2018AICITY_ISU-TH

Dependency

Tensorflow Object Detection API depends on the following libraries:

• Protobuf 2.6
• Python-tk
• Pillow 1.0
• lxml
• tf Slim (which is included in the "tensorflow/models/research/" checkout)
• Jupyter notebook
• Matplotlib
• Tensorflow
• Cython
• cocoapi

For detailed steps to install Tensorflow, follow the Tensorflow installation instructions: https://www.tensorflow.org/install/

Additional dependency:

• cv2

Instruction

all_p is used to store all the pickles of detection results, tracking results and conversion matrices. Existing results can be downloaded here: https://drive.google.com/open?id=1gaTrK-odF7ysPovTnqI2a1pVSAVvGy-o

1. Extract frames: frame_extract.py, create track1_frames folder first.
2. Detection: detect.py, results saved in all_p/detect_p/
3. Tracking: track.py, results saved in all_p/track_p/
4. Warping: WARPING.ipnb, individual warping for each video, results saved as all_p/conversion1.p and all_p/warpM1.p
5. Speed conversion: HIGHWAY.py for location 1 and 2, INTERSECTION.py for location 3 and 4. Results saved in res/
6. Merge files: GenerateResults.py, generate file track1.txt