https://github.com/minsithu/computer-vision-studies-code
Code for studying computer vision
https://github.com/minsithu/computer-vision-studies-code
computer-vision imutils matplotlib myanmar opencv python tensorflow tutorial
Last synced: 10 months ago
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Code for studying computer vision
- Host: GitHub
- URL: https://github.com/minsithu/computer-vision-studies-code
- Owner: MinSiThu
- Created: 2023-01-12T08:47:53.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2023-02-18T04:43:19.000Z (about 3 years ago)
- Last Synced: 2025-02-26T12:42:56.287Z (about 1 year ago)
- Topics: computer-vision, imutils, matplotlib, myanmar, opencv, python, tensorflow, tutorial
- Language: Jupyter Notebook
- Homepage:
- Size: 1.3 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Computer Vision Code
I made these codes on Google Colab & Export into python file.
I made a list for these files to easily study step by step.
1. [CV2 Basics](/cv2_tutorials.py)
2. [CV2 Contours & Mask, thresholding](cv2_contours.py)
3. [Filters 2D](filters.py)
4. [Edge Detections](edge_detections.py)
5. [Scale Invariant Feature Transform](sift.py)
6. [Scanning Exam Bubble Sheet - OMR](bubble_exam_sheet_omr.py)
7. [Image Segmentation with K Means Clustering](image_segmentation_with_k_means_clustering.py)
8. [CIFAR 10 Image Classification with Tensorflow](cifar_10_image_classification.py)
9. [Snake Classification in Keras using VGG16](Using_VGG16_for_Snake_Classification.ipynb)
10. [Using Resnet50 pretrained model for classification](Using_Resnet50_pretrained_model.ipynb)
11. [Generative Adverserial Network fro MNIST](gan_for_mnist.py)
Technologies included - python, opencv2, imutils, matplotlib, tensorflow, keras
# LICENSE
These code bases are mainly for educational purpose & can be used freely for any purpose too. Consequences used by open source consumers are **not guranted** by code base contributor. (DO AS YOU PREFER, I MADE IT FREE)