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Open Source Computer Vision Library
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34 lines
979 B
34 lines
979 B
12 years ago
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#!/usr/bin/env python
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import argparse
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import sft
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import sys, os, os.path, glob, math, cv2, re
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from datetime import datetime
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import numpy
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if __name__ == "__main__":
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path = "/home/kellan/datasets/caltech/set00/V000.txt"
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# open annotation file
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f = open(path)
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(nFrame, nSample) = sft.caltech.parse_header(f)
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objects = sft.caltech.extract_objects(f)
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caltechSamples = []
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annotations = [[] for i in range(nFrame)]
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for obj in objects:
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(type, start, end) = re.search(r'^lbl=\'(\w+)\'\s+str=(\d+)\s+end=(\d+)\s+hide=0$', obj[0]).groups()
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print type, start, end
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start = int(start) -1
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end = int(end)
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pos = sft.caltech.parse_pos(obj[1])
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posv = sft.caltech.parse_pos(obj[2])
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occl = sft.caltech.parse_occl(obj[3])
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for idx, (p, pv, oc) in enumerate(zip(*[pos, posv, occl])):
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annotations[start + idx].append((type, p, oc, pv))
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for each in annotations:
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print each
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