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Udemy - Optical Character Recognition (OCR) in Python 2022
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Udemy - Optical Character Recognition (OCR) in Python 2022
磁力链接/BT种子简介
种子哈希:
6974a988e3a42f0d0bf909750cfcb55e4faae1ef
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收录时间:
2024-11-26
最近下载:
2025-07-25
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文件列表
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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