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| ## The file structure is a as follows: | ||
| ## File structure | ||
| . | ||
| ├── Code | ||
| | ├── CurveFitting.py | ||
| | ├── Homography.py | ||
| ├── Data | ||
| | ├── Video1.mp4 | ||
| | ├── Video2.mp4 | ||
| ├── Results | ||
| | ├── Video1 | ||
| | | ├── .png files | ||
| | ├── Video2 | ||
| | | ├── .png files | ||
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||
| # Problem 1 | ||
| A ball is thrown against a white background and a camera sensor is used to track its | ||
| trajectory. We have a near perfect sensor tracking the ball in video1 and the second sensor is | ||
| faulty and tracks the ball as shown in video2. Clearly, there is no noise added to the first video | ||
| whereas there is significant noise in video 2. Assuming that the trajectory of the ball follows | ||
| the equation of a parabola | ||
| - Use Standard Least Squares, TLS and RANSAC methods to fit curves to the given videos | ||
| in each case. You have to plot the data and your best fit curve for each case. Submit | ||
| your code along with the instructions to run it. (Hint: Read the video frame by frame | ||
| using OpenCV’s inbuilt function. For each frame, filter the red channel for the ball and | ||
| detect the topmost and bottom most colored pixel and store it as X and Y coordinates. | ||
| Use this information to plot curves.) | ||
| - Briefly explain all the steps of your solution and discuss which would be a better choice | ||
| of outlier rejection technique for each case. | ||
|
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||
| sakshi_hw1 | ||
| -----Code -- all .py and .ipynb files | ||
| -----Data -- video files | ||
| -----graphs -- all plotted graphs are saved here | ||
| --------video1 | ||
| --------video2 | ||
|
|
||
| ## Running the code | ||
| Change the directory to sakshi_hw1/Code | ||
| - Change the directory to the root folder | ||
| - Run the following command: | ||
| ``` python3 CurveFitting.py --BasePath='./' --VideoFilePath='./Data/Ball_travel_10fps.mp4' --SaveFolderName='graphs/video1' ``` | ||
| ## Parameters | ||
| - BasePath - This is the base folder path | ||
| - VideoFilePath - By default, the path is set as ./Data/Ball_travel_2_updated.mp4 | ||
| - SaveFolderName - the path to folder where all the plots will be saved. The folder must be inside the BasePath | ||
| ## Results | ||
| ### Video1 | ||
| #### Data points | ||
|  | ||
| #### Least Square Method | ||
|  | ||
| #### Total Least Square Method | ||
|  | ||
| #### RANSAC | ||
|  | ||
|
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||
| ### Video2 | ||
| #### Data points | ||
|  | ||
| #### Least Square Method | ||
|  | ||
| #### Total Least Square Method | ||
|  | ||
| #### RANSAC | ||
|  | ||
|
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||
| ### Part 1 - Curve fitting | ||
| Run the CurveFitting.py using the command | ||
| python3 CurveFitting.py --BasePath='/home/sakshi/courses/ENPM673/sakshi_hw1/' --VideoFilePath='/home/sakshi/courses/ENPM673/sakshi_hw1/Data/Ball_travel_10fps.mp4' --SaveFolderName='graphs/video1' | ||
| The arguments are | ||
| 1)BasePath - This is the base folder path | ||
| 2)VideoFilePath - By default, the path is set as /home/sakshi/courses/ENPM673/sakshi_hw1/Data/Ball_travel_2_updated.mp4 | ||
| 3)SaveFolderName - the path to folder where all the plots will be saved. The folder must be inside the BasePath | ||
|
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||
| ### Part 2 - | ||
| python3 Homography.py |