Udemy - Optical Character Recognition (OCR) in Python 2022 - 磁力狗

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Udemy - Optical Character Recognition (OCR) in Python 2022的二维码

文档列表

8. Project 1 Searching for specific terms/4. Word cloud.mp4 112.5 MB
1. Introduction/1. Course content.mp4 109.1 MB
5. Training a custom OCR/5. Pre-processing the data.mp4 107.7 MB
7. OCR in videos/4. OCR with EAST and Tesseract.mp4 99.1 MB
5. Training a custom OCR/16. Character recognition.mp4 98.1 MB
4. OCR with EAST for natural scenes/5. Decoding the image 2.mp4 93.7 MB
2. OCR with Tesseract/8. Selection of texts 2.mp4 93.5 MB
5. Training a custom OCR/6. Building the neural network.mp4 90.0 MB
6. Natural scenarios with EasyOCR/3. Writing the results on the image.mp4 84.3 MB
2. OCR with Tesseract/5. Page segmentation mode (PSM).mp4 83.4 MB
4. OCR with EAST for natural scenes/2. Pre-processing the image.mp4 81.8 MB
2. OCR with Tesseract/10. Search using regular expressions.mp4 79.5 MB
5. Training a custom OCR/13. Contour detection.mp4 77.7 MB
3. Techniques for image pre-processing/12. Noise removal - intuition.mp4 76.6 MB
5. Training a custom OCR/8. Evaluating the neural network.mp4 76.4 MB
2. OCR with Tesseract/9. Selection of texts 3.mp4 73.5 MB
2. OCR with Tesseract/4. Support for other languages.mp4 73.0 MB
4. OCR with EAST for natural scenes/3. Loading the neural network.mp4 70.6 MB
9. Project 2 Scanner + OCR/3. Perspective transformation.mp4 70.4 MB
5. Training a custom OCR/14. Processing the detections 1.mp4 69.0 MB
8. Project 1 Searching for specific terms/6. Search for texts in images.mp4 68.6 MB
5. Training a custom OCR/3. Kaggle A-Z dataset.mp4 67.1 MB
11. Extra content 1 artificial neural networks/8. Bias, error, stochastic gradient descent, and more parameters.mp4 66.5 MB
2. OCR with Tesseract/7. Selection of texts 1.mp4 66.2 MB
7. OCR in videos/2. Video settings.mp4 65.2 MB
5. Training a custom OCR/2. MNIST 0-9 dataset.mp4 62.6 MB
6. Natural scenarios with EasyOCR/5. Text recognition (background).mp4 62.5 MB
12. Extra content 2 convolutional neural networks/4. Flattening.mp4 60.8 MB
11. Extra content 1 artificial neural networks/1. Biological fundamentals.mp4 60.4 MB
10. Project 3 License plate reading/1. Pre-processing the image.mp4 59.8 MB
3. Techniques for image pre-processing/11. Morphological operations - implementation.mp4 57.8 MB
9. Project 2 Scanner + OCR/2. Contour detection.mp4 57.0 MB
11. Extra content 1 artificial neural networks/2. Single layer perceptron.mp4 57.0 MB
7. OCR in videos/1. Preparing the environment.mp4 56.0 MB
12. Extra content 2 convolutional neural networks/1. Introduction to convolutional neural networks.mp4 54.4 MB
5. Training a custom OCR/18. Problems with undetected texts.mp4 53.8 MB
5. Training a custom OCR/17. Problems with 0 and O, 1 and l, 5 and S.mp4 53.7 MB
11. Extra content 1 artificial neural networks/7. Updating weights with backpropagation.mp4 53.3 MB
3. Techniques for image pre-processing/2. Thresholding - intuition.mp4 52.5 MB
5. Training a custom OCR/7. Training the neural network.mp4 52.3 MB
2. OCR with Tesseract/11. Detections in natural scenarios.mp4 51.5 MB
9. Project 2 Scanner + OCR/5. Improving image quality.mp4 51.0 MB
4. OCR with EAST for natural scenes/4. Decoding the image 1.mp4 50.3 MB
10. Project 3 License plate reading/2. Text recognition.mp4 50.2 MB
4. OCR with EAST for natural scenes/6. Text recognition.mp4 49.8 MB
5. Training a custom OCR/10. Testing with images.mp4 49.6 MB
6. Natural scenarios with EasyOCR/4. Other languages - French and Chinese.mp4 48.7 MB
2. OCR with Tesseract/1. Introduction to Tesseract.mp4 48.4 MB
11. Extra content 1 artificial neural networks/3. Multilayer perceptron – sum and activation functions.mp4 48.0 MB
8. Project 1 Searching for specific terms/2. Text recognition.mp4 47.9 MB
3. Techniques for image pre-processing/4. Thresholding with Otsu method.mp4 46.8 MB
11. Extra content 1 artificial neural networks/5. Gradient descent.mp4 45.2 MB
3. Techniques for image pre-processing/5. Adaptive thresholding.mp4 45.0 MB
3. Techniques for image pre-processing/13. Noise removal - implementation.mp4 44.2 MB
8. Project 1 Searching for specific terms/1. Preparing the environment.mp4 43.6 MB
1. Introduction/2. Introduction to OCR.mp4 42.3 MB
5. Training a custom OCR/12. Pre-processing the image.mp4 42.2 MB
12. Extra content 2 convolutional neural networks/5. Dense neural network.mp4 42.2 MB
4. OCR with EAST for natural scenes/1. EAST - introduction.mp4 41.6 MB
3. Techniques for image pre-processing/3. Simple thresholding.mp4 41.5 MB
2. OCR with Tesseract/2. Preparing the environment.mp4 40.7 MB
9. Project 2 Scanner + OCR/1. Preparing the environment.mp4 40.6 MB
3. Techniques for image pre-processing/6. Gaussian adaptive thresholding.mp4 40.4 MB
7. OCR in videos/5. OCR with EasyOCR.mp4 40.3 MB
12. Extra content 2 convolutional neural networks/2. Convolutional operation.mp4 38.9 MB
3. Techniques for image pre-processing/9. Resizing - implementation.mp4 38.0 MB
5. Training a custom OCR/15. Processing the detections 2.mp4 37.8 MB
3. Techniques for image pre-processing/1. Grayscale.mp4 36.9 MB
5. Training a custom OCR/4. Joining the datasets.mp4 35.9 MB
6. Natural scenarios with EasyOCR/1. Preparing the environment.mp4 34.9 MB
5. Training a custom OCR/11. Preparing the environment.mp4 34.5 MB
8. Project 1 Searching for specific terms/7. Saving the results.mp4 33.9 MB
3. Techniques for image pre-processing/7. Color inversion.mp4 32.7 MB
8. Project 1 Searching for specific terms/3. Searching for texts.mp4 32.5 MB
9. Project 2 Scanner + OCR/4. OCR with Tesseract.mp4 31.0 MB
3. Techniques for image pre-processing/8. Resizing - intuition.mp4 30.9 MB
2. OCR with Tesseract/6. Page orientation detection.mp4 28.9 MB
11. Extra content 1 artificial neural networks/6. Delta parameter.mp4 28.6 MB
7. OCR in videos/3. Processing the video.mp4 26.7 MB
3. Techniques for image pre-processing/10. Morphological operations - intuition.mp4 26.6 MB
9. Project 2 Scanner + OCR/6. Putting all together.mp4 25.4 MB
3. Techniques for image pre-processing/14. Text recognition with OCR.mp4 24.7 MB
12. Extra content 2 convolutional neural networks/3. Pooling.mp4 24.1 MB
3. Techniques for image pre-processing/16. Homework solution.mp4 21.8 MB
8. Project 1 Searching for specific terms/5. Named entity recognition.mp4 20.5 MB
5. Training a custom OCR/1. Importing the libraries.mp4 19.1 MB
11. Extra content 1 artificial neural networks/4. Multilayer perceptron – error calculation.mp4 17.7 MB
10. Project 3 License plate reading/3. Improving image quality.mp4 15.9 MB
5. Training a custom OCR/9. Saving the neural network.mp4 15.8 MB
6. Natural scenarios with EasyOCR/2. Text recognition.mp4 12.9 MB
2. OCR with Tesseract/3. First text recognition.mp4 11.1 MB
13. Final remarks/1. Final remarks.mp4 7.1 MB
11. Extra content 1 artificial neural networks/8. Bias, error, stochastic gradient descent, and more parameters.srt 17.8 kB
11. Extra content 1 artificial neural networks/2. Single layer perceptron.srt 17.7 kB
5. Training a custom OCR/5. Pre-processing the data.srt 15.9 kB
3. Techniques for image pre-processing/12. Noise removal - intuition.srt 14.7 kB
2. OCR with Tesseract/8. Selection of texts 2.srt 13.7 kB
5. Training a custom OCR/13. Contour detection.srt 13.3 kB
4. OCR with EAST for natural scenes/5. Decoding the image 2.srt 13.3 kB
5. Training a custom OCR/6. Building the neural network.srt 13.1 kB
11. Extra content 1 artificial neural networks/7. Updating weights with backpropagation.srt 12.9 kB
11. Extra content 1 artificial neural networks/3. Multilayer perceptron – sum and activation functions.srt 12.9 kB
1. Introduction/1. Course content.srt 12.3 kB
6. Natural scenarios with EasyOCR/3. Writing the results on the image.srt 12.3 kB
4. OCR with EAST for natural scenes/2. Pre-processing the image.srt 12.0 kB
5. Training a custom OCR/16. Character recognition.srt 11.9 kB
5. Training a custom OCR/14. Processing the detections 1.srt 11.8 kB
8. Project 1 Searching for specific terms/4. Word cloud.srt 11.6 kB
2. OCR with Tesseract/1. Introduction to Tesseract.srt 11.3 kB
3. Techniques for image pre-processing/2. Thresholding - intuition.srt 10.9 kB
3. Techniques for image pre-processing/11. Morphological operations - implementation.srt 10.9 kB
7. OCR in videos/4. OCR with EAST and Tesseract.srt 10.8 kB
5. Training a custom OCR/8. Evaluating the neural network.srt 10.7 kB
9. Project 2 Scanner + OCR/3. Perspective transformation.srt 10.7 kB
2. OCR with Tesseract/10. Search using regular expressions.srt 10.5 kB
5. Training a custom OCR/3. Kaggle A-Z dataset.srt 10.4 kB
12. Extra content 2 convolutional neural networks/2. Convolutional operation.srt 10.3 kB
2. OCR with Tesseract/5. Page segmentation mode (PSM).srt 10.3 kB
4. OCR with EAST for natural scenes/3. Loading the neural network.srt 10.1 kB
7. OCR in videos/2. Video settings.srt 9.9 kB
2. OCR with Tesseract/9. Selection of texts 3.srt 9.8 kB
5. Training a custom OCR/10. Testing with images.srt 9.7 kB
2. OCR with Tesseract/4. Support for other languages.srt 9.5 kB
5. Training a custom OCR/2. MNIST 0-9 dataset.srt 9.5 kB
8. Project 1 Searching for specific terms/6. Search for texts in images.srt 9.2 kB
11. Extra content 1 artificial neural networks/5. Gradient descent.srt 9.0 kB
10. Project 3 License plate reading/1. Pre-processing the image.srt 8.7 kB
4. OCR with EAST for natural scenes/1. EAST - introduction.srt 8.5 kB
9. Project 2 Scanner + OCR/2. Contour detection.srt 8.4 kB
2. OCR with Tesseract/7. Selection of texts 1.srt 8.2 kB
3. Techniques for image pre-processing/13. Noise removal - implementation.srt 8.2 kB
7. OCR in videos/1. Preparing the environment.srt 7.9 kB
9. Project 2 Scanner + OCR/5. Improving image quality.srt 7.7 kB
12. Extra content 2 convolutional neural networks/1. Introduction to convolutional neural networks.srt 7.6 kB
5. Training a custom OCR/12. Pre-processing the image.srt 7.6 kB
6. Natural scenarios with EasyOCR/5. Text recognition (background).srt 7.5 kB
2. OCR with Tesseract/2. Preparing the environment.srt 7.4 kB
11. Extra content 1 artificial neural networks/6. Delta parameter.srt 7.3 kB
5. Training a custom OCR/7. Training the neural network.srt 7.3 kB
3. Techniques for image pre-processing/1. Grayscale.srt 7.2 kB
12. Extra content 2 convolutional neural networks/4. Flattening.srt 7.0 kB
5. Training a custom OCR/15. Processing the detections 2.srt 6.8 kB
8. Project 1 Searching for specific terms/1. Preparing the environment.srt 6.5 kB
4. OCR with EAST for natural scenes/4. Decoding the image 1.srt 6.4 kB
1. Introduction/2. Introduction to OCR.srt 6.3 kB
2. OCR with Tesseract/11. Detections in natural scenarios.srt 6.1 kB
3. Techniques for image pre-processing/5. Adaptive thresholding.srt 5.9 kB
8. Project 1 Searching for specific terms/2. Text recognition.srt 5.8 kB
3. Techniques for image pre-processing/4. Thresholding with Otsu method.srt 5.8 kB
6. Natural scenarios with EasyOCR/4. Other languages - French and Chinese.srt 5.8 kB
3. Techniques for image pre-processing/3. Simple thresholding.srt 5.7 kB
12. Extra content 2 convolutional neural networks/3. Pooling.srt 5.7 kB
9. Project 2 Scanner + OCR/1. Preparing the environment.srt 5.5 kB
11. Extra content 1 artificial neural networks/1. Biological fundamentals.srt 5.5 kB
4. OCR with EAST for natural scenes/6. Text recognition.srt 5.4 kB
12. Extra content 2 convolutional neural networks/5. Dense neural network.srt 5.3 kB
5. Training a custom OCR/11. Preparing the environment.srt 5.3 kB
8. Project 1 Searching for specific terms/3. Searching for texts.srt 5.3 kB
10. Project 3 License plate reading/2. Text recognition.srt 5.2 kB
7. OCR in videos/5. OCR with EasyOCR.srt 5.0 kB
6. Natural scenarios with EasyOCR/1. Preparing the environment.srt 5.0 kB
3. Techniques for image pre-processing/9. Resizing - implementation.srt 5.0 kB
11. Extra content 1 artificial neural networks/4. Multilayer perceptron – error calculation.srt 4.8 kB
5. Training a custom OCR/4. Joining the datasets.srt 4.8 kB
3. Techniques for image pre-processing/8. Resizing - intuition.srt 4.7 kB
3. Techniques for image pre-processing/6. Gaussian adaptive thresholding.srt 4.7 kB
8. Project 1 Searching for specific terms/7. Saving the results.srt 4.7 kB
3. Techniques for image pre-processing/16. Homework solution.srt 4.4 kB
5. Training a custom OCR/1. Importing the libraries.srt 4.3 kB
7. OCR in videos/3. Processing the video.srt 4.2 kB
3. Techniques for image pre-processing/14. Text recognition with OCR.srt 4.1 kB
2. OCR with Tesseract/6. Page orientation detection.srt 4.1 kB
3. Techniques for image pre-processing/7. Color inversion.srt 4.0 kB
9. Project 2 Scanner + OCR/4. OCR with Tesseract.srt 3.5 kB
8. Project 1 Searching for specific terms/5. Named entity recognition.srt 3.3 kB
5. Training a custom OCR/9. Saving the neural network.srt 3.2 kB
3. Techniques for image pre-processing/10. Morphological operations - intuition.srt 3.2 kB
9. Project 2 Scanner + OCR/6. Putting all together.srt 2.6 kB
13. Final remarks/2. BONUS.html 2.3 kB
2. OCR with Tesseract/3. First text recognition.srt 2.3 kB
10. Project 3 License plate reading/3. Improving image quality.srt 2.2 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

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