Udemy Optical Character Recognition OCR in Python 2022 | 6974A988E3A42F0D0BF909750CFCB55E4FAAE1EF

Udemy Optical Character Recognition OCR in Python 2022

Name	Udemy - Optical Character Recognition (OCR) in Python 2022	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	4.7 GB
Total Files	196
Hash	6974A988E3A42F0D0BF909750CFCB55E4FAAE1EF

/8. Project 1 Searching for specific terms/
4. Word cloud.mp4	112.5 MB
1. Preparing the environment.mp4	43.6 MB
1. Preparing the environment.srt	6.5 KB
1.1 Source code - Google Colab.html	0.1 KB
2. Text recognition.mp4	47.9 MB
2. Text recognition.srt	5.8 KB
3. Searching for texts.mp4	32.5 MB
3. Searching for texts.srt	5.3 KB
4. Word cloud.srt	11.6 KB
5. Named entity recognition.mp4	20.5 MB
5. Named entity recognition.srt	3.3 KB
6. Search for texts in images.mp4	68.6 MB
6. Search for texts in images.srt	9.3 KB
7. Saving the results.mp4	33.9 MB
7. Saving the results.srt	4.7 KB
/1. Introduction/
1. Course content.mp4	109.1 MB
1. Course content.srt	12.3 KB
2. Introduction to OCR.mp4	42.3 MB
2. Introduction to OCR.srt	6.3 KB
3. Course materials.html	0.4 KB
/2. OCR with Tesseract/
1. Introduction to Tesseract.mp4	48.4 MB
1. Introduction to Tesseract.srt	11.3 KB
1.1 Source code - Google Colab.html	0.1 KB
2. Preparing the environment.mp4	40.7 MB
2. Preparing the environment.srt	7.4 KB
3. First text recognition.mp4	11.1 MB
3. First text recognition.srt	2.3 KB
4. Support for other languages.mp4	73.0 MB
4. Support for other languages.srt	9.5 KB
5. Page segmentation mode (PSM).mp4	83.4 MB
5. Page segmentation mode (PSM).srt	10.3 KB
6. Page orientation detection.mp4	28.9 MB
6. Page orientation detection.srt	4.1 KB
7. Selection of texts 1.mp4	66.2 MB
7. Selection of texts 1.srt	8.2 KB
8. Selection of texts 2.mp4	93.5 MB
8. Selection of texts 2.srt	13.7 KB
9. Selection of texts 3.mp4	73.5 MB
9. Selection of texts 3.srt	9.8 KB
10. Search using regular expressions.mp4	79.5 MB
10. Search using regular expressions.srt	10.5 KB
11. Detections in natural scenarios.mp4	51.5 MB
11. Detections in natural scenarios.srt	6.1 KB
/3. Techniques for image pre-processing/
1. Grayscale.mp4	36.9 MB
1. Grayscale.srt	7.2 KB
1.1 Source code - Google Colab.html	0.1 KB
2. Thresholding - intuition.mp4	52.5 MB
2. Thresholding - intuition.srt	10.9 KB
3. Simple thresholding.mp4	41.5 MB
3. Simple thresholding.srt	5.7 KB
4. Thresholding with Otsu method.mp4	46.8 MB
4. Thresholding with Otsu method.srt	5.8 KB
5. Adaptive thresholding.mp4	45.0 MB
5. Adaptive thresholding.srt	5.9 KB
6. Gaussian adaptive thresholding.mp4	40.4 MB
6. Gaussian adaptive thresholding.srt	4.7 KB
7. Color inversion.mp4	32.7 MB
7. Color inversion.srt	4.0 KB
8. Resizing - intuition.mp4	30.9 MB
8. Resizing - intuition.srt	4.7 KB
9. Resizing - implementation.mp4	38.0 MB
9. Resizing - implementation.srt	5.0 KB
10. Morphological operations - intuition.mp4	26.6 MB
10. Morphological operations - intuition.srt	3.2 KB
11. Morphological operations - implementation.mp4	57.8 MB
11. Morphological operations - implementation.srt	10.9 KB
12. Noise removal - intuition.mp4	76.6 MB
12. Noise removal - intuition.srt	14.7 KB
13. Noise removal - implementation.mp4	44.2 MB
13. Noise removal - implementation.srt	8.2 KB
14. Text recognition with OCR.mp4	24.7 MB
14. Text recognition with OCR.srt	4.1 KB
15. HOMEWORK.html	0.4 KB
16. Homework solution.mp4	21.8 MB
16. Homework solution.srt	4.4 KB
/4. OCR with EAST for natural scenes/
1. EAST - introduction.mp4	41.6 MB
1. EAST - introduction.srt	8.5 KB
1.1 Source code - Google Colab.html	0.1 KB
2. Pre-processing the image.mp4	81.8 MB
2. Pre-processing the image.srt	12.0 KB
3. Loading the neural network.mp4	70.6 MB
3. Loading the neural network.srt	10.1 KB
4. Decoding the image 1.mp4	50.3 MB
4. Decoding the image 1.srt	6.4 KB
5. Decoding the image 2.mp4	93.7 MB
5. Decoding the image 2.srt	13.3 KB
6. Text recognition.mp4	49.8 MB
6. Text recognition.srt	5.4 KB
/5. Training a custom OCR/
1. Importing the libraries.mp4	19.1 MB
1. Importing the libraries.srt	4.3 KB
1.1 Source code - Google Colab.html	0.1 KB
2. MNIST 0-9 dataset.mp4	62.6 MB
2. MNIST 0-9 dataset.srt	9.5 KB
3. Kaggle A-Z dataset.mp4	67.1 MB
3. Kaggle A-Z dataset.srt	10.4 KB
4. Joining the datasets.mp4	35.9 MB
4. Joining the datasets.srt	4.8 KB
5. Pre-processing the data.mp4	107.7 MB
5. Pre-processing the data.srt	15.9 KB
6. Building the neural network.mp4	90.0 MB
6. Building the neural network.srt	13.1 KB
7. Training the neural network.mp4	52.3 MB
7. Training the neural network.srt	7.3 KB
8. Evaluating the neural network.mp4	76.4 MB
8. Evaluating the neural network.srt	10.7 KB
9. Saving the neural network.mp4	15.8 MB
9. Saving the neural network.srt	3.2 KB
10. Testing with images.mp4	49.6 MB
10. Testing with images.srt	9.7 KB
11. Preparing the environment.mp4	34.5 MB
11. Preparing the environment.srt	5.3 KB
11.1 Source code - Google Colab.html	0.1 KB
12. Pre-processing the image.mp4	42.2 MB
12. Pre-processing the image.srt	7.6 KB
13. Contour detection.mp4	77.7 MB
13. Contour detection.srt	13.3 KB
14. Processing the detections 1.mp4	69.0 MB
14. Processing the detections 1.srt	11.8 KB
15. Processing the detections 2.mp4	37.8 MB
15. Processing the detections 2.srt	6.8 KB
16. Character recognition.mp4	98.1 MB
16. Character recognition.srt	11.9 KB
17. Problems with 0 and O, 1 and l, 5 and S.mp4	53.7 MB
18. Problems with undetected texts.mp4	53.8 MB
/6. Natural scenarios with EasyOCR/
1. Preparing the environment.mp4	34.9 MB
1. Preparing the environment.srt	5.0 KB
1.1 Source code - Google Colab.html	0.1 KB
2. Text recognition.mp4	12.9 MB
2. Text recognition.srt	2.0 KB
3. Writing the results on the image.mp4	84.3 MB
3. Writing the results on the image.srt	12.3 KB
4. Other languages - French and Chinese.mp4	48.7 MB
4. Other languages - French and Chinese.srt	5.8 KB
5. Text recognition (background).mp4	62.5 MB
5. Text recognition (background).srt	7.5 KB
/7. OCR in videos/
1. Preparing the environment.mp4	56.0 MB
1. Preparing the environment.srt	7.9 KB
1.1 Source code - Google Colab.html	0.1 KB
2. Video settings.mp4	65.2 MB
2. Video settings.srt	9.9 KB
3. Processing the video.mp4	26.7 MB
3. Processing the video.srt	4.2 KB
4. OCR with EAST and Tesseract.mp4	99.1 MB
4. OCR with EAST and Tesseract.srt	10.8 KB
5. OCR with EasyOCR.mp4	40.3 MB
5. OCR with EasyOCR.srt	5.0 KB
/
Readme.txt	0.1 KB
/9. Project 2 Scanner + OCR/
1. Preparing the environment.mp4	40.6 MB
1. Preparing the environment.srt	5.5 KB
1.1 Source code - Google Colab.html	0.1 KB
2. Contour detection.mp4	57.0 MB
2. Contour detection.srt	8.4 KB
3. Perspective transformation.mp4	70.4 MB
3. Perspective transformation.srt	10.7 KB
4. OCR with Tesseract.mp4	31.0 MB
4. OCR with Tesseract.srt	3.5 KB
5. Improving image quality.mp4	51.0 MB
5. Improving image quality.srt	7.7 KB
6. Putting all together.mp4	25.4 MB
6. Putting all together.srt	2.6 KB
/10. Project 3 License plate reading/
1. Pre-processing the image.mp4	59.8 MB
1. Pre-processing the image.srt	8.7 KB
1.1 Source code - Google Colab.html	0.1 KB
2. Text recognition.mp4	50.2 MB
2. Text recognition.srt	5.2 KB
3. Improving image quality.mp4	15.9 MB
3. Improving image quality.srt	2.2 KB
/11. Extra content 1 artificial neural networks/
1. Biological fundamentals.mp4	60.4 MB
1. Biological fundamentals.srt	5.5 KB
2. Single layer perceptron.mp4	57.0 MB
2. Single layer perceptron.srt	17.7 KB
3. Multilayer perceptron – sum and activation functions.mp4	48.0 MB
3. Multilayer perceptron – sum and activation functions.srt	12.9 KB
4. Multilayer perceptron – error calculation.mp4	17.7 MB
4. Multilayer perceptron – error calculation.srt	4.8 KB
5. Gradient descent.mp4	45.2 MB
5. Gradient descent.srt	9.0 KB
6. Delta parameter.mp4	28.6 MB
6. Delta parameter.srt	7.3 KB
7. Updating weights with backpropagation.mp4	53.3 MB
7. Updating weights with backpropagation.srt	12.9 KB
8. Bias, error, stochastic gradient descent, and more parameters.mp4	66.5 MB
8. Bias, error, stochastic gradient descent, and more parameters.srt	17.8 KB
/12. Extra content 2 convolutional neural networks/
1. Introduction to convolutional neural networks.mp4	54.4 MB
1. Introduction to convolutional neural networks.srt	7.6 KB
2. Convolutional operation.mp4	38.9 MB
2. Convolutional operation.srt	10.3 KB
3. Pooling.mp4	24.1 MB
3. Pooling.srt	5.7 KB
4. Flattening.mp4	60.8 MB
4. Flattening.srt	7.0 KB
5. Dense neural network.mp4	42.2 MB
5. Dense neural network.srt	5.3 KB
/13. Final remarks/
1. Final remarks.mp4	7.1 MB
1. Final remarks.srt	1.8 KB
2. BONUS.html	2.3 KB
Total files 196