16. Homework solution.mp4 20.8 MB
8. Project 1 Searching for specific terms/5. Named entity recognition.mp4 19.5 MB
5. Training a custom OCR/1. Importing the libraries.mp4 18.3 MB
11. Extra content 1 artificial neural networks/4. Multilayer perceptron – error calculation.mp4 16.9 MB
10. Project 3 License plate reading/3. Improving image quality.mp4 15.2 MB
5. Training a custom OCR/9. Saving the neural network.mp4 15.0 MB
6. Natural scenarios with EasyOCR/2. Text recognition.mp4 12.3 MB
2. OCR with Tesseract/3. First text recognition.mp4 10.5 MB
13. Final remarks/1. Final remarks.mp4 6.8 MB
11. Extra content 1 artificial neural networks/8. Bias, error, stochastic gradient descent, and more parameters.srt 17.4 KB
11. Extra content 1 artificial neural networks/2. Single layer perceptron.srt 17.3 KB
5. Training a custom OCR/5. Pre-processing the data.srt 15.5 KB
3. Techniques for image pre-processing/12. Noise removal - intuition.srt 14.4 KB
2. OCR with Tesseract/8. Selection of texts 2.srt 13.3 KB
5. Training a custom OCR/13. Contour detection.srt 13.0 KB
4. OCR with EAST for natural scenes/5. Decoding the image 2.srt 13.0 KB
5. Training a custom OCR/6. Building the neural network.srt 12.8 KB
11. Extra content 1 artificial neural networks/7. Updating weights with backpropagation.srt 12.6 KB
11. Extra content 1 artificial neural networks/3. Multilayer perceptron – sum and activation functions.srt 12.6 KB
1. Introduction/1. Course content.srt 12.0 KB
6. Natural scenarios with EasyOCR/3. Writing the results on the image.srt 12.0 KB
4. OCR with EAST for natural scenes/2. Pre-processing the image.srt 11.7 KB
5. Training a custom OCR/16. Character recognition.srt 11.6 KB
5. Training a custom OCR/14. Processing the detections 1.srt 11.5 KB
8. Project 1 Searching for specific terms/4. Word cloud.srt 11.4 KB
2. OCR with Tesseract/1. Introduction to Tesseract.srt 11.0 KB
3. Techniques for image pre-processing/2. Thresholding - intuition.srt 10.6 KB
3. Techniques for image pre-processing/11. Morphological operations - implementation.srt 10.6 KB
7. OCR in videos/4. OCR with EAST and Tesseract.srt 10.5 KB
5. Training a custom OCR/8. Evaluating the neural network.srt 10.5 KB
9. Project 2 Scanner + OCR/3. Perspective transformation.srt 10.4 KB
2. OCR with Tesseract/10. Search using regular expressions.srt 10.3 KB
5. Training a custom OCR/3. Kaggle A-Z dataset.srt 10.1 KB
12. Extra content 2 convolutional neural networks/2. Convolutional operation.srt 10.0 KB
2. OCR with Tesseract/5. Page segmentation mode (PSM).srt 10.0 KB
4. OCR with EAST for natural scenes/3. Loading the neural network.srt 9.9 KB
7. OCR in videos/2. Video settings.srt 9.7 KB
2. OCR with Tesseract/9. Selection of texts 3.srt 9.5 KB
5. Training a custom OCR/10. Testing with images.srt 9.4 KB
2. OCR with Tesseract/4. Support for other languages.srt 9.3 KB
5. Training a custom OCR/2. MNIST 0-9 dataset.srt 9.3 KB
8. Project 1 Searching for specific terms/6. Search for texts in images.srt 9.0 KB
11. Extra content 1 artificial neural networks/5. Gradient descent.srt 8.8 KB
10. Project 3 License plate reading/1. Pre-processing the image.srt 8.5 KB
4. OCR with EAST for natural scenes/1. EAST - introduction.srt 8.3 KB
9. Project 2 Scanner + OCR/2. Contour detection.srt 8.2 KB
2. OCR with Tesseract/7. Selection of texts 1.srt 8.1 KB
3. Techniques for image pre-processing/13. Noise removal - implementation.srt 8.0 KB
7. OCR in videos/1. Preparing the environment.srt 7.7 KB
9. Project 2 Scanner + OCR/5. Improving image quality.srt 7.6 KB
12. Extra content 2 convolutional neural networks/1. Introduction to convolutional neural networks.srt 7.5 KB
5. Training a custom OCR/12. Pre-processing the image.srt 7.4 KB
6. Natural scenarios with EasyOCR/5. Text recognition (background).srt 7.3 KB
2. OCR with Tesseract/2. Preparing the environment.srt 7.2 KB
11. Extra content 1 artificial neural networks/6. Delta parameter.srt 7.2 KB
5. Training a custom OCR/7. Training the neural network.srt 7.1 KB
3. Techniques for image pre-processing/1. Grayscale.srt 7.1 KB
12. Extra content 2 convolutional neural networks/4. Flattening.srt 6.8 KB
5. Training a custom OCR/15. Processing the detections 2.srt 6.6 KB
8. Project 1 Searching for specific terms/1. Preparing the environment.srt 6.3 KB
4. OCR with EAST for natural scenes/4. Decoding the image 1.srt 6.3 KB
1. Introduction/2. Introduction to OCR.srt 6.1 KB
2. OCR with Tesseract/11. Detections in natural scenarios.srt 5.9 KB
3. Techniques for image pre-processing/5. Adaptive thresholding.srt 5.8 KB
8. Project 1 Searching for specific terms/2. Text recognition.srt 5.7 KB
3. Techniques for image pre-processing/4. Thresholding with Otsu method.srt 5.6 KB
6. Natural scenarios with EasyOCR/4. Other languages - French and Chinese.srt 5.6 KB
3. Techniques for image pre-processing/3. Simple thresholding.srt 5.5 KB
12. Extra content 2 convolutional neural networks/3. Pooling.srt 5.5 KB
9. Project 2 Scanner + OCR/1. Preparing the environment.srt 5.4 KB
11. Extra content 1 artificial neural networks/1. Biological fundamentals.srt 5.3 KB
4. OCR with EAST for natural scenes/6. Text recognition.srt 5.3 KB
12. Extra content 2 convolutional neural networks/5. Dense neural network.srt 5.2 KB
5. Training a custom OCR/11. Preparing the environment.srt 5.2 KB
8. Project 1 Searching for specific terms/3. Searching for texts.srt 5.2 KB
10. Project 3 License plate reading/2. Text recognition.srt 5.1 KB
7. OCR in videos/5. OCR with EasyOCR.srt 4.9 KB
6. Natural scenarios with EasyOCR/1. Preparing the environment.srt 4.9 KB
3. Techniques for image pre-processing/9. Resizing - implementation.srt 4.9 KB
11. Extra content 1 artificial neural networks/4. Multilayer perceptron – error calculation.srt 4.7 KB
5. Training a custom OCR/4. Joining the datasets.srt 4.6 KB
3. Techniques for image pre-processing/8. Resizing - intuition.srt 4.6 KB
3. Techniques for image pre-processing/6. Gaussian adaptive thresholding.srt 4.6 KB
8. Project 1 Searching for specific terms/7. Saving the results.srt 4.6 KB
3. Techniques for image pre-processing/16. Homework solution.srt 4.3 KB
5. Training a custom OCR/1. Importing the libraries.srt 4.2 KB
7. OCR in videos/3. Processing the video.srt 4.1 KB
3. Techniques for image pre-processing/14. Text recognition with OCR.srt 4.0 KB
2. OCR with Tesseract/6. Page orientation detection.srt 4.0 KB
3. Techniques for image pre-processing/7. Color inversion.srt 3.9 KB
9. Project 2 Scanner + OCR/4. OCR with Tesseract.srt 3.4 KB
8. Project 1 Searching for specific terms/5. Named entity recognition.srt 3.2 KB
5. Training a custom OCR/9. Saving the neural network.srt 3.1 KB
3. Techniques for image pre-processing/10. Morphological operations - intuition.srt 3.1 KB
9. Project 2 Scanner + OCR/6. Putting all together.srt 2.5 KB
13. Final remarks/2. BONUS.html 2.3 KB
2. OCR with Tesseract/3. First text recognition.srt 2.2 KB
10. Project 3 License plate reading/3. Improving image quality.srt 2.1 KB
6. Natural scenarios with EasyOCR/2. Text recognition.srt 2.0 KB
13. Final remarks/1. Final remarks.srt 1.8 KB
1. Introduction/3. Course materials.html 431 bytes
3. Techniques for image pre-processing/15. HOMEWORK.html 367 bytes
2. OCR with Tesseract/1.1 Source code - Google Colab.html 146 bytes
3. Techniques for image pre-processing/1.1 Source code - Google Colab.html 146 bytes
4. OCR with EAST for natural scenes/1.1 Source code - Google Colab.html 146 bytes
5. Training a custom OCR/1.1 Source code - Google Colab.html 146 bytes
5. Training a custom OCR/11.1 Source code - Google Colab.html 146 bytes
6. Natural scenarios with EasyOCR/1.1 Source code - Google Colab.html 146 bytes
7. OCR in videos/1.1 Source code - Google Colab.html 146 bytes
8. Project 1 Searching for specific terms/1.1 Source code - Google Colab.html 146 bytes
9. Project 2 Scanner + OCR/1.1 Source code - Google Colab.html 146 bytes
10. Project 3 License plate reading/1.1 Source code - Google Colab.html 146 bytes
Readme.txt 134 bytes

Udemy - Optical Character Recognition (OCR) in Python 2022

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