Python load_csv_tables Examples

Example #1

File: HotSpotterAPI.py Project: Erotemic/hotspotter

 def load_tables(hs, db_dir=None):
     # Check to make sure db_dir is specified correctly
     if db_dir is None:
         db_dir = hs.args.dbdir
     if db_dir is None or not exists(db_dir):
         raise ValueError('db_dir=%r does not exist!' % (db_dir))
     hs_dirs, hs_tables, db_version = ld2.load_csv_tables(db_dir)
     hs.tables = hs_tables
     hs.dirs = hs_dirs
     if db_version != 'current':
         print('Loaded db_version=%r. Converting...' % db_version)
         hs.save_database()
     _checkargs_onload(hs)

Example #2

File: HotSpotterAPI.py Project: warunanc/hotspotter

 def load_tables(hs, db_dir=None):
     # Check to make sure db_dir is specified correctly
     if db_dir is None:
         db_dir = hs.args.dbdir
     if db_dir is None or not exists(db_dir):
         raise ValueError('db_dir=%r does not exist!' % (db_dir))
     hs_dirs, hs_tables, db_version = ld2.load_csv_tables(db_dir)
     hs.tables = hs_tables
     hs.dirs = hs_dirs
     if db_version != 'current':
         print('Loaded db_version=%r. Converting...' % db_version)
         hs.save_database()
     _checkargs_onload(hs)

Example #3

File: freak_tests.py Project: Erotemic/hotspotter

    chip_fpath =   '/media/Store/data/work/zebra_with_mothers/06_410/1.JPG'

if not os.path.exists(chip_fpath):
    print("PATH DOES NOT EXIST: "+str(chip_fpath))
    sys.exit(1)

# OpenCV Feature Detector Benchmarks
# http://computer-vision-talks.com/2011/01/comparison-of-the-opencvs-feature-detection-algorithms-2/
# Conclusion: FAST is fast, STAR has low error

# OpenCV Feature Detector Documentation
# http://docs.opencv.org/modules/features2d/doc/feature_detection_and_description.html#freak-freak

import load_data2
db_dir = load_data2.MOTHERS
hs_tables, hs_dirs = load_data2.load_csv_tables(db_dir)
exec(hs_tables.execstr('hs_tables'))
print(hs_tables)

chip_dir = db_dir + '.hs_internals/computed/chips/'
feat_dir = db_dir + '.hs_internals/computed/feats/'

kpts_type_pref = Pref('SIFT', choices=['SIFT', 'SURF', 'ORB', 'BRISK', 'BRIEF'])
kpts_type = kpts_type_pref.value()

__SIFT_PARAMS__ = ['contrastThreshold', 'edgeThreshold', 'nFeatures', 'nOctaveLayers', 'sigma']
__FREAK_PARAMS__ = ['nbOctave', 'orientationNormalized', 'patternScale', 'scaleNormalized']

img = read_img(chip_fpath)
#in_place_black_bar(img)

Example #4

File: freak_tests.py Project: warunanc/hotspotter

    chip_fpath = '/media/Store/data/work/zebra_with_mothers/06_410/1.JPG'

if not os.path.exists(chip_fpath):
    print("PATH DOES NOT EXIST: " + str(chip_fpath))
    sys.exit(1)

# OpenCV Feature Detector Benchmarks
# http://computer-vision-talks.com/2011/01/comparison-of-the-opencvs-feature-detection-algorithms-2/
# Conclusion: FAST is fast, STAR has low error

# OpenCV Feature Detector Documentation
# http://docs.opencv.org/modules/features2d/doc/feature_detection_and_description.html#freak-freak

import load_data2
db_dir = load_data2.MOTHERS
hs_tables, hs_dirs = load_data2.load_csv_tables(db_dir)
exec(hs_tables.execstr('hs_tables'))
print(hs_tables)

chip_dir = db_dir + '.hs_internals/computed/chips/'
feat_dir = db_dir + '.hs_internals/computed/feats/'

kpts_type_pref = Pref('SIFT',
                      choices=['SIFT', 'SURF', 'ORB', 'BRISK', 'BRIEF'])
kpts_type = kpts_type_pref.value()

__SIFT_PARAMS__ = [
    'contrastThreshold', 'edgeThreshold', 'nFeatures', 'nOctaveLayers', 'sigma'
]
__FREAK_PARAMS__ = [
    'nbOctave', 'orientationNormalized', 'patternScale', 'scaleNormalized'