Computer Vision Research Project: Stereo Disparity

Guide

Import the images.

The images should be store in the folder "Dataset". And the research_project.ipynb should be at the same directory.

|-Dataset | |───2018-07-09-16-11-56_2018-07-09-16-11-56-702-disparity.png | |───2018-07-09-16-11-56_2018-07-09-16-11-56-702-left.jpg | |───2018-07-09-16-11-56_2018-07-09-16-11-56-702-right.jpg | |───.... |-research_project.ipynb

Create the object

The computation process is implemented in OOP in the class ComputeDisparity. To compute the disparity map of two images, we need to initialize an object with 3 elements, 1)path of left image, 2)path of right image and 3)path of ground_truth disparity map.

```python
 dis_object = ComputeDisparity("./Dataset/2018-07-09-16-11-56_2018-07-09-16-11-56-702-left.jpg",
                         "./Dataset/2018-07-09-16-11-56_2018-07-09-16-11-56-702-right.jpg", 
                         "./Dataset/2018-07-09-16-11-56_2018-07-09-16-11-56-702-disparity.png")
```

Apply the available algorithm

In the ComputeDisparity, There are lots of algorithms being implemented to compute the disparity map, Take the accelerated SSD as example:

```python
 dis_object = ComputeDisparity("./Dataset/2018-07-09-16-11-56_2018-07-09-16-11-56-702-left.jpg",
                         "./Dataset/2018-07-09-16-11-56_2018-07-09-16-11-56-702-right.jpg", 
                         "./Dataset/2018-07-09-16-11-56_2018-07-09-16-11-56-702-disparity.png")

dis_object.compute_ssd_disparity_acc2(3,70)#3 is the window size and 70 is the search range
```

Analysis the result

In the ComputeDisparity, The analysis function is being implmented, we can see the result of the implementation with simply call the function analysis()

```python
 dis_object = ComputeDisparity("./Dataset/2018-07-09-16-11-56_2018-07-09-16-11-56-702-left.jpg",
                         "./Dataset/2018-07-09-16-11-56_2018-07-09-16-11-56-702-right.jpg", 
                         "./Dataset/2018-07-09-16-11-56_2018-07-09-16-11-56-702-disparity.png")

dis_object.compute_ssd_disparity_acc2(3,70)#3 is the window size and 70 is the search range
dis_object.analysis()
```

There are lots of examples of result at second half of the research_project file.