amitbcp/computer-vision

This repository is for the Computer Vision Nano-degree Program from Udacity.

Computer Vision Techniques & Practice

This repository contains different techniques used in Computer Vision from classical techniques to deep learning based approaches. The contents start with simple concepts & examples and use Open CV. In the later sections deep learning based approaches are tried where Scene Understanding to Object Detection have been implemented for practice.

Solutions uses multiple techniques across frameworks like PyTorch,Tensorflow & Keras.

Topics

1. Image Representation
2. Computer Vision Fundatamentals
3. Camera Calibration
4. Gradients Color Spaces
5. Object Detection
6. Object Detection Technique
7. Object Tracking & Localisation
8. Kalman Filters
9. Lane Detection
10. Neural Networks
11. Tensorflow
12. Deep Neural Networks
13. CNNs
14. Keras
15. Transfer Learning
16. Fully Convolution Network
17. Scene Understanding

computer-vision's Issues

Collaboration for computer vision project

Hi,

I did not know how to reach you so opening issue here. Please close if it seems irrelevant.

I saw your GitHub status "Looking to collaborate on Computer Vision projects". If you're still open to talk about it, please do let me know.

We have around 6k HD ANNOTATED (segmentation masks) panaromic view images. We are failing to get better accuracy using detectron2 framework (mask rcnn). I think your insights will be really helpful in this matter.

Thanks and regards,
Rakesh