Sustainable Computing Research Group (SCoRe)
[D4D - Machine Learning] Feature Extraction
1.Refer the note.
2.Go to the positive_features and negative_features folders through D4D---Drone-4-Dengue/d4d-data/detecting_water_retention_areas/image_features/.
3.Delete all the ".feet" files in those folders.
4.Upload a screenshot of the content of those folders.
5.Then go to "extract_features.py" file thorough D4D---Drone-4-Dengue/d4d-data/detecting_water_retention_areas/.
6.Change "pos_path" and "neg_path" according to the newly created folders.
7.Then execute the "extract_features.py" file.
8.Submit the "extract_features.py" file.
9.Submit the generated feature folders.
Note:
1.Please complete the previous task to complete this task.
2.You have three submissions (Read step 4, 8 and 9).
Students who completed this task
Padam Chopra, Adhyan Dhull, Mehant Kammakomati, Moses Paul, Kalyan C
Task type
- code Code
- assessment Outreach / Research
- done_all Quality Assurance