DTC bus detection, training cascade classifier, Computer vision
Files in the repository were used for following operations :
- DL_training_final - Colaboratory.pdf : google colab notebook used to train the model
- capture.sh : bash script to capture image in raspberry pi (bullseye update)
- change_image_size_pos.ipynb : image preprocessing
- checkModel.ipynb : model evaluation
- creating more negative images.ipynb : creating negative images from video frames
- evaluating_model.ipynb : evaluating model
- file_manuplation.ipynb : creating .txt files for data
- framesFromVideo.ipynb : framesFromVideo
- testing2.ipynb : checking the data obtained after preprocessing (positive)
- testingXML31.ipynb : testing 31.xml cascade classifier file
- testingXML35.ipynb : testing 35.xml cascade classifier file
- usingPyCam.ipynb : using pycam from raspberry pi (using capture.sh script, bullseye update)
Results :
