This repository deals with algorithms, techniques and projects that are learnt and implemented using PyImageSearch Blog.
However the codes are modified for different applications and also the image processing steps used are different from original blog
The computer vision applications illustrated are towards medical applications such as chest x-ray, brain tumor, skin cancer, pneumonia, malaria diseases, Parkinson's
| -# | Project Name | Tools, Framework | Proposed Date | Completion Date |
|---|---|---|---|---|
| 1 | OpenCV, scikit-image |  |
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| 2 | OpenCV, NumPy, SciPy |  |
Partial Complete  |
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| 3 | Keras, TensorFlow, and Deep Learning |  |
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| 4 | OpenCV, Computer Vision, and Spiral/Wave Test |  |
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| 5 | OpenCV |  |
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| -# | Project Name | Tools, Framework | Proposed Date | Completion Date |
|---|---|---|---|---|
| 6 | Keras, ResNet50 |  |
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| 7 | OpenCV, Keras,ResNet50, VGG16, VGG19, InceptionV3, Xception |  |
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| 8 | [OCR: Handwriting recognition with OpenCV, Keras, and TensorFlow] | Keras, RestNet50 |  |
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| 9 | [Deep Learning and Medical Image Analysis with Keras] | Keras, ResNet50 |  |