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https://github.com/tusharmakkar08/elephant_detection
Elephants Detection and Classifier
https://github.com/tusharmakkar08/elephant_detection
Last synced: 25 days ago
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Elephants Detection and Classifier
- Host: GitHub
- URL: https://github.com/tusharmakkar08/elephant_detection
- Owner: tusharmakkar08
- License: mit
- Created: 2015-04-10T09:47:08.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2015-04-17T07:10:20.000Z (over 9 years ago)
- Last Synced: 2023-04-01T12:52:12.352Z (over 1 year ago)
- Language: Python
- Size: 273 KB
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 1
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# elephant_detection
Elephants Detection and Classifier
#### Used :
* HOG based Features
* SVM Training Model
#### TODO :
* Crossfold Validation
#### Requirements :
* Python
* OpenCV (cv2)
* numpy
* sklearn
#### How to Run ?
* Set up the path for positive images, negative images and test images in `main.py` code.
* Use `resizeImages` function to resize them to `200x128`(can fix any size such that the given size <= minimum size of the images). This is done to make the HOG feature vector of same length.
* Make the classifier and save it for future use
* Run `python main.py`
#### How to Test Images ?
* Follow same steps as `How to run ?`
* Modify `main function` by calling `testImage` fucntion with the image name and classifier.
* Run `python main.py`